PRIORITY SCHEDULING OF URBAN REHABILITATION STREETS TO MINIMIZE CONGESTION, DELAYS, AND ACCIDENTS
|
|
- Sheena Berry
- 8 years ago
- Views:
Transcription
1 PRIORITY SCHEDULING OF URBAN REHABILITATION STREETS TO MINIMIZE CONGESTION, DELAYS, AND ACCIDENTS ABSTRACT Wesley C. Zech 1, and Satish Mohan 2 This paper describes the framework of a priority scheduling algorithm that minimizes traffic congestion, travel delays, and accidents that occur during the rehabilitation of urban streets. The process utilizes: (i) GIS technology for storing and visualizing the necessary data of streets, and for applying traffic assignment, (ii) previous research on the costs of congestion, travel delays, and accident rates, and (iii) utility theory for combining the values of the qualitative and quantitative attributes associated with road rehabilitation. The priority scheduling framework, developed in the research, has been applied to an example town with a population of 116,000, in which 10 street links were selected for repaving in 3 time phases, each of two months, during one construction season. By comparing the multi-attribute utilities of the three attributes using the proposed priority schedule, against the average multi-attribute utilities of 10 random time-schedules of the 10 streets (standard practice), the proposed construction scheduling algorithm yields a saving of 13 veh-hrs/hr in network travel time, $127/hr in the cost of comfort and convenience, and 11 accidents per year. Further research is required for coding the proposed algorithm into an expert system that practitioners can easily learn to use and draw priority schedules for their road rehabilitation programs. KEY WORDS GIS, Highway Rehabilitation, Multiple Objective Analysis, Utility Theory 1. INTRODUCTION The U.S. urban and suburban street infrastructure has experienced very heavy traffic growth by both passenger cars and heavy trucks over the past 20 years. This situation has necessitated more frequent pavement rehabilitation, and geometric improvements along with regular maintenance activity. This increase in street rehabilitation has resulted in increasing traffic congestion, traffic delays, and accidents. A potential solution, suggested in this paper, lies in priority time scheduling of streets selected for rehabilitation in a construction season, such that the overall traffic congestion, travel delays, and accidents are minimized. Usually, a transportation agency such as a city, selects several streets to be rehabilitated in a construction season, or in a budget year. For example, the Town of 1 Assistant Professor., Department of Civil Engineering., Auburn University, 233 Harbert Engineering Center, Auburn University, AL , Phone: 334/ , Fax: 334/ , zechwes@eng.auburn.edu 2 Associate Professor, Dept. of Civil, Structural, and Environmental Engineering, SUNY at Buffalo, 223 Ketter Hall, Buffalo, NY 14260, Phone: 716/ x 2412, Fax: 716/ , smohan@eng.buffalo.edu
2 Amherst, located in Western New York, during their construction season of six months, selected 10 streets for repaving in The working season was divided into 3 phases, each phase having a duration of 2 months. According to their plan, 3 of the streets were to be completed in the first 2 months - Phase I, another 3 were to be completed in the next 2 months - Phase II, and the remaining 4 were to be repaved in Phase III. Currently, transportation agencies would select any three of the ten streets in Phase I, then any three of the seven streets in Phase II. As will be seen in later sections, the congestion levels, travel times, and accident rates are dependent upon the order in which the streets are selected for rehabilitation. The computations conducted later in this paper show that the network wide costs of comfort and convenience can range from $9,000/hr to $12,000/hr, the total network travel time can range from 5,800 veh-hrs/hr to 6,000 veh-hrs/hr, and accident rates can vary from 1600 accidents/yr to 1800 accidents/yr. This paper has suggested a methodology which will always select streets that result in the minimum levels of congestion, travel delays, and accidents, on a town s network. Since the three attributes are measured in different units, they can not be added to compute a combined