[2] Adams, R. D., and K. McCormick, 1992, Fashion dynamics and the economic theory of clubs, Rev. Soc. Econ. 50,


 Silvia Flowers
 2 years ago
 Views:
Transcription
1 References [1] Abdullaev, F. K., S. A. Darmanyan, M. R. Djumaev, A. J. Majid, and M. P. Sørensen, 1995, Evolution of randomly perturbed Kortewegde Vries solutions, Phys. Rev. E 52, [2] Adams, R. D., and K. McCormick, 1992, Fashion dynamics and the economic theory of clubs, Rev. Soc. Econ. 50, [3] Agraa, O. M., and B. Whitehead, 1968, A study of movement in a school building, Build. Sci. 2, [4] AgyemangDuah, K., and F. L. Hall, 1991, Some issues regarding the numerical value of freeway capacity, in Highway Capacity and Level of Service, edited by U. Brannolte (Balkema, Rotterdam), pp [5] Ahmed, K. I., M. E. BenAkiva, H. N. Koutsopoulos, and R. B. Mishalani, 1996, Models of freeway lane changing and gap acceptance behavior, in Lesort (1996), pp [6] Aicardi, M., F. Davoli, R. Minciardi, and R. Zoppoli, 1991, The use of neural networks in the solution of dynamic routing problems, in Progress in Systems and Control Theory, Vol. 7, pp [7] Albano, E. V., 1996, Selforganized collective displacements of selfdriven individuals, Phys. Rev. Lett. 77, [8] Albert, R., H. Jeong, and A.L. Barabási, 1999, Diameter of the worldwide web, Nature 401, [9] Albert, R., H. Jeong, and A.L. Barabási, 2000, Error and attack tolerance of complex networks, Nature 406, [10] Alberti, E., and G. Belli, 1978, Contributions to the Boltzmannlike approach for traffic flow A model for concentration dependent driving programs, Transpn. Res. 12, [11] Alcaraz, F. C., M. Droz, M. Henkel, and V. Rittenberg, 1994, Reactiondiffusion processes, critical dynamics, and quantum chains, Ann. Phys. NY 230, [12] Alchian, A. A., 1950, Uncertainty, evolution and economic theory, J. Polit. Econ. 58, [13] Alexander, S., and T. Holstein, 1978,???, Phys. Rev. B 18, 301???. [14] Alfa, A. S., 1989, Departure rate and route assignment of commuter traffic during peak period, Transpn. Res. B 23,
2 [15] AlGadhi, S. A. H, and H. S. Mahmassani, 1990, Modelling crowd behavior and movement: Application to Makkah pilgrimage, in Proceedings of the 11th International Symposium on Transportation and Traffic Theory, edited by M. Koshi (Elsevier, New York), pp [16] AlGadhi, S. A. H, H. S. Mahmassani, and R. Herman, 2001, A speedconcentration relation for bidirectional crowd movements with strong interaction, in Schreckenberg and Sharma (2001), pp [17] Alon, U., M. R. Evans, H. Hinrichsen, and D. Mukamel, 1996, Roughening transition in a onedimensional growth process, Phys. Rev. Lett. 76, [18] Alvarez, A., J. J. Brey, and J. M. Casado, 1990, A simulation model for traffic flow with passing, Transpn. Res. B 24, [19] Andersen, H. C., J. D. Weeks, and D. Chandler, 1971, Relationship between the hardsphere fluid and fluids with realistic repulsive forces, Phys. Rev. A 4, [20] Anderson, D. A., J. C. Tannehill, and R. H. Pletcher, 1984, Computational Fluid Mechanics and Heat Transfer (Hemisphere, Washington). [21] Anderson, N. H., 1961, Group performance in an anagram task, J. Soc. Psychol. 55, [22] Anderson, P. W., K. J. Arrow, and D. Pines, 1990, Eds., The Economy as an Evolving Complex System I (Addison Wesley, Reading, MA). [23] Andrews, F. C., 1970a, A statistical theory of traffic flow on highways I. Steadystate flow in lowdensity limit, Transpn. Res. 4, [24] Andrews, F. C., 1970b, A statistical theory of traffic flow on highways II. Threecar interactions and the onset of queuing, Transpn. Res. 4, [25] Andrews, F. C., 1973a, A statistical theory of traffic flow on highways III. Distributions of desired speeds, Transpn. Res. 7, [26] Andrews, F. C., 1973b, A statistical theory of traffic flow on highways IV. Semiempirical steady state theory, Transpn. Res. 7, [27] Androsch, W., 1978, Zur Problematik der Übergangszeit bei Startvorgängen an Knotenpunkten mit Lichtsignalanlagen, Ph.D. thesis (TH Darmstadt). [28] Ansorge, R., 1990, What does the entropy condition mean in traffic flow theory?, Transpn. Res. B 24,
3 [29] Antal, T., and Schütz, G. M., 2000, Asymmetric exclusion process with nextnearestneighbor interaction: Some comments on traffic flow and a nonequilibrium reentrance transition, Phys. Rev. E 62, [30] Antoni, M., and R. Cafiero, 1999, Dynamical phases and hysteresis in a simple onelane traffic model, eprint condmat/ [31] Aoki, M., 1996, New Approaches to Macroeconomic Modeling: Evolutionary Stochastic Dynamics, Multiple Equilibria and Externalities as Field Effects (Cambridge University, Cambridge, England). [32] Arneodo, A., J.F. Muzy, and D. Sornette, 1999, Direct causal cascade in the stock market, Eur. Phys. J. B 2, [33] Arnott, R., A. de Palma, and R. Lindsey, 1991, Does providing information to drivers reduce traffic congestion?, Transpn. Res. A 25, [34] Arns, T., 1993, Video films of pedestrian crowds (available at: Thomas Arns, Wannenstr. 22, Stuttgart, Germany). [35] Arthur, W. B., 1988, Competing technologies: An overview, in Dosi et al. (1988). [36] Arthur, W. B., 1989, Competing technologies, increasing returns, and lockin by historical events, Econ. J. 99, [37] Arthur, W. B., 1993, On designing economic agents that behave like human agents, J. Evol. Econ. 3, [38] Arthur, W. B., 1994, Inductive reasoning and bounded rationality, Am. Econ. Review 84, [39] Arthur, W. B., S. N. Durlauf, and D. A. Lane, 1997, Eds., The Economy as an Evolving Complex System II (Addison Wesley, Reading, MA). [40] Arthur, W. B., J. H. Holland, B. LeBaron, R. Palmer, and P. Tayler, 1997, Asset pricing under endogeneous expectations in an artificial stock market, in Arthur, Durlauf, and Lane (1997), pp [41] Asch, S. E., 1956, Studies of independence and conformity, Psychol. Monographs 70, [42] Ashford, N., M. O Leary, and P. D. McGinity, 1976, Stochastic modelling of passenger and baggage flows through an airport terminal, Traffic Engin. Contr. 17, [43] Astumian, R. D., 1997, Thermodynamics and kinetics of a Brownian motor, Science 276,
4 [44] Astumian, R. D., and M. Bier, 1994, Fluctuation driven ratchets: Molecular motors, Phys. Rev. Lett. 72, [45] Atkinson, J. W., 1964, An Introduction to Motivation (Van Nostrand, New York). [46] Aw, A., and M. Rascle, 2000, Resurrection of second order models of traffic flow, SIAM J. Appl. Math. 60, [47] Awazu, A., 1998, Dynamics of two equivalent lanes traffic flow model: SelfOrganization of the slow lane and fast lane, J. Phys. Soc. Jpn. 67, [48] Axelrod, R., 1984, The Evolution of Cooperation (Basic, New York). [49] Axelrod, R., and D. Dion, 1988, The further evolution of cooperation, Science 242, [50] Axelrod, R., and W. D. Hamilton, 1981, The evolution of cooperation, Science 211, [51] Babcock IV, P. S., D. M. Auslander, M. Tomizuka, and A. D. May, 1984, Role of adaptive discretization in a freeway simulation model, Transpn. Res. Rec. 971, [52] Baeck, T., 1996, Evolutionary Algorithms in Theory and Practice (Oxford University, New York). [53] Bak, P., 1996, How Nature Works: The Science of SelfOrganized Criticality (Copernicus, New York) [54] Bak, P., K. Chen, and M. Creutz, 1989, Selforganized criticality in the Game of Life, Nature 342, [55] Bak, P., M. Paczuski, and M. Shubik, 1997, Price variations in a stock market with many agents, Physica A 246, [56] Bak, P., C. Tang, and K. Wiesenfeld, 1987, Selforganized criticality: An explanation of 1/f noise, Phys. Rev. Lett. 59, [57] Bak, P., C. Tang, and K. Wiesenfeld, 1988, Selforganized criticality, Phys. Rev. A 38, [58] Bando, M., K. Hasebe, A. Nakayama, A. Shibata, and Y. Sugiyama, 1994, Structure stability of congestion in traffic dynamics, Jpn. J. Industr. Appl. Math. 11, [59] Bando, M., K. Hasebe, A. Nakayama, A. Shibata, and Y. Sugiyama, 1995a, Dynamical model of traffic congestion and numerical simulation, Phys. Rev. E 51, [60] Bando, M., K. Hasebe, K. Nakanishi, A. Nakayama, 1998, Analysis of optimal velocity model with explicit delay, Phys. Rev. E 58,
