Towards Sustainable Dynamic Traffic Management Beeld plaatsen ter grootte van dit kader TRB, Washington January 2013 Luc Wismans
Introduction 2 Introduction Optimization of a road transport network Need for optimization multiple objectives Accessibility external effects / sustainability DTM measures available Optimization expanding Local network Optimization at strategic level Use of DTM measures to affect supply
Introduction 3 DTM strategies
Introduction 4 Externalities as objectives Dynamic Traffic Management Traditionally focus on: Local level Efficiency Predefined strategies Route choice effects rarely addressed Identified as measure for externalities Local: level of service Network: influencing route choice Ideally selection DTM strategy Network level Several network performance measures All possible strategies Behavioral effects Question Suitable approach Insights in interaction between objectives Insights in effective strategies
Approach and challenges 5 Approach Multi-objective Incorporation of external effects Road safety Air quality Climate Noise Dynamic Traffic Management As measure Focus on supply and DTM strategies Solution approach Bi-level optimization problem Upper level: joined road authorities Lower level: road users Using DTA model for lower level Pareto optimal set provides information for decision making process Heuristics needed, computational expensive
Modeling Framework and solution approach 6 General Framework ARTEMIS emission model RMV or AR-INTERIM-CM noise model Accident risk based model Evolutionary Multi Objective Algorithms NSGAII SPEA2+ RSM accelerated Minimization externalities congestion, climate, noise, air quality and traffic safety Traffic dynamics Flows, speeds DTM measures Dynamic User Equilibrium problem OmniTRANS - Streamline DTA model RT version using controls DTM measures Supply link characteristics
Decision support 7 Pruning and ranking Information contained by Pareto optimal set Interaction objectives Lower and upper bound Trade-offs and sensitivity Mapping solution and objective space Pruning Convex hull filter PIT filter Clustering filter Ranking Weighted Sum Method Weighted Product Method Analytical Hierarchy Process Weighted Average Rank ELECTRE III Cost Benefit Analysis Thresholds Pruning method Weighting factors Ranking method Pareto optimal set General analysis Analysis main choices Choosing best solutions Relations Upper and lower bounds Optimal designs per objective Trade-offs Reduced Pareto optimal set Analysis consequences Best compromise solutions Additional criteria Analysis best solutions Best compromise solution
Application 8 Case Almelo 5 6 Highway Ringroad Rural road Radial road Urban road Inner ringroad 4 3 1 2 9 measures 6 time intervals 6.36x10 45 possible solutions 15 minutes to solve DUE 100 iterations 250 solutions archive size 25250 assessed solutions Traffic signal Variable Message Sign
Outcome optimization 9 Pareto optimal sets
Findings 10 Some findings AR-INTERIM-CM for noise and ARTEMIS for emissions are suitable externality models for DTA Gap in knowledge on modeling traffic safety Using RSM methods can accelerate search considerably Solving MO NDP provides a lot of information Not one single solution optimal for more than one objective Efficiency aligned with emissions substances but opposed to noise and traffic safety General strategy complex to determine, but metering of traffic can be an interesting strategy for many externalities
Publications 11 Journal publications Wismans, L. J. J., E.C. van Berkum & M. C. J. Bliemer (2012). Optimization of externalities as objectives for dynamic traffic management, choices necessary. Submitted for EJTIR (under review). Possel, B., Wismans, L.J.J., E.C. Van Berkum & M.C.J. Bliemer (2012). The multi-objective network design problem using minimizing externalities as objectives: comparison of a genetic algorithm and simulated annealing framework. Submitted for the Journal of advanced transportation (under review). Brands, T., L.J.J. Wismans & E.C. van Berkum (2012). Application of pruning techniques on a Pareto front from a practical multi-objective optimization problem in traffic engineering. Submitted for Transportation Research A (under review). Wismans, L.J.J., T. Brands, E.C. Van Berkum & M.C.J. Bliemer (2012). Pruning and ranking the Pareto optimal set, application for the dynamic multi-objective network design problem. Journal of advanced transportation Article first published online: 2 OCT 2012, DOI: 10.1002/atr.1212 Wismans, L. J. J., E.C. van Berkum & M. C. J. Bliemer (2012). Accelerating solving the dynamic multiobjective network design problem using response surface methods. Journal of ITS (in press). Wismans, L. J. J., E.C. van Berkum & M. C. J. Bliemer (2012). Effects of optimizing externalities using cooperating DTM measures