effect, using a simple mathematical formulation. However, if all of the three attributes can be translated into one common unit, they can be added together. A decision process, that uses Utility Theory, translates any subjective or numerical attribute into a zero to one number called utility, and has been used in this paper. The priority scheduling algorithm is illustrated in Figure GIS SOFTWARE: TRANSCAD TM APPLICATION 2.1 Geographic File and Network Data TransCAD TM, a GIS software for Transportation (GIS-T), was utilized in this research to import the town s street network and for analyzing traffic assignments on the entire network when a street is disabled. The Town of Amherst roadway system, located in western New York was used as an example. The town s geographic file and all network data were obtained from the Greater Buffalo Niagara Regional Transportation Council (GBNRTC). The example network, when applied in TransCAD TM, consisted of 155 links (streets), 109 nodes (intersections), 49 traffic analysis zones (TAZs), and 49 centroids. The geometric characteristic data for the network consisted of: (i) the roadway length, (ii) number of lanes, (iii) pavement width, (iv) median type, (v) pavement type, (vi) link speed limit, (vii) link capacity, (viii) link volumes, (ix) roadway classification, (x) location, (xi) route description, and (xii) connecting nodes. The attributes required to run the traffic assignment procedure with TransCAD TM are: (i) a representative origin-destination (O-D) matrix for the network, (ii) link free-flow times, and (iii) link capacities. TransCAD TM s O-D matrix estimation tool was utilized in order to develop a realistic network O-D matrix which was created from average daily traffic. 2.2 Street Links for Rehabilitation In order to develop a realistic model for optimizing the construction scheduling of roadway links, real data on the rehabilitation program of the Town of Amherst was acquired. 2
3 FIGURE 1. Priority Scheduling Process, Using GIS-T, and Multi-Attribute Utility Theory. The Amherst Town engineer provided information on their rehabilitation programs and the following assumptions were used in the model application: 1. Ten (10) street links are rehabilitated, every construction season. 2. Duration of construction season = 6 months. 3. Construction season is divided into 3 time segments of 2 months each 4. Three (3) or 4 links will be rehabilitated simultaneously in each time segment, and 3
4 5. Total lane closures on links will occur, i.e. the rehab links will be closed for traffic in both directions. From the 155 links of the Amherst street network, 10 links, having the lowest roadway score in conjunction with the highest traffic volume were selected for rehabilitation. These 10 links are displayed in Table 1. Link ID TABLE 1: Data of 10 Links Scheduled for Rehabilitation in Year 2002 A Node B Node Route Name Length (miles) No. of Lanes Speed Limit (mph) Road Score Peak Hour Vol. (vph) Link Capacity (vph) Kensington Ave , Hopkins Rd , Youngs Rd , N. French Rd , Sweet Home Rd , Audubon Pkwy , Hopkins Rd , Hopkins Rd , Hopkins Rd , N. Forest Rd , TOWN OF AMHERST REHABILITATION PROGRAM The demonstrated rehabilitation program was divided into three phases, as follows: PHASE I: A group of three links had to be selected for rehabilitation during Phase I. A set of 3 links out of 10, could be selected in 120 ways. All of the 120 combinations are listed in Table 2. Each of the 120 possible combinations will contain 3 unique links, which will be under construction simultaneously; therefore these 3 links were disabled during traffic assignment analysis. A network with all links enabled, which was termed as the base network, was also analyzed and used as a measure for comparison against the 120 different combinations. The most desirable combination was selected using a decision maker s preference. PHASE II: After Phase I is complete, the 7 remaining links were reconsidered during Phase II. Three (3) links could be selected out of 7 in 35 different combinations; the most desirable section was selected for rehabilitation during Phase II. PHASE III: Upon completion of Phase II, the remaining 4 links, which were not selected in Phases I or II, were scheduled for rehabilitation during Phase III. 4. IMPACTS OF URBAN STREET REHABILITATION The road closures during street rehabilitation have been found to cause the following adverse effects on urban travel (Sharma et. al. 1989, and Zhou et. al. 1997): (i) Traffic Congestion, (ii) Travel Delays, and (iii)increased Number of Accidents. These three factors will be called attributes in this paper. Prior research conducted on the three attributes, relevant to our project, is briefly described below: 4