5 [61] Bando, M., K. Hasebe, K. Nakanishi, A. Nakayama, A. Shibata, and Y. Sugiyama, 1995b, Phenomenological study of dynamical model of traffic flow, J. Phys. I France 5, [62] Banks, J. H., 1989, Freeway speedflowcongestion relationships: More evidence and interpretations, Transpn. Res. Rec. 1225, [63] Banks, J. H., 1990, Flow processes at a freeway bottleneck, Transpn. Res. Rec. 1287, [64] Banks, J. H., 1991a, Twocapacity phenomenon at freeway bottlenecks: A basis for ramp metering?, Transpn. Res. Rec. 1320, [65] Banks, J. H., 1991b, The twocapacity phenomenon: Some theoretical issues, Transpn. Res. Rec. 1320, [66] Banks, J. H., 1995, Another look at a priori relationships among traffic flow characteristics, Transpn. Res. Rec. 1510, [67] Banks, J. H., 1999, An investigation of some characteristics of congested flow, Transpn. Res. Rec. 1678, [68] Bántay, P., and I. M. Jánosi, 1992, Avalanche dynamics from anomalous diffusion, Phys. Rev. Lett. 68, [69] Barabási, A.L., and H. E. Stanley, 1995, Fractal Concepts in Surface Growth (Cambridge University, Cambridge, England). [70] Barfield, W., and T. Dingus, 1998, Human Factors in Intelligent Transportation Systems (Erlbaum, Mahwah, NJ). [71] Barlovic, R., L. Santen, A. Schadschneider, and M. Schreckenberg, 1998, Metastable states in cellular automata for traffic flow, Eur. Phys. J. B 5, [72] Barone, E., 1981, Further remarks on a semilinear problem arising from kinetic theory of vehicular traffic, Transp. Theory and Statist. Phys. 9, [73] Barret, C. L., S. Eubank, K. Nagel, S. Rasmussen, J. Riodan, and M. Wolinsky, 1995, Issues in the Representation of Traffic Using MultiResolution Cellular Automata (Los Alamos National Laboratory), Technical Report No. LA/UR [74] Bartussek, R., and P. Hänggi, 1995, Brownsche Motoren: Wie aus Brownscher Bewegung makroskopischer Transport wird, Phys. Bl. 51, [75] Bartussek, R., P. Hänggi, and J. G. Kissner, 1994, Periodically rocked thermal ratchets, Europhys. Lett. 28,
6 [76] Bartussek, R., P. Reimann, and P. Hänggi, 1996, Precise numerics versus theory for correlation ratchets, Phys. Rev. Lett. 76, [77] Bass, T., 5/1992, Road to ruin, Discover 5, [78] Batty, M., 1991, Generating urban forms from diffusive growth, Env. Plan. A 23, [79] Batty, M., 1997, Predicting where we walk, Nature 388, [80] Batty, M., P. A. Longley, and S. Fotheringham, 1989, Urban growth and form: Scaling, fractal geometry, and diffusionlimited aggregation, Env. Plan. A 21, [81] Baumann, G., I. M. Janosi, and D. E. Wolf, 1994, Particle trajectories and segregation in a twodimensional rotating drum, Europhys. Lett. 27, [82] Baxter, G. W., R. P. Behringer, T. Fagert, and G. A. Johnson, 1989, Pattern formation in flowing sand, Phys. Rev. E 62, [83] Bazzan, A. L. C., R. H. Bordini, G. K. Andrioti, R. M. Vicari, and J. Wahle, 2000, Wayward agents in a commuting scenario (Personalities in the minority game), in Proceedings of the 4th International Conference on MultiAgent Systems, edited by E. Durfee (IEEE Computer Society, Los Alamitos, Calif.), pp [84] Bazzan, A. L. C., J. Wahle, and F. Klügl, 1999, Agents in traffic modelling From reactive to social behaviour, in KI 99: Advances in Artificial Intelligence, edited by W. Burgard, T. Christaller, and A. B. Cremers (Springer, Berlin), pp [85] Bechinger, C., Q. H. Wei, and P. Leiderer, 2000, Reentrant melting of twodimensional colloidal systems, J. Phys: Condens. Matter 12, A425 A430. [86] Becker, R., 1978, Theorie der Wärme (Springer, Berlin). [87] Beckmann, H., F. Jacobs, K.H. Lenz, R. Wiedemann, and H. Zackor, 1973, Das Fundamentaldiagramm (Kirschbaum, BonnBad Godesberg). [88] Belitsky, V., J. Krug, E. J. Neves, and G. M. Schütz, 2001, A cellular automaton model for twolane traffic, J. Stat. Phys. 103, [89] Bellman, R. E., and L. A. Zadeh, 1970, Decision making in a fuzzy environment, Management Sci. 17, [90] BenAkiva, M., A. de Palma and I. Kaysi, 1991, Dynamic network models and driver information systems, Transpn. Res. A 25, [91] benavraham, D., and J. Köhler, 1992, Meanfield (n,m)cluster approximation for lattice models, Phys. Rev. A 45,
7 [92] Benekohal, R. F., and J. Treiterer, 1988, CARSIM: Car following model for simulation of traffic in normal and stop and go conditions, Transpn. Res. Rec. 1194, [93] Bengrine, M., A. Benyoussef, H. EzZahraouy, J. Krug, M. Loulidi, and F. Mhirech, 1999, A simulation study of an asymmetric exclusion model with open boundaries and random rates, J. Phys. A: Math. Gen. 32, [94] BenJacob, E., 1993, From snowflake formation to the growth of bacterial colonies, Part I: Diffusive patterning in nonliving systems, Contemp. Phys. 34, [95] BenJacob, E., 1997, From snowflake formation to growth of bacterial colonies, Part II: Cooperative formation of complex colonial patterns, Contemp. Phys. 38, [96] BenJacob, E., I. Cohen, and H. Levine, 2000, Cooperative selforganization of microorganisms, Adv. Phys. 49, [97] BenJacob, E., and P. Garik, 1990, The information of patterns in nonequilibrium growth. Nature 343, [98] BenJacob, E., O. Shochet, A. Tenenbaum, I. Cohen, A. Czirók, and T. Vicsek, 1994, Generic modelling of cooperative growth patterns in bacterial colonies, Nature 368, [99] Benjamin, S. C., N. F. Johnson, and P. M. Hui, 1996, Cellular automata models of traffic flow along a highway containing a junction, J. Phys. A: Math. Gen. 29, [100] Benjamini, I., P. A. Ferrari, and C. Landim, 1996, Asymmetric conservative processes with random rates, Stoch. Process. Appl. 61, [101] BenNaim, E., and P. L. Krapivsky, 1997, Stationary velocity distributions in traffic flows, Phys. Rev. E 56, [102] BenNaim, E., and P. L. Krapivsky, 1998, Steadystate properties of traffic flows, J. Phys. A: Math. Gen. 31, [103] BenNaim, E., and P. L. Krapivsky, 1999, Maxwell model of traffic flows, Phys. Rev. E 59, [104] BenNaim, E., P. L. Krapivsky, and S. Redner, 1994, Kinetics of clustering in traffic flows, Phys. Rev. E 50, [105] Benz, T., 1985, Mikroskopische Simulation von Energieverbrauch und Abgasemission im Straßenverkehr (MISEVA) (Institut für Verkehrswesen, Universität Karlsruhe). [106] Benz, T., 1993, The microscopic traffic simulator AS (Autobahn Simulator), in Pave (1993), pp
8 [107] Berg, P., A. Mason, and A. Woods, 2000, Continuum approach to carfollowing models, Phys. Rev. E 61, [108] Beylich, A. E., 1979, Elements of a kinetic theory of traffic flow, in Rarefied Gas Dynamics, edited by R. Campargue (Commissariat a l Energie Atomique, Paris), Vol. 1, pp [109] Beylich, A. E., 1981, Zur Entwicklung einer kinetischen Theorie des Verkehrsflusses., in Neue Wege in der Mechanik, edited by G. Adomeit and H.J. Frieske (VDIVerlag, Düsseldorf), pp [110] Bierlaire, M., and P. L. Toint, 1995, MEUSE: An origindestination matrix estimator that exploits structure, Transpn. Res. B 29, [111] Biham, O., A. A. Middleton, and D. Levine, 1992, Self organization and a dynamical transition in traffic flow models, Phys. Rev. A 46, R6124 R6127. [112] Bikhchandani, S., D. Hirshleifer, and I. Welch, 1992, A theory of fads, fashion, custom, and cultural change as informational cascades, J. Political Econ. 100, [113] Bleile, T., 1997, A new microscopic model for carfollowing behavior in urban traffic, in Proceedings of the 4th world Congress on Intelligent Transport Systems (ITS Congress Association, Brussels), CDROM Paper No [114] Manstetten, D., W. Krautter, and T. Schwab, 1997, Traffic simulation supporting urban control system development, in Proceedings of the 4th world Congress on Intelligent Transport Systems (ITS Congress Association, Brussels), CDROM Paper No [115] Bleile, T., 1999, Modellierung des Fahrzeugfolgeverhaltens im innerstädtischen PKW Verkehr, Ph.D. thesis (University of Stuttgart). [116] Blue, V. J., and J. L. Adler, 1998, Emergent fundamental pedestrian flows from cellular automata microsimulation, Trans. Res. Rec. 1644, [117] Blue, V. J., and J. L. Adler, 1999, Using cellular automata microsimulation to model pedestrian movements, in Ceder (1999), pp [118] Blue, V. J., and J. L. Adler, 2001a, Cellular automata microsimulation for modeling bidirectional pedestrian walkways, Transpn. Res. B 35, [119] Blue, V. J., and J. L. Adler, 2001b, Flow capacities from cellular automata modeling of proportional splits of pedestrians by direction, in Schreckenberg and Sharma (2001), pp [120] Blum, W., May 31, 1996, Und nun die Stauvorhersage, Die Zeit, p. 66 [121] Blumer, H., 1968, Fashion: From class differentiation to collective selection, Sociol. Quarterly 10,