on network level. Journal of ITS, accepted author version posted online: 01 Aug 2012, DOI:10.1080/15472450.2012.716639. Wismans, L. J. J., E.C. van Berkum & M. C. J. Bliemer (2011). Comparison of multiobjective evolutionary algorithms for optimization of externalities using dynamic traffic management Measures. Transportation Research Record: Journal of the Transportation Research Board, No. 2263, pp. 163-173. Wismans, L. J. J., E.C. van Berkum & M. C. J. Bliemer (2011). Modelling Externalities using Dynamic Traffic Assignment Models: a review. Transport Reviews, Volume 31, Issue 4, July 2011, pages 521-545 (ISSN 0144-1647). DOI:10.1080/01441647.2010.544856. Wismans, L. J. J., E.C. van Berkum & M.C.J. Bliemer (2010). Wisselwerking tussen bereikbaarheid en externe effecten bij de optimalisatie van DVM maatregelen in verkeersnetwerken [Interaction between accessibility and external effects when optimizing DTM measures on network level (in Dutch)]. Tijdschrift Vervoerswetenschap, (ISSN 0040-7623), 46(2), 44-54
Publications 12 Books or bookchapters Wismans, L.J.J. (2012). Towards sustainable dynamic traffic management. PhD thesis, ISBN: 978-90- 5584-155-4, University of Twente, Enschede. Wismans, L. J. J., E.C. van Berkum & M. C. J. Bliemer (2011). Dynamic Traffic Management Measures to Optimize Air Quality, Climate, Noise, Traffic Safety and Congestion: Effects of a Single Objective Optimization. Bookchapter (ed. J.A.EE. van Nunen, P. Huijbregts and P. Rietveld) Transitions towards sustainable mobility, chapter 16, Part 4, pp. 297-313, DOI: 10.1007/978-3-642-21192-8_16 (ISBN 978-3-642-21191-1, e-isbn 978-3-642-21192-8), Springer, Heidelberg, Dordrecht London New York. E.C. van Berkum & L.J.J. Wismans (2000). Network impact of dynamic traffic management measures. Bookchapter (ed. M.F.A.M. van Maarseveen) The African touch of transportation engineering & Management, Part 2: Road traffic information and control, pp. 111-120, (ISBN 90-365-1474-6), Civil Engineering, University of Twente, Enschede, The Netherlands.
Publications 13 Peer reviewed conference proceedings Wismans, L.J.J., R.M.M. van den Brink, L.J.N Brederode, K.J. Zantema & E.C. van Berkum (2013). Comparison of estimation of emissions based on static and dynamic traffic assignment. In proceedings 92th Annual Meeting of the Transportation Research Board, January 2013, Washington, D.C., USA. Bliemer, M, L. Brederode, L. Wismans & E.S Smits (2012). Quasi-dynamic traffic assignment: static traffic assignment with queueing and spillback. In proceedings 91th Annual Meeting of the Transportation Research Board, January 22-26, Washington, D.C., USA. Wismans, L. J. J., E.C. van Berkum & M. C. J. Bliemer (2011). Accelerating solving the dynamic multiobjective network design problem using response surface methods. In proceedings Models and technologies for intelligent transportation systems conference (on CD-ROM), June 22-24, Leuven, Belgium. Wismans, L. J. J., E.C. van Berkum & M. C. J. Bliemer (2011). Comparison of multiobjective evolutionary algorithms for optimization of externalities using dynamic traffic management Measures. In proceedings 90th Annual Meeting of the Transportation Research Board, January 23-27, Washington, D.C., USA. Wismans, L. J. J., E.C. van Berkum & M. C. J. Bliemer (2010). Optimization of externalities using DTM measures. A Pareto optimal multi objective optimization using the evolutionary algorithm SPEA2+. In T.P. Allkim, B. van Arem & T. Arentze e.a. (Eds.), 11th TRAIL Congress Connecting People - Integrating Expertise. (on CD-ROM). Delft: TRAIL (ISBN 978-90-5584-139-4). Wismans, L. J. J., E.C. van Berkum & M. C. J. Bliemer (2010). Multi-objective network design problem: minimizing externalities using dynamic traffic management measures. In M. Bierlaire & C. Osorio (Eds.), Extended abstracts. Seventh triennial symposium on transportation analysis. Tristan Conference, June 2010, Tromso, Norway. (CD-rom). (pp. 808-811). Wismans, L.J.J., E.C. van Berkum & M.C.J. Bliemer (2009) Multi-objective optimization of traffic systems using dynamic traffic management measures. In: G. Fusco (ed.) Models and technologies for intelligent transportation systems, proceedings of the international conference Models and technologies for intelligent transportation systems, Rome, Italy, pp. 29-34 (ISBN 978-88-548-3025-7). Wismans, L. J. J. & E.C. van Berkum (2008). Multi-objective optimization of traffic systems. Modelling external effects. In proceedings 10th TRAIL Congress TRAIL in perspective, October 14-15, Rotterdam, the Netherlands, (on CD-ROM, ISBN: 978-90-5584-107-3).
Thank you for your attention Luc Wismans Goudappel Coffeng / University of Twente E: lwismans@goudappel.nl E: l.j.j.wismans@ctw.utwente.nl T: +31570666222 M: +31622232508 Beeld plaatsen ter grootte van dit kader TRB 2013 Luc Wismans