5 TABLE 2: All Possible s of the 10 Streets in Groups of 3 Phase I Number Street Numbers in the Number Street Numbers in the Number Street Numbers in the Cost of Comfort and Convenience The traffic congestion gives rise to driver s frustration and stress, over time. This factor has been measured in terms of the Cost of Comfort and Convenience (CCC). Sharma and Lingras (Sharma et. al. 1989) performed research on the cost of driving comfort and convenience for two lane highways. The formula developed to compute the cost of comfort and convenience is shown in Equation 1 below: 5
6 where: v CCC = A c CCC = cost of comfort and convenience (cents/veh-mile) v/c = volume to capacity ratio A, B = model parameters B (1) By summing the values of CCC on each of the individual links in a combination, a total value of CCC can be computed for each combination and will become a variable in the multi-attribute utility model. All values for the CCC for the 120 possible combinations are shown in Figure 2. Figure 2 illustrates that if none of the links are closed/disabled, the total network cost of comfort and convenience (CCC) will be $9,460/hr. However, if combination 80 (Links , from Table 3) is selected for rehabilitation in Phase I, the CCC will be $11,150/hr, and if combination 120 (Links , from Table 2) is selected, the CCC will be $9,580/hr. FIGURE 2. Costs of Comfort & Convenience (CCC) for the 120 s. 4.2 Vehicle Travel Time Vehicle travel time on a roadway network is dependent on roadway characteristics such as link capacity, free flow travel time, link volumes, speed limits, and geometric roadway characteristics. The TransCAD TM SUE traffic assignment model provides output reports on the total vehicle travel time for each combination of disabled links network. The range of values for total network vehicle travel times from the TransCAD TM SUE traffic assignment model are shown in Figure 3. 6
7 FIGURE 3. Vehicle Travel Times (VTT) for the 120 s. 4.3 Accident Rate Model A study conducted by Zhou et. al. (Zhou et. al. 1997), analyzed the relationships between hourly accident rates and hourly traffic volume/capacity ratios on a six-lane urban freeway (I-94) in Michigan. The calculation of the hourly accident rate was performed by Equation 2 as below. where: 2 ( v ) ( v ) AR = c c 2 R = 0.57 AR = accident rate per hundred million vehicle miles v/c = volume to capacity ratio (2) Each network link in each of the combinations will have an associated accident rate (AR) that depicts the accident rate per year. The values for the AR for each of the 120 combinations are displayed in Figure MULTI-ATTRIBUTE UTILITY FUNCTION (MAUF) The Amherst Town Engineer, a person who could represent the best interests of the residents of Amherst, NY was selected as the sole decision maker. The decision maker was interviewed, and his certainty-equivalents for the three attributes were assessed. The attributes contain terminal values representing either the worst situation or the best situation. The decision maker was presented with a standard lottery in which he was given a 50/50 gamble where he has a chance of receiving either the least desirable situation or the most desirable situation, not both, or a guaranteed alternative (called certainty equivalent) in order to avoid the gamble. The decision maker then decides on a certain value of a particular attribute between terminal values which makes him/her indifferent to the gamble. 7