9 [122] BMW Verkehr und Umwelt, Kalkulation der volkswirtschaftlichen Kosten durch behinderten Verkehr (Available at Pressestelle Verkehr und Umwelt, BMW AG, D München). [123] Boccara, N., H. Fukś, and Q. Zeng, 1997, Car accidents and number of stopped cars due to road blockage on a onelane highway, J. Phys. A: Math. Gen. 30, [124] Boeminghaus, D., 1982, Fußgängerbereiche + Gestaltungselemente / Pedestrian Areas and Design Elements / Zones pour Piétons + Elements de Conception (Krämer, Stuttgart). [125] Boillot, F., J. M. Blosseville, J. B. Lesort, V. Motyka, M. Papageorgiou, and S. Sellam, 1992, Optimal signal control of urban traffic networks, in Proceedings of the 6th IEE International Conference on Road Traffic Monitoring and Control (Institution of Electrical Engineers, London), pp [126] Bolay, K., 1998, Nichtlineare Phänomene in einem fluiddynamischen Verkehrsmodell, Master s thesis (University of Stuttgart). [127] Bolterauer, H., and M. Opper, 1981,???, Z. Phys. B 55, 155???. [128] Boltzmann, L., 1964, Lectures on Gas Theory (University of California, Berkeley). [129] Bonabeau, E., 1996, Marginally stable swarms are flexible and efficient, J. Phys. I France 6, [130] Bonabeau, E., G. Theraulaz, and J.L. Deneubourg, 1995, Phase diagram of a model of selforganizing hierarchies, Physica A 217, [131] Borgers, A., and H. Timmermans, 1986a, A model of pedestrian route choice and demand for retail facilities within innercity shopping areas, Geograph. Anal. 18, [132] Borgers, A., and H. Timmermans, 1986b, City centre entry points, store location patterns and pedestrian route choice behaviour: A microlevel simulation model, SocioEcon. Plan. Sci. 20, [133] Botee, H. M., and E. Bonabeau, 1998, Evolving ant colony optimization, Adv. Compl. Syst. 1, [134] Bottom, J., M. BenAkiva, M. Bierlaire, I. Chabini, H. Koutsopoulos, and Q. Yang, 1999, Investigation of route guidance generation issues by simulation with DynaMIT, in Ceder (1999), pp [135] Bouchaud, J.P., and M. Potters, 2000, Theory of Financial Risk: From Statistical Physics to Risk Management (Cambridge University, Cambridge, England). 9
10 [136] Bouchaud, J.P. and D. Sornette, 1994, The BlackScholes option pricing problem in mathematical finance: Generalization and extensions for a large class of stochastic processes, J. Phys. I France 4, [137] Bourzutschky, M., and J. Miller, 1995, Granular convection in a vibrated fluid, Phys. Rev. Lett. 74, [138] Bovy, P. H. L., 1998, Ed., Motorway Traffic Flow Analysis. New Methodologies and Recent Empirical Findings (Delft University of Technology, Delft). [139] Brackstone, M., and M. McDonald, 1994, Validity of microscopic modelling of motorway traffic, in Proceedings of the Intelligent Vehicles 94 Symposium, (IEEE, Piscataway, N.J.), pp [140] Brackstone, M., and M. McDonald, 1996, The microscopic modelling of traffic flow: Weaknesses and potential developments, in Wolf et al. (1996), pp [141] Brackstone, M., and M. McDonald, 2000, Car following: A historical review, Transpn. Res. F 2, [142] Brackstone, M., M. McDonald, and J. Wu, 1998, Lane changing on the motorway: Factors effecting its occurrence, and their implications, in Proceedings of the 9th International Conference on Road Transport Information and Control (IEE, London), pp [143] Braess, D., 1968, Über ein Paradoxon der Verkehrsplanung, Unternehmensforsch. 12, [144] Brankov, J. G., V. B. Priezzhev, A. Schadschneider, and M. Schreckenberg, 1996, The Kasteleyn model and a cellular automaton approach to traffic flow, J. Phys. A: Math. Gen. 29, L229 L235. [145] Brannolte, U., 1991, Ed., Highway Capacity and Level of Service (Balkema, Rotterdam). [146] Braude, V., 1996, Discrete traffic flow models and jamming transition, Master s thesis (Weizmann Institute of Science). [147] Braun, O. M., B. Hu, A. Filippov, and A. Zeltser, 1998, Traffic jams and hysteresis in driven onedimensional systems, Phys. Rev. E 58, [148] Breiman, L., 1969a, Data and models in homogeneous oneway traffic flow, Transpn. Res. 3, [149] Breiman, L., 1969b, Point and trajectory processes in oneway traffic flow, Transpn. Res. 3, [150] Breiman, L., 1969c, Spacetime relationships in oneway traffic flow, Transpn. Res. 3,
11 [151] Brilliantov, N. V., F. Spahn, J.M. Hertzsch and T. Pöschel, 1996, A model for collisions in granular gases, Phys. Rev. E 53, [152] Brilon, W., M. Großmann, and H. Blanke, 1993, Verfahren für die Berechnung der Leistungsfähigkeit und Qualität des Verkehrsablaufes auf Straßen (Bundesministerium für Verkehr, Abt. Straßenbau, BonnBad Godesberg). [153] Brilon, W., and M. Ponzlet, 1996, Application of traffic flow models, in Wolf et al. (1996), pp [154] Brilon, W., F. Huber, M. Schreckenberg, and H. Wallentowitz, 1999, Eds., Traffic and Mobility: Simulation Economics Environment (Springer, Heidelberg). [155] Brilon, W., and N. Wu, 1999, Evaluation of cellular automata for traffic flow simulation on freeway and urban streets, in Brilon et al.(1999), pp [156] Brown, R., 1965, Social Psychology (Free, New York). [157] Bruckner, E., W. Ebeling, M. A. Jimenez Montaño, and A. Scharnhorst, 1996, Nonlinear stochastic effects of substitution An evolutionary approach, J. Evol. Econ. 6, [158] Brunnet, L. G., and S. Gonçalves, 1997, Cellular automaton block model of traffic in a city, Physica A 237, [159] Buchholtz, V., and T. Pöschel, 1993, A vectorized algorithm for molecular dynamics of short range interacting particles, Int. J. Mod. Phys. C 4, [160] Buchholtz, V., and T. Pöschel, 1994, Numerical investigations of the evolution of sandpiles, Physica A 202, [161] Buckley, D., 1974, Ed., Proceedings of the 6th International Symposium on Transportation and Traffic Theory (Reed, London). [162] Buckley, W., 1967, Sociology and Modern Systems Theory (PrenticeHall, Englewood Cliffs, NJ). [163] Bui, D. D., P. Nelson, and S. L. Narasimhan, 1992, Computational Realizations of the Entropy Condition in Modeling Congested Traffic Flow (Texas Transportation Institute, Texas A&M University System), Report No. FHWA/TX92/ [164] Buisson, C., J. P. Lebacque, and J. B. Lesort, 1995, Macroscopic modelling of traffic flow and assignment in mixed networks (Laboratoire d Ingéniérie Circulation Transport, INRETS). [165] Bunde, A., H. J. Herrmann, A. Margolina, and H. E. Stanley, 1985, Universality classes for spreading phenomena: A new model with fixed static but continuously tunable kinetic exponents, Phys. Rev. Lett. 55,
12 [166] Bundesverkehrsministerium, 1995, Verkehr in Zahlen 1995 (Deutsches Institut für Wirtschaftsforschung, Abt. Verkehr). [167] Burstedde, C., A. Kirchner, K. Klauck, A. Schadschneider, and J. Zittartz, 2001a, Cellular automaton approach to pedestrian dynamics Applications, in Schreckenberg and Sharma (2001), pp [168] Burstedde, C., K. Klauck, A. Schadschneider, and J. Zittartz, 2001b, Simulation of pedestrian dynamics using a 2dimensional cellular automaton, Physica A 295, 507???. [169] Bussemaker, H. J., A. Deutsch, and E. Geigant, 1997, Meanfield analysis of a dynamical phase transition in a cellular automaton model for collective motion, Phys. Rev. Lett. 78, [170] Caldarelli, G., 2001, Cellular models for river networks, Phys. Rev. E 63, [171] Caldarelli, G., R. Marchetti, and L. Pietronero, 2000, The fractal properties of internet, Eur. Phys. Lett 52, [172] Caldarelli, G., M. Marsili, and Y.C. Zhang, 1997, A prototype model of stock exchange, Europhys. Lett. 40, [173] Calenbuhr, V., and J. L. Deneubourg, 1990, A model for trail following in ants: Individual and collective behaviour, in Biological Motion, edited by W. Alt and G. Hoffmann (Berlin, Springer), pp [174] Campos, I., A. Tarancón, F. Clérot, and L. A. Fernández, 1995, Thermal and repulsive traffic flow, Phys. Rev. E 52, [175] Carey, M., 1987, Optimally timevarying flows on congested networks, Opns. Res. 35, [176] Carstens, R. L., and S. L. Ring, 1970, Pedestrian capacities of shelter entrances, Traffic Engin. 41, [177] Cascetta, E., D. Inaudi, and G. Marquis, 1993, Dynamic estimators of origindestination matrices using traffic counts, Transpn. Sci. 27, [178] Cassidy, M. J., 1998, Bivariate relations in nearly stationary highway traffic, Transpn. Res. B 32, [179] Cassidy, M. J., and R. L. Bertini, 1999, Some traffic features at freeway bottlenecks, Transpn. Res. B 33, [180] Cassidy, M. J., and M. Mauch, 2001, An observed traffic pattern in long freeway queues, Transpn. Res. A 35,
13 [181] Cassidy, M. J., and J. R. Windover, 1995, Methodology for assessing dynamics of freeway traffic flow, Transpn. Res. Rec. 1484, [182] Ceder, A., 1976, A deterministic traffic flow model for the tworegime approach, Transpn. Res. Rec. 567, [183] Ceder, A., 1979, An algorithm to assign pedestrian groups dispersing at public gatherings based on pedestrian traffic modelling, Appl. Math. Model. 3, [184] Ceder, A., 1999, Ed., Proceedings of the 14th International Symposium on Transportation and Traffic Theory (Pergamon, New York, N. Y.). [185] Ceder, A., and A. D. May, 1976, Further evaluation of single and tworegime traffic flow models, Transpn. Res. Rec. 567, [186] Cercignani, C., and M. Lampis, 1988, On the kinetic theory of a dense gas of rough spheres, J. Stat. Phys. 53, [187] Challet, D., M. Marsili, and Y.C. Zhang, 2000, Modeling market mechanism with minority game, Physica A 276, [188] Challet, D., and Y.C. Zhang, 1998, On the minority game: Analytical and numerical studies, Physica A 256, [189] Chandler, R. E., R. Herman, and E. W. Montroll, 1958, Traffic dynamics: Studies in car following, Opns. Res. 6, [190] Chang, G.L., and Y.M. Kao, 1991, An empirical investigation of macroscopic lanechanging characteristics on uncongested multilane freeways, Transpn. Res. A 25, [191] Chang, T., and I. Lai, 1997,???, Transpn. Res. C 5, 333???. [192] Chang, G.L., and J. Wu, 1994, Recursive estimation of timevarying origindestination flows from traffic counts in freeway corridors, Transpn. Res. B 28, [193] Chang, M.F., and D. C. Gazis, 1975, Traffic density estimation with consideration of lanechanging, Transpn. Sci. 9, [194] Chapman, S., and T. G. Cowling, 1939, The Mathematical Theory of Nonuniform Gases (Cambridge University, Cambridge, England). [195] Chau, H. F., P. M. Hui, and Y. F. Woo, 1995, Upper bounds for the critical car densities in traffic flow problems, J. Phys. Soc. Jpn. 64, [196] Chau, H. F., and K. Y. Wan, 1999, Phase Diagram Of The BihamMiddletonLevine Traffic Model In Three Dimensions, eprint condmat/
14 [197] Chau, H. F., K. Y. Wan, and K. K. Yan, 1998, An improved upper bound for the critical car density of the twodimensional BihamMiddletonLevine traffic model, Physica A 254, [198] Chauwin, J. F., A. Ajdari, and J. Prost, 1994, Forcefree motion in asymmetric structures: A mechanism without diffusive steps, Europhys. Lett. 27, [199] Chen, Y., 1997, Asymmetric cycling and biased movement of Brownian particles in fluctuating symmetric potentials, Phys. Rev. Lett. 79, [200] Chen, S., H. Chen, D. Martínez, and W. Matthaeus, 1991, Lattice Boltzmann model for simulation of magnetohydrodynamics, Phys. Rev. Lett. 67, [201] Cheybani, S., J. Kertész, and M. Schreckenberg, 2001a, Stochastic boundary conditions in the deterministic NagelSchreckenberg traffic model, Phys. Rev. E 63, [202] Cheybani, S., J. Kertész, and M. Schreckenberg, 2001b, The nondeterministic Nagel Schreckenberg traffic model with open boundary conditions, Phys. Rev. E 63, [203] Choi, M. Y., and H. Y. Lee, 1995, Traffic flow and 1/f fluctuations, Phys. Rev. E 52, [204] Chopard, B., A. Dupuis, and P. Luthi, 1998, A cellular automaton model for urban traffic and its application to the city of Geneva, in Schreckenberg and Wolf (1998), pp [205] Chopard, B., P. O. Luthi, and P. A. Queloz, 1996, Cellular automata model of car traffic in a twodimensional street network, J. Phys. A: Math. Gen. 29, [206] Chow, T.S., 1958, Operational analysis of a trafficdynamics problem, Opns. Res. 6, [207] Chowdhury, D., K. Ghosh, A. Majumdar, S. Sinha, and R. B. Stinchcombe, 1997a, Particlehopping models of vehicular traffic: Distributions of distance headways and distance between jams, Physica A 246, [208] Chowdhury, D., J. Kertész, K. Nagel, L. Santen, and A. Schadschneider, 2000a, Comment on Critical behavior of a traffic flow model, Phys. Rev. E 61, [209] Chowdhury, D., L. Santen, and A. Schadschneider, 1999, Vehicular traffic: A system of interacting particles driven far from equilibrium, Curr. Sci 77, [210] Chowdhury, D., L. Santen, and A. Schadschneider, 2000b, Statistical physics of vehicular traffic and some related systems, Phys. Rep. 329,
15 [211] Chowdhury, D., L. Santen, A. Schadschneider, S. Sinha, and A. Pasupathy, 1999, Spatiotemporal organization of vehicles in a cellular automata model of traffic with slowtostart rule, J. Phys. A: Math. Gen. 32, [212] Chowdhury, D., and A. Schadschneider, 1999, Selforganization of traffic jams in cities: Effects of stochastic dynamics and signal periods, Phys. Rev. E 59, R1311 R1314. [213] Chowdhury, D., D. E. Wolf, M. Schreckenberg, 1997b, Particle hopping models for twolane traffic with two kinds of vehicles, Physica A 235, [214] Chrobok, R., O. Kaumann, J. Wahle, and M. Schreckenberg, 2000, Three categories of traffic data: Historical, current, and predictive, in Proceedings of the 9th IFAC Symposium Control in Transportation Systems, edited by E. Schnieder and U. Becker (IFAC, Braunschweig), pp [215] Chung, K. H., and P. M. Hui, 1994, Traffic flow problems in onedimensional inhomogeneous media, J. Phys. Soc. Jpn. 63, [216] Chung, K. H., P. M. Hui, and G. Q. Gu, 1995, Twodimensional traffic flow problems with faulty traffic lights, Phys. Rev. E 51, [217] Cladis, P. E., and P. PalffyMuhoray, 1995, Eds., SpatioTemporal Patterns in Nonequilibrium Complex Systems (AddisonWesley, Reading, MA). [218] Claus, V., D. Helbing, and H. J. Herrmann, eds., 1999, Proceedings of the Workshop Verkehrsplanung und simulation (Informatik Verbund Stuttgart, University of Stuttgart). [219] Cohen, E. G. D., 1968, The kinetic theory of dense gases, in Fundamental Problems in Statistical Mechanics II, edited by E. G. D. Cohen (Wiley, New York), pp [220] Cohen, E. G. D., 1969, The kinetic theory of moderately dense gases, in Transport Phenomena in Fluids, edited by H. J. M. Hanley (Dekker, New York), pp [221] Cohen, J. E., and P. Horowitz, 1991, Paradoxial behaviour of mechanical and electrical networks, Nature 352, [222] Coleman, J. S., 1964, Introduction to Mathematical Sociology (Free, New York), pp [223] Coleman, J. S., and J. James, 1961, The equilibrium size distribution of freelyforming groups, Sociometry 24, [224] Cornell, S. J., M. R. Swift, and A. J. Bray, 1998, Inelastic collapse of a randomly forced particle, Phys. Rev. Lett. 81, [225] Cremer, M., 1978, A state feedback approach for freeway traffic control, Opns. Res. 15,
16 [226] Cremer, M., 1979, Der Verkehrsfluß auf Schnellstraßen (Springer, Berlin). [227] Cremer, M., and H. Keller, 1983, Dynamic identification of flows from traffic counts of complex intersections, in Hurdle et al. (1983), pp [228] Cremer, M., and J. Ludwig, 1986, A fast simulation model for traffic flow on the basis of Boolean operations, Math. Comp. Simul. 28, [229] Cremer, M., and A. D. May, 1985, An Extended Traffic Model for Freeway Control (Institute of Transportation Studies, University of California, Berkeley), Technical Report UCBITSRR [230] Cremer, M., and A. D. May, 1986, An extended traffic flow model for inner urban freeways (Arbeitsbereich Automatisierungstechnik, Technische Universität Hamburg Harburg). [231] Cremer, M., and F. Meißner, 1993, Traffic prediction and optimization using an efficient macroscopic simulation tool, in Pave (1993), pp [232] Cremer, M., and M. Papageorgiou, 1981, Parameter identification for a traffic flow model, Automatica 17, [233] Crisanti, A., G. Paladin, and A. Vulpiani, 1993, Products of Random Matrices in Statistical Physics (Springer, Berlin). [234] Cross, M. C., and P. C. Hohenberg, 1993, Pattern formation outside of equilibrium, Rev. Mod. Phys. 65, [235] Crowcroft, J., M. Luby, V. Paxson, B. Huberman, and R. M. Lukose, 1998, Traffic jams on the internet, Science 280, [236] Csahók, Z., and T. Vicsek, 1994, Traffic models with disorder, J. Phys. A: Math. Gen. 27, L591 L596. [237] Csahók, Z., and T. Vicsek, 1995, Latticegas model for collective biological motion, Phys. Rev. E 52, [238] Csányi, G., and J. Kertész, 1995, Scaling behaviour in discrete traffic models, J. Phys. A: Math. Gen. 28, L427 L432. [239] Cuesta, J. A., F. C. Martínez, J. M. Molera, and A. Sánchez, 1993, Phase transitions in twodimensional traffic flow models, Phys. Rev. E 48, R4175 R4178. [240] Czirók, A., A. Barabási, and T. Vicsek, 1999a, Collective motion of selfpropelled particles: Kinetic phase transition in one dimension, Phys. Rev. Lett. 82, [241] Czirók, A., H. E. Stanley, and T. Vicsek, 1997, Spontaneously ordered motion of selfpropelled particles, J. Phys. A: Math. Gen 30,
17 [242] Czirók, A., M. Vicsek, and T. Vicsek, 1999b, Collective motion of organisms in three dimensions, Physica A 264, [243] Dab, D., J.P. Boon, and Y.X. Li, 1991, Latticgas automata for coupled reactiondiffusion equations, Phys. Rev. Lett. 66, [244] Dacey, M. P., and A. Norcliffe, 1976, New entropy models in the social sciences: 1. Elementary residentiallocation models, Env. Plan. A 8, [245] Daganzo, C. F., 1975, Probabilistic structure of twolane road traffic, Transpn. Res. 9, [246] Daganzo, C. F., 1981, Estimation of gap acceptance parameters within and across the population from direct roadside observation, Transpn. Res. B 15, [247] Daganzo, C. F., 1993, Ed., Proceedings of 12th International Symposium on the Theory of Traffic Flow and Transportation (Elsevier, Amsterdam). [248] Daganzo, C. F., 1994, The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory, Transpn. Res. B 28, [249] Daganzo, C. F., 1995a, The cell transmission model, Part II: Network traffic, Transpn. Res. B 29, [250] Daganzo, C. F., 1995b, A finite difference approximation of the kinematic wave model of traffic flow, Transpn. Res. B 29, [251] Daganzo, C. F., 1995c, Requiem for secondorder fluid approximations of traffic flow, Transpn. Res. B 29, [252] Daganzo, C. F., 1996, The nature of freeway gridlock and how to prevent it, in Lesort (1996), pp [253] Daganzo, C. F., 1997a, Fundamentals of Transportation and Traffic Operations (PergamonElsevier, Oxford, UK). [254] Daganzo, C. F., 1997b, A continuum theory of traffic dynamics for freeways with special lanes, Transpn. Res. B 31, [255] Daganzo, C. F., 1997c, A simple traffic analysis procedure, (Institute of Transportation Studies, University of California, Berkeley, CA), Working Paper UCBITSWP [256] Daganzo, C. F., 1999a, A behavioral theory of multilane traffic flow. I: Long homogeneous freeway sections (Institute of Transportation Studies, University of California at Berkeley), Research Report UCBITSRR