8 FIGURE 4. Accident Rates (AR) for the 120 s. The second step of the interview process was to determine scaling factors, or weights of each of the three attributes. For this, the decision maker was presented with standard lottery scenarios between the three attributes now lumped into bundles. Two standard bundles, best and worst scenarios, were presented and assigned index values to the decision maker as follows: Best Bundle: All the attributes (total travel time, accident rate, and cost of comfort and convenience) are at the most desirable levels. The index value assigned to this bundle is equal to one. Worst Bundle: All attributes are at the least desirable levels, and the index assigned to this bundle is equal to zero. Then three other bundles were presented separately to the decision maker, in each bundle, one attribute is placed at its most desirable level and the remaining two attributes at their least. The decision maker places an index value between 0 and 1, on these bundles in which he/she was indifferent to the standard lottery. The index value was the scaling factor for the attribute. 5.1 Decision Maker s Utility Plots Subsequent to the interview process mentioned earlier, the utility curves of the decision maker were plotted for each of the three attributes. The decision maker s utility curves and scaling factors are presented in Figure 5. In this case, since the decision maker s scaling factors equated to one, the MAUF model was additive, and is shown in Equation 3, below (Keeny, 1972): u( x) = k U ( x ) + k U ( x ) + k U ( x ) (3) TT TT AR AR CCC CCC 8
9 FIGURE 5. Utility Curves of the Decision Maker. After calculating the MAUF for each of the 120 combinations, the combination yielding the highest MAUF was ranked number one (1). Figure 6 displays the MAUF s of the decision maker for all of the 120 combinations. From Figure 6, it can be seen that section 120 (links 125, 126, & 138) yields the highest MAUF (0.67) of the decision maker, therefore this section is selected for rehabilitation in Phase I. After the Phase I combination, we have to select 3 out of the remaining 7 streets for Phase II, which can be done in 7 C 3 = 35 ways. Figure 7 illustrates all the MAUF s for the 35 combinations. From Figure 7, combination 15, having a MAUF of 0.54 comprising of streets: 17, 82, and 118, was selected for rehabilitation in Phase II. Phase III begins immediately after the completion of Phase II and contains the remaining four links which are links 62, 67, 76, and 81. Once the three phases were complete, a prioritized schedule of the rehabilitation projects was developed using SureTrak TM scheduling software, as in Figure 8. 9
10 FIGURE 6. Multi-Attribute Utility of the 120 Rehabilitation s. FIGURE 7. Multi-Attribute Utility of the 35 Rehabilitation s. 6. CONCLUSIONS A priority scheduling system which minimizes the (i) cost of comfort and convenience, (ii) total network travel time, and (iii) accident rate during road closures has been formulated and demonstrated in an example. In the example application, the combination of the 3 streets selected by the suggested method saved 13 veh-hrs/hr in network wide travel time, $127/hr on the cost of comfort and convenience, and 11 accidents/yr in the accident rates compared to the average of 10 random selections. The proposed algorithm can be coded into an expert system which practitioners can easily learn to use and draw priority schedules for their road rehabilitation programs. 10
11 Phase II Phase I Phase III FIGURE 8. Priority Schedule of the 10 Streets, for Rehabilitation. 7. PARTICIPATING AGENCIES All of the data obtained in this research for the demonstration application was obtained from the Town of Amherst Highway Department and the Greater Buffalo Niagara Regional Transportation Council (GBNRTC), located in Western N.Y. 8. REFERENCES Sharma, S. and Lingras, P. J. (May 1989). Cost of Driving Comfort and Convenience for Two-Lane Highways. J. of Transp. Engrg., ASCE, 115(3), Zhou, M. and Sisiopiku, V. P. (1997). Relationship Between Volume-to-Capacity Ratios and Accident Rates. Transp. Research Record 1581, TRB, National Research Council, Washington, D.C., Mohan, S. and Bushnak, A. (July 1985). Multi-Attribute Utility in Pavement Rehabilitation Decisions. J. of Transp. Engrg., ASCE, 111(4), Fishburn, P. (Jan. 1968). Utility Theory. Management Science, 14(5), Keeny, R. (Jan. 1972). Utility Functions for Multiattributed Consequences. Management Science, 18(5),
Schneps, Leila; Colmez, Coralie. Math on Trial : How Numbers Get Used and Abused in the Courtroom. New York, NY, USA: Basic Books, 2013. p i.
New York, NY, USA: Basic Books, 2013. p i. http://site.ebrary.com/lib/mcgill/doc?id=10665296&ppg=2 New York, NY, USA: Basic Books, 2013. p ii. http://site.ebrary.com/lib/mcgill/doc?id=10665296&ppg=3 New
More informationTECHNIQUES FOR MANUALLY ESTIMATING ROAD USER COSTS ASSOCIATED WITH CONSTRUCTION PROJECTS
TECHNIQUES FOR MANUALLY ESTIMATING ROAD USER COSTS ASSOCIATED WITH CONSTRUCTION PROJECTS by Ginger Daniels, P.E. Associate Research Engineer Texas Transportation Institute David R. Ellis, Ph.D. Associate
More informationCAPACITY AND LEVEL-OF-SERVICE CONCEPTS
CHAPTER 2 CAPACITY AND LEVEL-OF-SERVICE CONCEPTS CONTENTS I. INTRODUCTION...2-1 II. CAPACITY...2-2 III. DEMAND...2-2 IV. QUALITY AND LEVELS OF SERVICE...2-2 Service Flow Rates...2-3 Performance Measures...2-3
More informationMassachusetts Department of Transportation, Highway Division Ten Park Plaza, Boston, MA 02116-3973. A Guide on Traffic Analysis Tools
Massachusetts Department of Transportation, Highway Division Ten Park Plaza, Boston, MA 02116-3973 A Guide on Traffic Tools Revised October 5, 2012 1. PURPOSE The Massachusetts Department of Transportation,
More informationHighway Maintenance Scheduling Using Genetic Algorithm with Microscopic Traffic Simulation
Wang, Cheu and Fwa 1 Word Count: 6955 Highway Maintenance Scheduling Using Genetic Algorithm with Microscopic Traffic Simulation Ying Wang Research Scholar Department of Civil Engineering National University
More informationPRIORITIZATION PROCESSES
PROJECT SELECTION & PRIORITIZATION PROCESSES STIP Workshop Presented by: Bill Lawrence April 2011 Purpose and Review Overview of Project Selection Process Review Various Prioritization Processes Tk Take
More informationINDOT 2000-2025 Long Range Plan
Chapter 9 INDOT 2000-2025 Long Range Plan Highway Needs Analysis Overview The statewide transportation planning process provides for the identification of highway needs through a comprehensive process
More informationModeling Network Traffic for Planning Applications in a Small Community
Modeling Network Traffic for Planning Applications in a Small Community Ming S. Lee 1 ; Anthony Chen 2 ; Piya Chootinan 3 ; Walter Laabs 4 ; and Will Recker 5 Abstract: A procedure is developed to model
More informationACCELERATION CHARACTERISTICS OF VEHICLES IN RURAL PENNSYLVANIA
www.arpapress.com/volumes/vol12issue3/ijrras_12_3_14.pdf ACCELERATION CHARACTERISTICS OF VEHICLES IN RURAL PENNSYLVANIA Robert M. Brooks Associate Professor, Department of Civil and Environmental Engineering,
More informationCHAPTER 2 PAVEMENT MANAGEMENT SYSTEM
CHAPTER 2 PAVEMENT MANAGEMENT SYSTEM 2.1. INTRODUCTION TO PAVEMENT MANAGEMENT The ability of a pavement system to serve a society is largely a function of planning. Planning is the intersection between
More informationHow To Plan A City Of Korea
TRANSCAD MODELING AT NCTCOG: WHAT WE NOW HAVE For UT-Austin/NCTCOG Meeting January 28, 2004 AGENDA Background Modeling Environment Trip Generation And Distribution Transit Skims Mode Choice Transit And
More informationAvailable online at www.sciencedirect.com. ScienceDirect. Procedia Computer Science 52 (2015 ) 902 907
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 52 (2015 ) 902 907 The 4th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies
More informationROAD SAFETY GUIDELINES FOR TAH ROAD INFRASTRUCTURE SAFETY MANAGEMENT
I. GENERAL ROAD SAFETY GUIDELINES FOR TAH ROAD INFRASTRUCTURE SAFETY MANAGEMENT ANNEX III B i. The setting up and implementing of appropriate management procedures is an essential tool for improving the
More informationCHAPTER FOUR: EXISTING TRANSPORTATION MANAGEMENT
CHAPTER FOUR: EXISTING TRANSPORTATION MANAGEMENT 4.1 Transportation Management Systems Prior to 1991, the Missouri Department of Transportation (MoDOT) had begun development of several independent management
More informationFINAL REPORT DEVELOPMENT OF CONGESTION PERFORMANCE MEASURES USING ITS INFORMATION. Sarah B. Medley Graduate Research Assistant
FINAL REPORT DEVELOPMENT OF CONGESTION PERFORMANCE MEASURES USING ITS INFORMATION Sarah B. Medley Graduate Research Assistant Michael J. Demetsky, Ph.D., P.E. Faculty Research Scientist and Professor of
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 informationESTIMATION OF FREE-FLOW SPEEDS FOR MULTILANE RURAL AND SUBURBAN HIGHWAYS
ESTIMATION OF FREE-FLOW SPEEDS FOR MULTILANE RURAL AND SUBURBAN HIGHWAYS Pin-Yi TSENG Professor Department of Traffic Science Central Police University 56, Shu Jen Road, Kwei Shan, Taoyuan, 33334, Taiwan
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 UTPS-type models were designed to adequately
More information9988 REDWOOD AVENUE PROJECT TRAFFIC IMPACT ANALYSIS. April 24, 2015
9988 REDWOOD AVENUE PROJECT TRAFFIC IMPACT ANALYSIS April 24, 2015 Kunzman Associates, Inc. 9988 REDWOOD AVENUE PROJECT TRAFFIC IMPACT ANALYSIS April 24, 2015 Prepared by: Bryan Crawford Carl Ballard,
More informationChapter Forty-seven. RURAL TWO-LANE/MULTILANE STATE HIGHWAYS (New Construction/Reconstruction) BUREAU OF DESIGN AND ENVIRONMENT MANUAL
Chapter Forty-seven RURAL TWO-LANE/MULTILANE STATE HIGHWAYS (New Construction/Reconstruction) BUREAU OF DESIGN AND ENVIRONMENT MANUAL Illinois RURAL TWO-LANE/MULTILANE STATE HIGHWAYS December 2009 2 Illinois
More informationApplication of GIS in Transportation Planning: The Case of Riyadh, the Kingdom of Saudi Arabia
Application of GIS in Transportation Planning: The Case of Riyadh, the Kingdom of Saudi Arabia Mezyad Alterkawi King Saud University, Kingdom of Saudi Arabia * Abstract This paper is intended to illustrate
More informationAuthor: Hamid A.E. Al-Jameel (Research Institute: Engineering Research Centre)
SPARC 2010 Evaluation of Car-following Models Using Field Data Author: Hamid A.E. Al-Jameel (Research Institute: Engineering Research Centre) Abstract Traffic congestion problems have been recognised as
More informationWord Count: Body Text = 5,500 + 2,000 (4 Figures, 4 Tables) = 7,500 words
PRIORITIZING ACCESS MANAGEMENT IMPLEMENTATION By: Grant G. Schultz, Ph.D., P.E., PTOE Assistant Professor Department of Civil & Environmental Engineering Brigham Young University 368 Clyde Building Provo,
More informationCongestion Management Systems: A Federal Perspective. 7 Key CMS Components
Congestion Management Systems: A Federal Perspective Brian Betlyon FHWA Resource Center brian.betlyon@fhwa.dot.gov 7 Key CMS Components 1. Area of Application 2. System Definition (modes & network) 4.