18 [257] Daganzo, C. F., 1999b, A behavioral theory of multilane traffic flow. II: Merges and the onset of congestion (Institute of Transportation Studies, University of California at Berkeley), Research Report UCBITSRR [258] Daganzo, C. F., M. J. Cassidy, and R. L. Bertini, 1999, Possible explanations of phase transitions in highway traffic, Transpn. Res. A 33, [259] Daganzo, C. F., W.H. Lin, and J. M. Del Castillo, 1997, A simple physical principle for the simulation of freeways with special lanes and priority vehicles, Transpn. Res. B 31, [260] Davis, B., 1990, Reinforced random walks, Probab. Theor. Rel. Fields 84, [261] Davis, D. G., and J. P. Braaksma, 1988, Adjusting for luggageladen pedestrians in airport terminals, Transpn. Res. A 22, [262] Davydov, A. S., 1976, Quantum Mechanics, Chap. 75: SelfConsistent HartreeFock Field (2nd edition, Pergamon, Oxford). [263] DeAngelis, D. L., and L. J. Gross, 1992, Eds., IndividualBased Models and Approaches in Ecology: Populations, Communities, and Ecosystems (Chapman and Hall, New York). [264] del Castillo, J. M., 1996a, Modeling the propagation of traffic flow perturbations with simple mathematics, in Schreckenberg and Wolf (1996), pp [265] del Castillo, J. M., 1996b, A car following model based on the LighthillWhitham theory, in Lesort (1996), pp [266] Deneubourg, J. L., S. Goss, N. Franks, and J. M. Pasteels, 1989, The blind leading the blind: Modeling chemically mediated army ant raid patterns, J. Insect Behav. 2, [267] de Oliveira, S. M., P. M. C. de Oliveira, and D. Stauffer, 1999, Evolution, Money, War, and Computers NonTraditional Applications of Computational Statistical Physics (Teubner, Stuttgart), Chap. 4. [268] Derényi, I., and T. Vicsek, 1995, Cooperative transport of Brownian particles, Phys. Rev. Lett. 75, [269] Derrida, B., E. Domany, and D. Mukamel, 1992,???, J. Stat. Phys. 69, 667???. [270] Derrida, B., and M. R. Evans, 1997, The asymmetric exclusion model: Exact results through a matrix approach, in Nonequilibrium Statistical Mechanics in One Dimension, edited by V. Privman (Cambridge University, Cambridge, U.K.), pp [271] Derrida, B., M. R. Evans, V. Hakim, and V. Pasquier, 1993,???, J. Phys. A: Math. Gen. 26, 1493???. 18
19 [272] Dewdney, A. K., 1987, Diverse personalities search for social equilibrium at a computer party, Sci. Am. 257, [273] Diedrich, G., L. Santen, A. Schadschneider, and J. Zittartz, 2000, Effects of on and offramps in cellular automata models for traffic flow, Int. J. Mod. Phys. C 11, [274] Dijker, T., P. H. L. Bovy, and R. G. M. M. Vermijs, 1998, Car following behavior in different traffic flow regimes, in Bovy (1998), pp [275] Dijkstra, J., J. Jessurun, and H. Timmermans, 2001, A multiagent cellular automata model of pedestrian movement, in Schreckenberg and Sharma (2001), pp [276] Dillon, D. S., and Hall, F. L., 1987, Freeway operations and the cusp catastrophe: An empirical analysis, Transpn. Res. Rec. 1132, [277] Doering, C. R., and J. D. Gibbon, 1995, Applied Analysis of the NavierStokes Equations (Cambridge University, Cambridge, England). [278] Doering, C. R., W. Horsthemke, and J. Riordan, 1994, Nonequilibrium fluctuationinduced transport, Phys. Rev. Lett. 72, [279] Doi, J., 1976, Second quantization representation for classical manyparticle systems, J. Phys. A: Math. Gen. 9, [280] Domany, E., and W. Kinzel, 1984, Equivalence of cellular automata to Ising models and directed percolation, Phys. Rev. Lett. 53, [281] Domb, C., and M. S. Green, , Eds., Phase Transitions and Critical Phenomena (Academic Press, New York), Vols [282] Domb, C., and J. L. Lebowitz, , Eds., Phase Transitions and Critical Phenomena (Academic Press, New York), Vols [283] Domencich, T. A., and D. McFadden, 1975, Urban Travel Demand. A Behavioral Analysis (NorthHolland, Amsterdam), pp [284] Donangelo, R., and K. Sneppen, 2000, Selforganization of value and demand, Physica A 276, [285] Dorogovtsev, S. N., J. F. F. Mendes, and A. M. Samukhin, 2000, WWW and internet models from 1955 till our days and the popularity is attractive principle, eprint condmat/ [286] Dosi, R., C. Freeman, R. Nelson, G. Silverberg, and L. Soete, 1988, Eds., Technical Change and Economic Theory (Pinter, London). [287] Dougherty, M., 1995, A review of neural networks applied to transport, Transpn. Res. C 3,
20 [288] Drager, K. H., G. Løvås, J. Wiklund, H. Soma, D. Duong, A. Violas, and V. Lanèrès, 1992, EVACSIM A comprehensive evacuation simulation tool, in Proceedings of the 1992 Emergency Management and Engineering Conference, edited by K. H. Drager (Society for Computer Simulation, Orlando, Florida), pp [289] Drake, T. S., J. L. Schofer, and A. D. May, Jr., 1967, A statistical analysis of speed density hypotheses, Highw. Res. Rec. 154, [290] Drazin, P. G., and R. S. Johnson, 1989, Solitons: An Introduction (Cambridge University, Cambridge, England). [291] Drazin, P. G., and W. H. Reid, 1981, Hydrodynamic Stability (Cambridge University, Cambridge, England). [292] Drew, D. R., 1965, Deterministic Aspects of Freeway Operation and Control (Texas Transportation Institute), Research Report [293] Du, Y., H. Li, and L. P. Kadanoff, 1995, Breakdown of hydrodynamics in a onedimensional system of inelastic particles, Phys. Rev. Lett. 74, [294] Dufty, J. W., A. Santos, and J. J. Brey, 1996, Practical kinetic model for hard sphere dynamics, Phys. Rev. Lett. 77, [295] Dunkel, J., W. Ebeling, and U. Erdmann, 2001, Coherent motions and clusters in Morse chains with energy supply, (Humboldt University, Berlin), Report No. Sfb5551A [296] Duparcmeur, Y. L., H. Herrmann, and J. P. Troadec, 1995, Spontaneous formation of vortex in a system of self motorised particles, J. Phys. I France 5, [297] Dutkiewicz, J., J. Suda, and J. Okulewicz, 1995, The model of traffic on twolane rural road, in Snorek et al. (1995), pp [298] Ebeling, W., 1991a, Dynamics of competition and valuation in nonphysical systems, in Handbook on Computational Systems Analysis, edited by A. Sydow (Elsevier, Amsterdam). [299] Ebeling, W., 1991b, Stochastic models of competition processes in nonphysical systems, Syst. Anal. Model. Simul. 8, [300] Ebeling, W., U. Erdmann, J. Dunkel, and M. Jenssen, 2000, Nonlinear dynamics and fluctuations of dissipative Toda chains, J. Stat. Phys. 101, [301] Ebeling, W., and M. Jenssen, 1992, Theory and microscopic simulations of activation processes, Physica A 188, [302] Ebeling, W., and M. Jenssen, 1999, Brownian particles with Toda interactions a model of nonlinear molecular excitations, SPIE 3726, 112???. 20
Research Article Effect Analysis of Intermittent Release Measures in Heavy Fog Weather with an Improved CA Model
Discrete Dynamics in ature and Society Volume 213, Article ID 812562, 7 pages http://dx.doi.org/1.1155/213/812562 Research Article Effect Analysis of Intermittent Release Measures in Heavy Fog Weather
More informationArneKesting. Publication List. Journal Articles as First Author { A. Kesting, M. Treiber, D. Helbing: Enhanced Intelligent Driver Model to Access the
ArneKesting Publication List Journal Articles as First Author { A. Kesting, M. Treiber, D. Helbing: Enhanced Intelligent Driver Model to Access the Impact of Driving Strategies on Traffic Capacity Philosophical
More informationSelfOrganization in Nonequilibrium Systems
SelfOrganization in Nonequilibrium Systems From Dissipative Structures to Order through Fluctuations G. Nicolis Universite Libre de Bruxelles Belgium I. Prigogine Universite Libre de Bruxelles Belgium
More informationDecentralized Method for Traffic Monitoring
Decentralized Method for Traffic Monitoring Guillaume Sartoretti 1,2, JeanLuc Falcone 1, Bastien Chopard 1, and Martin Gander 2 1 Computer Science Department 2 Department of Mathematics, University of
More informationSIMULATION OF TRAFFIC DYNAMICS. Rudolf Damrath, Martin Rose, Peter Milbradt. Institute for Computer Science in Civil Engineering
SIMULATION OF TRAFFIC DYNAMICS Bild 2. Rudolf Damrath, Martin Rose, Peter Milbradt Institute for Computer Science in Civil Engineering University Hannover, Germany 1 INTRODUCTION To control and influence
More information%, Treiterer [6 ] Lighthill,, PACC: 0550,0520,6470. Vol. 52,No. 9,September,2003 ν 2003 Chin. Phys. Soc. ACTA PHYSICA SINICA.