More informationAnchorage Travel Model Calibration and Validation
Final Draft Anchorage Travel Model Calibration and Validation Prepared for Anchorage Metropolitan Transportation Solutions (AMATS) February 2005 301 West Northern Lights Boulevard Suite 601 Anchorage,
More informationDEDICATION. To my parents, wife, daughter, brothers and sisters. for all their patience, understanding and support
ii iii DEDICATION To my parents, wife, daughter, brothers and sisters for all their patience, understanding and support iv AKNOWLEDGMENT I am sincerely greatful to prof. Adli Al-Balbissi for his advice,
More informationTRANSPORTATION MODELLING IN CALGARY
TRANSPORTATION MODELLING IN CALGARY Why Do We Use Transportation Models? There are three approaches that can be used for proceeding to develop a transportation system for Calgary s future. One approach
More informationWORK ZONE SAFETY & MOBILITY GUIDANCE DOCUMENT
WORK ZONE SAFETY & MOBILITY GUIDANCE DOCUMENT August 2007 Prepared by: Vermont Agency of Transportation The following document was drafted in response to updates made to the work zone regulations at 23
More informationThe Northwest Arkansas Travel Demand Model
The Northwest Arkansas Travel Demand Model Creation and Results John McLarty Northwest Arkansas Regional Planning Commission Cristina Scarlat Center for Advanced Spatial Technologies What is a Travel Demand
More informationAccess Spacing and Accidents
Access Spacing and Accidents A Conceptual Analysis HERBERT S. LEVINSON Transportation Consultant 40 Hemlock Road New Haven, CT 06515 ABSTRACT This paper develops a method for predicting the safety of arterial
More informationSIGHT DISTANCE. Presented by Nazir Lalani P.E. Traffex Engineers Inc. N_lalani@hotmail.com WHY IS SIGHT DISTANCE SO IMPORTANT?
SIGHT DISTANCE Presented by Nazir Lalani P.E. Traffex Engineers Inc. N_lalani@hotmail.com WHY IS SIGHT DISTANCE SO IMPORTANT? Drivers must be able to: Stop for objects in the roadway Stop for stationary
More informationHamilton Truck Route Study
Prepared for the City of Hamilton March 2012 Pavlos S. Kanaroglou, Ph.D. Vivek Korikanthimath, Ph.D. McMaster Institute of Transportation and Logistics McMaster University Hamilton, Ontario March 2012
More informationEconomic Analysis Reports: Briefing. Transportation Finance Panel
Economic Analysis Reports: 1. I-84 Viaduct in Hartford 2. I-84/Rt8 Mixmaster in Waterbury 3. New Haven Rail Line Briefing for Transportation Finance Panel Nov 23, 2015 Economic analyses 1 & 2 1. I-84 Viaduct
More informationComparison of Pavement Network Management Tools based on Linear and Non-Linear Optimization Methods
Comparison of Pavement Network Management Tools based on Linear and Non-Linear Optimization Methods Lijun Gao, Eddie Y. Chou, and Shuo Wang () Department of Civil Engineering, University of Toledo, 0 W.