52 9 2003 9 100023290Π2003Π52 (09) Π2121206 ACTA PHYSICA SINICA Vol 52 No 9 September 2003 ν 2003 Chin Phys Soc 3 1) 2) 1) 3) 1) 1) ( 200072) 2) ( 250061) 3) ( 530004) (2002 11 19 ;2003 1 8 ) NaSch : (
More informationAuthor: Hamid A.E. AlJameel (Research Institute: Engineering Research Centre)
SPARC 2010 Evaluation of Carfollowing Models Using Field Data Author: Hamid A.E. AlJameel (Research Institute: Engineering Research Centre) Abstract Traffic congestion problems have been recognised as
More informationStatistical Forecasting of HighWay Traffic Jam at a Bottleneck
Metodološki zvezki, Vol. 9, No. 1, 2012, 8193 Statistical Forecasting of HighWay Traffic Jam at a Bottleneck Igor Grabec and Franc Švegl 1 Abstract Maintenance works on highways usually require installation
More informationA CrossSimulation Method for LargeScale Traffic Evacuation with Big Data
A CrossSimulation Method for LargeScale Traffic Evacuation with Big Data Shengcheng Yuan, Yi Liu (&), Gangqiao Wang, and Hui Zhang Department of Engineering Physics, Institute of Public Safety Research,
More informationCROSSCORRELATION BETWEEN STOCK PRICES IN FINANCIAL MARKETS. 1. Introduction
CROSSCORRELATION BETWEEN STOCK PRICES IN FINANCIAL MARKETS R. N. MANTEGNA Istituto Nazionale per la Fisica della Materia, Unità di Palermo and Dipartimento di Energetica ed Applicazioni di Fisica, Università
More informationSimulation of Pedestrian Agent Crowds, with Crisis
Simulation of Pedestrian Agent Crowds, with Crisis Simulation of Pedestrian Agent Crowds, with Crisis M. Lyell, R. Flo*, M. MejiaTellez Intelligent Automation, Inc. mlyell@iai.com *Air Force Research
More informationEffects of node buffer and capacity on network traffic
Chin. Phys. B Vol. 21, No. 9 (212) 9892 Effects of node buffer and capacity on network traffic Ling Xiang( 凌 翔 ) a), Hu MaoBin( 胡 茂 彬 ) b), and Ding JianXun( 丁 建 勋 ) a) a) School of Transportation Engineering,
More informationUse of System Dynamics for modelling customers flows from residential areas to selling centers
Use of System Dynamics for modelling customers flows from residential areas to selling centers ENRICO BRIANO (*) CLAUDIA CABALLINI (*)(**) ROBERTO REVETRIA (*)(**) MAURIZIO SCHENONE (**) ALESSANDRO TESTA
More informationA SOCIAL NETWORK ANALYSIS APPROACH TO ANALYZE ROAD NETWORKS INTRODUCTION
A SOCIAL NETWORK ANALYSIS APPROACH TO ANALYZE ROAD NETWORKS Kyoungjin Park Alper Yilmaz Photogrammetric and Computer Vision Lab Ohio State University park.764@osu.edu yilmaz.15@osu.edu ABSTRACT Depending
More informationFLEXSYS Motionbased Traffic Analysis and Incident Detection
FLEXSYS Motionbased Traffic Analysis and Incident Detection Authors: Lixin Yang and Hichem Sahli, IBBT/VUBETRO Contents.1 Introduction......................................... 1.2 Traffic flow modelling
More informationAvailable online at www.sciencedirect.com. ScienceDirect. Transportation Research Procedia 2 (2014 ) 105 113. Republic
Available online at www.sciencedirect.com ScienceDirect Transportation Research Procedia 2 (214 ) 15 113 The Conference on in Pedestrian and Evacuation Dynamics 214 (PED214) Experimental Study of Phase
More information3. DESCRIPTION OF THE COMPUTER MODEL USED
EVALUATION OF IMPROVEMENTS IN ROAD INFRASTRUCTURE, TRAFFIC OPERATION AND ACCESSIBILITY FOR PEDESTRIANS TO THE FORTALEZA CITY STADIUM, DURING THE FIFA WORLD CUP 2014, USING MICROSIMULATION. Daniel Lustosa
More informationAdaptive Cruise Control: Towards higher traffic flows, at the cost of increased susceptibility to congestion
Adaptive Cruise Control: Towards higher traffic flows, at the cost of increased susceptibility to congestion Kshitij Jerath and Sean N. Brennan The Pennsylvania State University 318, Leonhard Building,
More informationarxiv:nlin/0211010v2 [nlin.ao] 7 May 2003
Evolution and antievolution in a minimal stock market model arxiv:nlin/0211010v2 [nlin.ao] 7 May 2003 R. Rothenstein 1, K. Pawelzik Institut für Theoretische Physik, Universität Bremen, OttoHahnAllee
More informationBABSIM  An objectoriented software framework for microscopic simulation of freeway traffic
BABSIM  An objectoriented software framework for microscopic simulation of freeway traffic Kai Erlemann, RuhrUniversity, 44780 Bochum, Germany (kaie@inf.bi.rub.de) Summary A wide variety of behavioural
More informationCellular automata modeling of pedestrian s crossing dynamics *
Zhang et al. / J Zhejiang Univ CI 004 5(7):835840 835 Journal of Zhejiang University CIENCE IN 0093095 http://www.zju.edu.cn/jzus Email: jzus@zju.edu.cn Cellular automata modeling of pedestrian s crossing
More informationIntroduction to Engineering System Dynamics
CHAPTER 0 Introduction to Engineering System Dynamics 0.1 INTRODUCTION The objective of an engineering analysis of a dynamic system is prediction of its behaviour or performance. Real dynamic systems are
More informationDepartment of Industrial Engineering
Department of Industrial Engineering Master of Engineering Program in Industrial Engineering (International Program) M.Eng. (Industrial Engineering) Plan A Option 2: Total credits required: minimum 39
More informationTraffic flow Theory (Traffic Stream Characteristics)
Traffic flow Theory (Traffic Stream Characteristics) Dr. GangLen Chang Professor and Director of Traffic Safety and Operations Lab. University of MarylandCollege Park Traffic Flow Variables of Interest
More informationDEPARTMENT OF TRANSPORTATION MANAGEMENT
270 COLLEGE OF MANAGEMENT DEPARTMENT OF TRANSPORTATION MANAGEMENT Degrees Offered: B.A., M.S. Chair: Liu, ShihSien ( 劉 士 仙 ) The Department Established in 1986, the Department of Transportation Management
More informationRoads Task Force  Technical Note 10 What is the capacity of the road network for private motorised traffic and how has this changed over time?
Roads Task Force  Technical Note 10 What is the capacity of the road network for private motorised traffic and how has this changed over time? Introduction This paper forms one of a series of thematic
More informationApplied mathematics and mathematical statistics
Applied mathematics and mathematical statistics The graduate school is organised within the Department of Mathematical Sciences.. Deputy head of department: Aila Särkkä Director of Graduate Studies: Marija
More informationEmerT a web based decision support tool. for Traffic Management
19th ITS World Congress, Vienna, Austria, 22/26 October 2012 EU00630 EmerT a web based decision support tool for Traffic Management Laura Bieker 1*, Michael Behrisch 1, Sten Ruppe 1 German Aerospace Center
More informationPHYS 1624 University Physics I. PHYS 2644 University Physics II
PHYS 1624 Physics I An introduction to mechanics, heat, and wave motion. This is a calculus based course for Scientists and Engineers. 4 hours (3 lecture/3 lab) Prerequisites: Credit for MATH 2413 (Calculus
More informationSIMULATIONS OF GRANULAR FLOW: Laboratoire d'accoustique et d'optique de la Matiere Condensee, URA 800, Universite
SIMULATIONS OF GRANULAR FLOW: CRACKS IN A FALLING SANDPILE S. LUDING a, J. DURAN, T. MAZOZI, E. CL EMENT, J. RAJCHENBACH Laboratoire d'accoustique et d'optique de la Matiere Condensee, URA 8, Universite
More informationMASTER OF SCIENCE IN PHYSICS MASTER OF SCIENCES IN PHYSICS (MS PHYS) (LIST OF COURSES BY SEMESTER, THESIS OPTION)
MASTER OF SCIENCE IN PHYSICS Admission Requirements 1. Possession of a BS degree from a reputable institution or, for nonphysics majors, a GPA of 2.5 or better in at least 15 units in the following advanced
More informationMonte Carlo Simulation technique. S. B. Santra Department of Physics Indian Institute of Technology Guwahati
Monte Carlo Simulation technique S. B. Santra Department of Physics Indian Institute of Technology Guwahati What is Monte Carlo (MC)? Introduction Monte Carlo method is a common name for a wide variety
More informationBehavior Analysis in Crowded Environments. XiaogangWang Department of Electronic Engineering The Chinese University of Hong Kong June 25, 2011
Behavior Analysis in Crowded Environments XiaogangWang Department of Electronic Engineering The Chinese University of Hong Kong June 25, 2011 Behavior Analysis in Sparse Scenes ZelnikManor & Irani CVPR
More informationMethod for Traffic Flow Estimation using Ondashboard
Method for Traffic Flow Estimation using Ondashboard Camera Image Kohei Arai Graduate School of Science and Engineering Saga University Saga, Japan Steven Ray Sentinuwo Department of Electrical Engineering
More informationCAPACITY AND LEVELOFSERVICE CONCEPTS
CHAPTER 2 CAPACITY AND LEVELOFSERVICE CONCEPTS CONTENTS I. INTRODUCTION...21 II. CAPACITY...22 III. DEMAND...22 IV. QUALITY AND LEVELS OF SERVICE...22 Service Flow Rates...23 Performance Measures...23
More informationIterated Mutual Observation with Genetic Programming
Iterated Mutual Observation with Genetic Programming Peter Dittrich (), Thomas Kron (2), Christian Kuck (), Wolfgang Banzhaf () () University of Dortmund (2) University of Hagen Department of Computer
More informationHighway Capacity and Quality of Service
A3A10: Committee on Highway Capacity and Quality of Service Secretary: Richard G. Dowling, Dowling Associates Highway Capacity and Quality of Service WAYNE K. KITTELSON, Kittelson & Associates, Inc. This
More informationCOMPLEXITY RISING: FROM HUMAN BEINGS TO HUMAN CIVILIZATION, A COMPLEXITY PROFILE. Y. BarYam New England Complex Systems Institute, Cambridge, MA, USA
COMPLEXITY RISING: FROM HUMAN BEINGS TO HUMAN CIVILIZATION, A COMPLEXITY PROFILE Y. BarYam New England Complex Systems Institute, Cambridge, MA, USA Keywords: complexity, scale, social systems, hierarchical
More informationA new carfollowing model with consideration of the traffic interruption probability
Vol 18 No 3, March 2009 c 2009 Chin. Phys. Soc. 16741056/2009/18(03)/097509 Chinese Physics B and IOP Publishing Ltd A new carfollowing model with consideration of the traffic interruption probability
More informationClaudio J. Tessone. Pau Amengual. Maxi San Miguel. Raúl Toral. Horacio Wio. Eur. Phys. J. B 39, 535 (2004) http://www.imedea.uib.
Horacio Wio Raúl Toral Eur. Phys. J. B 39, 535 (2004) Claudio J. Tessone Pau Amengual Maxi San Miguel http://www.imedea.uib.es/physdept Models of Consensus vs. Polarization, or Segregation: Voter model,
More informationP. V A D A S Z J O U R N A L P U B L IC A T IO N S ( 1 9 8 32 0 0 7 )
P. V A D A S Z J O U R N A L P U B L IC A T IO N S ( 1 9 8 32 0 0 7 ) 1. VADASZ, P., WEINER, D., ZVIRIN, Y.: A Halothermal Simulation of the Dead Sea for Application to Solar Energy Projects, ASME Journal
More informationEffect of Adaptive Cruise Control Vehicles on Phase Transition in a Mixture with Manual Vehicles
Effect of Adaptive Cruise Control Vehicles on Phase Transition in a Mixture with Manual Vehicles Rui Jiang 1, MaoBin Hu 1,BinJia 2, Ruili Wang 3, and QingSong Wu 1 1 School of Engineering Science, University
More informationTraffic Jams, Gliders, and Bands in the Quest for Collective Motion of SelfPropelled Particles
Traffic Jams, Gliders, and Bands in the Quest for Collective Motion of SelfPropelled Particles Fernando Peruani, Tobias Klauss, Andreas Deutsch, Anja VossBoehme To cite this version: Fernando Peruani,
More informationOVERVIEW OF MOTORWAY NETWORK TRAFFIC CONTROL STRATEGIES
OVERVIEW OF MOTORWAY NETWORK TRAFFIC CONTROL STRATEGIES Apostolos Kotsialos, and Markos Papageorgiou Dynamic Systems and Simulation Laboratory Technical University of Crete, Greece Email: appie@dssl.tuc.gr,
More informationScaling in an Agent Based Model of an artificial stock market. Zhenji Lu
Scaling in an Agent Based Model of an artificial stock market Zhenji Lu Erasmus Mundus (M) project report (ECTS) Department of Physics University of Gothenburg Scaling in an Agent Based Model of an artificial
More informationDISTANCE DEGREE PROGRAM CURRICULUM NOTE:
Bachelor of Science in Electrical Engineering DISTANCE DEGREE PROGRAM CURRICULUM NOTE: Some Courses May Not Be Offered At A Distance Every Semester. Chem 121C General Chemistry I 3 Credits Online Fall
More informationLane Changes and Close Following: Troublesome Tollbooth Traffic
Lane Changes and Close Following 251 Lane Changes and Close Following: Troublesome Tollbooth Traffic Andrew Spann Daniel Kane Dan Gulotta Massachusetts Institute of Technology Cambridge, MA Advisor: Martin
More informationIndiana's Academic Standards 2010 ICP Indiana's Academic Standards 2016 ICP. map) that describe the relationship acceleration, velocity and distance.
.1.1 Measure the motion of objects to understand.1.1 Develop graphical, the relationships among distance, velocity and mathematical, and pictorial acceleration. Develop deeper understanding through representations
More informationNDSU Department of Physics. Graduate Student Handbook
NDSU Department of Physics Graduate Student Handbook Department of Physics North Dakota State University Fargo, ND 581086050 History Draft: August 24, 2014 Table of Contents 1. Contact 2 2. Graduate Program
More informationUniversité Lille 1 Sciences et Technologies, Lille, France Laboratoire de Physique des Lasers, Atomes et Molécules Équipe Chaos Quantique
Université Lille 1 Sciences et Technologies, Lille, France Laboratoire de Physique des Lasers, Atomes et Molécules Équipe Chaos Quantique 16 years of experiments on the atomic kicked rotor! Chaos, disorder
More informationAn Introduction to Superprocesses
Olav Kallenberg, March 2007: An Introduction to Superprocesses The Mathematics of Life 1. Branching Brownian motion 2. Diffusion approximation 3. Persistence extinction 4. Fractal properties 5. Family
More informationMaterials: Droz, Chopard (book) FHP paper (print)
Materials: Droz, Chopard (book) FHP paper (print) Computer simulations of fluid dynamics Lecture 2: HPP, FHP Models Maciej Matyka Announcement Today's class: 12:15, 518 ***be there*** FHP model (cellular
More informationSimulating Traffic for Incident Management and ITS Investment Decisions
1998 TRANSPORTATION CONFERENCE PROCEEDINGS 7 Simulating Traffic for Incident Management and ITS Investment Decisions MICHAEL D. ANDERSON AND REGINALD R. SOULEYRETTE UTPStype models were designed to adequately
More informationNUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES
Vol. XX 2012 No. 4 28 34 J. ŠIMIČEK O. HUBOVÁ NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES Jozef ŠIMIČEK email: jozef.simicek@stuba.sk Research field: Statics and Dynamics Fluids mechanics
More informationMathematics Discrete Mathematics (F06S07), Finite Mathematics (F00S01, S07), Intermediate Algebra
Curriculum Vitae J.F. (Jim) Nystrom, Ph.D. Visiting Assistant Professor School of Natural Sciences and Mathematics Shepherd University Shepherdstown, WV 254433210 Research Interest Areas Algorithm design
More informationRealistic Cellular Automaton Model for Synchronized TwoLane Traffic
Realistic Cellular Automaton Model for Synchronized TwoLane Traffic Simulation, Validation, and Applications Vom Fachbereich Physik der Universität DuisburgEssen zur Erlangung des akademischen Grades
More informationDetailed simulation of mass spectra for quadrupole mass spectrometer systems
Detailed simulation of mass spectra for quadrupole mass spectrometer systems J. R. Gibson, a) S. Taylor, and J. H. Leck Department of Electrical Engineering and Electronics, The University of Liverpool,
More informationA signature of power law network dynamics
Classification: BIOLOGICAL SCIENCES: Computational Biology A signature of power law network dynamics Ashish Bhan* and Animesh Ray* Center for Network Studies Keck Graduate Institute 535 Watson Drive Claremont,
More informationCapacity funnel explained using the humankinetic traffic flow model
Capacity funnel explained using the humankinetic traffic flow model Chris Tampère 1,3, Serge P. Hoogendoorn 2, and Bart van Arem 1 1 TNO Inro PO box 6041 2600 JA Delft The Netherlands email: b.vanarem@inro.tno.nl
More informationAccidents in platoons of vehicles
Accidents in platoons of vehicles Cécile AppertRolland 1 and Ludger Santen 2 1 Université de ParisSud, Laboratoire de Physique Théorique, Bâtiment 210, F91405 Orsay Cedex, France  appert@th.upsud.fr
More information9700 South Cass Avenue, Lemont, IL 60439 URL: www.mcs.anl.gov/ fulin
Fu Lin Contact information Education Work experience Research interests Mathematics and Computer Science Division Phone: (630) 2520973 Argonne National Laboratory Email: fulin@mcs.anl.gov 9700 South
More informationThe myth of trafficresponsive. control: why common sense does not always make sense DISCUSSION PAPER SERIES DPS15.14
DISCUSSION PAPER SERIES DPS15.14 JULY 2015 The myth of trafficresponsive signal control: why common sense does not always make sense Ruth EVERS & Stef PROOST Energy, Transport and Environment Faculty of
More informationBoltzmann Distribution Law
Boltzmann Distribution Law The motion of molecules is extremely chaotic Any individual molecule is colliding with others at an enormous rate Typically at a rate of a billion times per second We introduce
More informationA Control Method of Traffic Flow Based on Region Coordination
3rd International Conference on Management, Education, Information and Control (MEICI 2015) A Control Method of Traffic Flow Based on Region Coordination Wuxiong Xu 1, a,*, Dong Zhong 1, b, Siqing Wu 1,
More informationFinite Element Modules for Enhancing Undergraduate Transport Courses: Application to Fuel Cell Fundamentals
Finite Element Modules for Enhancing Undergraduate Transport Courses: Application to Fuel Cell Fundamentals Originally published in 2007 American Society for Engineering Education Conference Proceedings
More informationRivista ISI 2007 SCOPUS SCIMAGOJR Mathscinet Zentralblatt Econlit
Rivista ISI 2007 SCOPUS SCIMAGOJR Mathscinet Zentralblatt Econlit Advances in Applied Mathematics 0,718 NO 0,061 SI SI NO Advances in Applied Probability 0,991 SI 0,069 SI SI NO Advances in Difference
More informationIn: D. E. Wolf, P. Grassberger (Eds.) Friction, Arching, Contact Dynamics World Scientific (Singapore, 1997) p
In: D. E. Wolf, P. Grassberger (Eds.) Friction, Arching, Contact Dynamics World Scientific (Singapore, 997) p. 265273 Force Distribution and Comminution in Ball Mills Volkhard Buchholtz and Thorsten Pöschel
More informationFluctuations in airport arrival and departure traffic: A network analysis
Fluctuations in airport arrival and departure traffic: A network analysis Li ShanMei( 李 善 梅 ) a), Xu XiaoHao( 徐 肖 豪 ) b), and Meng LingHang( 孟 令 航 ) a) a) School of Computer Science and Technology,
More informationMANAGING QUEUE STABILITY USING ART2 IN ACTIVE QUEUE MANAGEMENT FOR CONGESTION CONTROL
MANAGING QUEUE STABILITY USING ART2 IN ACTIVE QUEUE MANAGEMENT FOR CONGESTION CONTROL G. Maria Priscilla 1 and C. P. Sumathi 2 1 S.N.R. Sons College (Autonomous), Coimbatore, India 2 SDNB Vaishnav College
More informationAssessment Plan for Learning Outcomes for BA/BS in Physics
Department of Physics and Astronomy Goals and Learning Outcomes 1. Students know basic physics principles [BS, BA, MS] 1.1 Students can demonstrate an understanding of Newton s laws 1.2 Students can demonstrate
More informationFluid Dynamics and the NavierStokes Equation
Fluid Dynamics and the NavierStokes Equation CMSC498A: Spring 12 Semester By: Steven Dobek 5/17/2012 Introduction I began this project through a desire to simulate smoke and fire through the use of programming
More informationA Review of Traffic Simulation Software
Res. Lett. Inf. Math. Sci., 2009, Vol. 13, pp. 35 54 Available online at http://iims.massey.ac.nz/research/letters/ 35 A Review of Traffic Simulation Software G. Kotusevski and K.A. Hawick Computer Science
More informationSimulation System for Optimizing Urban Traffic Network Based on Multiscale Fusion
, pp.227236 http://dx.doi.org/10.14257/ijsh.2014.8.2.23 Simulation System for Optimizing Urban Traffic Network Based on Multiscale Fusion Xiuhe Wang Information management center of Institute of Disaster
More informationBENEFIT OF DYNAMIC USE CASES TO EARLY DESIGN A DRIVING ASSISTANCE SYSTEM FOR PEDESTRIAN/TRUCK COLLISION AVOIDANCE
BENEFIT OF DYNAMIC USE CASES TO EARLY DESIGN A DRIVING ASSISTANCE SYSTEM FOR PEDESTRIAN/TRUCK COLLISION AVOIDANCE Hélène Tattegrain, Arnaud Bonnard, Benoit Mathern, LESCOT, INRETS France Paper Number 090489
More informationGreed, fear and stock market dynamics
Physica A 343 (2004) 635 642 www.elsevier.com/locate/physa Greed, fear and stock market dynamics Frank H. Westerhoff Department of Economics, University of Osnabrueck, Rolandstrasse 8, 49069 Osnabrueck,
More informationBoarding Efficiency. How to enter an aircraft the most efficient way? Dr. Michael Schultz
DLR.de/FL Chart 1 Boarding Efficiency How to enter an aircraft the most efficient way? Dr. Michael Schultz Institute of Flight Guidance, Department of Air Transportation German Aerospace Center (DLR e.v.)
More informationNew Approach to Analysis of the Switching Current Data in Ferroelectric Thin Films
Ferroelectrics, 291: 27 35, 2003 Copyright c Taylor & Francis Inc. ISSN: 00150193 print / 15635112 online DOI: 10.1080/00150190390222510 New Approach to Analysis of the Switching Current Data in Ferroelectric
More informationFire Simulations in Civil Engineering
Contact: Lukas Arnold l.arnold@fz juelich.de Nb: I had to remove slides containing input from our industrial partners. Sorry. Fire Simulations in Civil Engineering 07.05.2013 Lukas Arnold Fire Simulations
More informationarxiv:condmat/9612183v1 [condmat.statmech] 19 Dec 1996
Cluster Algorithm for hard spheres and related systems arxiv:condmat/9612183v1 [condmat.statmech] 19 Dec 1996 Christophe Dress and Werner Krauth, CNRSLaboratoire de Physique Théorique de l ENS 24,
More information20142015 The Master s Degree with Thesis Course Descriptions in Industrial Engineering
20142015 The Master s Degree with Thesis Course Descriptions in Industrial Engineering Compulsory Courses IENG540 Optimization Models and Algorithms In the course important deterministic optimization
More informationChemical Engineering  CHEN
Auburn University 1 Chemical Engineering  CHEN Courses CHEN 2100 PRINCIPLES OF CHEMICAL ENGINEERING (4) LEC. 3. LAB. 3. Pr. (CHEM 1110 or CHEM 1117 or CHEM 1030) and (MATH 1610 or MATH 1613 or MATH 1617
More informationArtificial Intelligence and Asymmetric Information Theory. Tshilidzi Marwala and Evan Hurwitz. tmarwala@gmail.com, hurwitze@gmail.
Artificial Intelligence and Asymmetric Information Theory Tshilidzi Marwala and Evan Hurwitz tmarwala@gmail.com, hurwitze@gmail.com University of Johannesburg Abstract When human agents come together to
More informationA numerical solution of Nagumo telegraph equation by Adomian decomposition method
Mathematics Scientific Journal Vol. 6, No. 2, S. N. 13, (2011), 7381 A numerical solution of Nagumo telegraph equation by Adomian decomposition method H. Rouhparvar a,1 a Department of Mathematics, Islamic
More informationInstability, dispersion management, and pattern formation in the superfluid flow of a BEC in a cylindrical waveguide
Instability, dispersion management, and pattern formation in the superfluid flow of a BEC in a cylindrical waveguide Michele Modugno LENS & Dipartimento di Fisica, Università di Firenze, Italy Workshop
More informationUsing Big Data and Efficient Methods to Capture Stochasticity for Calibration of Macroscopic Traffic Simulation Models
CIVIL AND ENVIRONMENTAL ENGINEERING Using Big Data and Efficient Methods to Capture Stochasticity for Calibration of Macroscopic Traffic Simulation Models Sandeep Mudigonda 1, Kaan Ozbay 2 1 Department
More informationarxiv:physics/0607202v2 [physics.compph] 9 Nov 2006
Stock price fluctuations and the mimetic behaviors of traders Junichi Maskawa Department of Management Information, Fukuyama Heisei University, Fukuyama, Hiroshima 7200001, Japan (Dated: February 2,
More informationCFD Application on Food Industry; Energy Saving on the Bread Oven
MiddleEast Journal of Scientific Research 13 (8): 10951100, 2013 ISSN 19909233 IDOSI Publications, 2013 DOI: 10.5829/idosi.mejsr.2013.13.8.548 CFD Application on Food Industry; Energy Saving on the
More informationComplex dynamics made simple: colloidal dynamics
Complex dynamics made simple: colloidal dynamics Chemnitz, June 2010 Complex dynamics made simple: colloidal dynamics Chemnitz, June 2010 Terminology Quench: sudden change of external parameter, e.g.
More informationA. Ricci, E. Giuri. Materials and Microsystems Laboratory
Presented at the COMSOL Conference 2009 Milan FSI Analysis of Microcantilevers Vibrating in Fluid Environment Materials and Microsystems Laboratory Politecnico di Torino Outline Brief Presentation of Materials
More informationREACHING SUSTAINABLE SETTLEMENT AND BUILDING STRUCTURES AS A PROBLEM OF CHOOSING INTELLIGENT INDICATORS
REACHING SUSTAINABLE SETTLEMENT AND BUILDING STRUCTURES AS A PROBLEM OF CHOOSING INTELLIGENT INDICATORS Thomas MACOUN Institute of Transportation, Vienna University of Technology, Austria, thomas.macoun@tuwien.ac.at
More informationTransport and collective dynamics in suspensions of swimming microorganisms
Transport and collective dynamics in suspensions of swimming microorganisms M. D. Graham Patrick Underhill, Juan HernandezOrtiz, Chris Stoltz Dept. of Chemical and Biological Engineering Univ. of WisconsinMadison
More informationNumerical Model for the Study of the Velocity Dependence Of the Ionisation Growth in Gas Discharge Plasma
Journal of Basrah Researches ((Sciences)) Volume 37.Number 5.A ((2011)) Available online at: www.basrascience journal.org ISSN 1817 2695 Numerical Model for the Study of the Velocity Dependence Of the
More informationGraduate Certificate Program in Energy Conversion & Transport Offered by the Department of Mechanical and Aerospace Engineering
Graduate Certificate Program in Energy Conversion & Transport Offered by the Department of Mechanical and Aerospace Engineering Intended Audience: Main Campus Students Distance (online students) Both Purpose:
More informationIoannis Kaparias MEng PhD DIC ACGI
Ioannis Kaparias MEng PhD DIC ACGI List of publications 1. Theses/Dissertations 1.2 Kaparias, I. (2008), Reliable dynamic invehicle navigation, PhD thesis, Imperial College London, London, UK 1.1 Kaparias,
More informationPareto Set, Fairness, and Nash Equilibrium: A Case Study on Load Balancing
Pareto Set, Fairness, and Nash Equilibrium: A Case Study on Load Balancing Atsushi Inoie, Hisao Kameda, Corinne Touati Graduate School of Systems and Information Engineering University of Tsukuba, Tsukuba
More informationESSENTIAL COMPUTATIONAL FLUID DYNAMICS
ESSENTIAL COMPUTATIONAL FLUID DYNAMICS Oleg Zikanov WILEY JOHN WILEY & SONS, INC. CONTENTS PREFACE xv 1 What Is CFD? 1 1.1. Introduction / 1 1.2. Brief History of CFD / 4 1.3. Outline of the Book / 6 References
More informationUniversité Lille 1 Sciences et Technologies, Lille, France Lille Laboratoire de Physique des Lasers, Atomes et Molécules Équipe Chaos Quantique
Université Lille 1 Sciences et Technologies, Lille, France Lille Laboratoire de Physique des Lasers, Atomes et Molécules Équipe Chaos Quantique FRISNO 11 Aussois 1/4/011 Quantum simulators: The Anderson
More informationTraffic flow theory and modelling
7 Traffic flow theory and modelling Serge Hoogendoorn and Victor Knoop 7.1 Introduction When do traffic jams emerge? Can we predict, given certain demand levels, when queuing will occur, how long the queues
More informationWhy Traffic Management Works Prof. dr. Serge Hoogendoorn Chair of Traffic Operations and Management, Delft University of Technology
Why Traffic Management Works Prof. dr. Serge Hoogendoorn Chair of Traffic Operations and Management, Delft University of Technology Physics of a Traffic Jam Traffic jam occurs when demand exceeds road
More informationHANDBOOK FOR THE APPLIED AND COMPUTATIONAL MATHEMATICS OPTION. Department of Mathematics Virginia Polytechnic Institute & State University
HANDBOOK FOR THE APPLIED AND COMPUTATIONAL MATHEMATICS OPTION Department of Mathematics Virginia Polytechnic Institute & State University Revised June 2013 2 THE APPLIED AND COMPUTATIONAL MATHEMATICS OPTION
More information