More informationSpeed and Acceleration Characteristics of Different Types of Vehicles on Multi-Lane Highways
Speed and Acceleration Characteristics of Different Types of Vehicles on Multi-Lane Highways Arpan Mehar 1 Satish Chandra 2, and Senathipathi Velmurugan 3 1 Research Scholar, Department of Civil Engineering,
More informationA Quantitative Decision Support Framework for Optimal Railway Capacity Planning
A Quantitative Decision Support Framework for Optimal Railway Capacity Planning Y.C. Lai, C.P.L. Barkan University of Illinois at Urbana-Champaign, Urbana, USA Abstract Railways around the world are facing
More informationMinistry of Interior. Bulgarian National 112 System. April 28-th, 2010 EENA Operations Committee
Ministry of Interior Bulgarian National 112 System April 28-th, 2010 EENA Operations Committee Legal Framework Bulgarian Government issued a Decree 192/09.08.2007, introducing 112 Emergency System. Decision
More informationOptimal Replacement of Underground Distribution Cables
1 Optimal Replacement of Underground Distribution Cables Jeremy A. Bloom, Member, IEEE, Charles Feinstein, and Peter Morris Abstract This paper presents a general decision model that enables utilities
More informationSurface Transportation Program (STP) Projects
Toledo Metropolitan Area Council of Governments American Reinvestment and Recovery Act (Economic Stimulus Program) Application Packet for: Surface Transportation Program (STP) Projects APPLICATIONS DUE
More informationTRANSPORTATION IMPACT ANALYSIS PROCEDURES MANUAL
TRANSPORTATION IMPACT ANALYSIS PROCEDURES MANUAL INTRODUCTION The Town of Harrisburg is committed to establishing an interconnected, multimodal transportation system that increases mobility, safety, connectivity,
More informationTraffic Simulation Modeling: VISSIM. Koh S.Y Doina 1 and Chin H.C 2
Traffic Simulation Modeling: VISSIM Koh S.Y Doina 1 and Chin H.C 2 Faculty of Engineering, Civil Engineering Department, National University of Singapore ABSTRACT This Undergraduate Research Opportunity
More informationA Short Tour of the Predictive Modeling Process
Chapter 2 A Short Tour of the Predictive Modeling Process Before diving in to the formal components of model building, we present a simple example that illustrates the broad concepts of model building.
More informationThe Corporation of the TOWN OF MILTON
The Corporation of the TOWN OF MILTON Report to: From: Mayor G. A. Krantz & Members of Council M. Paul Cripps, P. Eng., Director, Engineering Services Date: November 11, 2013 Report No. ENG-039-13 Subject:
More informationTraffic Accidents Trends and Characteristics in Jordan
International Journal of Civil & Environmental Engineering IJCEE-IJENS Vol:13 No:5 9 Traffic Accidents Trends and Characteristics in Jordan Bashar AL-Omari 1, Khalid Ghuzlan 2*, Hala Hasan 3 1 Associate
More informationTechnical Report Documentation Page. 2. Government Accession No. 3. Recipient's Catalog No. 1. Report No. FHWA/TX-13/0-6737-1
1. Report No. FHWA/TX-13/0-6737-1 4. Title and Subtitle EXECUTIVE REPORT: TOLL ROADS, TOLL RATES, AND DRIVER BEHAVIOR 2. Government Accession No. 3. Recipient's Catalog No. Technical Report Documentation
More informationEvaluation Criteria and Mode Progression for RouteAhead Rapid Transit Projects
Evaluation Criteria and Mode Progression for RouteAhead Rapid Transit Projects C2012-0684 ATTACHMENT 2 The RouteAhead draft 30-year rapid transit plan was developed in coordination with the Investing in
More informationAdvantages and Disadvantages of One Way Streets October 30, 2007
Advantages and Disadvantages of One Way Streets October 30, 2007 0 P age Background As the revitalization of the Central Waterfront area moves forward, one issue that might need closer analysis is the
More informationGlencoe. correlated to SOUTH CAROLINA MATH CURRICULUM STANDARDS GRADE 6 3-3, 5-8 8-4, 8-7 1-6, 4-9
Glencoe correlated to SOUTH CAROLINA MATH CURRICULUM STANDARDS GRADE 6 STANDARDS 6-8 Number and Operations (NO) Standard I. Understand numbers, ways of representing numbers, relationships among numbers,
More informationTRAVEL TIME DATA COLLECTION AND SPATIAL INFORMATION TECHNOLOGIES FOR RELIABLE TRANSPORTATION SYSTEMS PLANNING
TRAVEL TIME DATA COLLECTION AND SPATIAL INFORMATION TECHNOLOGIES FOR RELIABLE TRANSPORTATION SYSTEMS PLANNING Srinivas S. Pulugurtha, Ph.D., P.E. Venkata R. Duddu, Ph.D., E.I. The University of North Carolina
More informationGIS IN TRANSPORTATION AND VEHICLE ROUTING. Alison Steere
GIS IN TRANSPORTATION AND VEHICLE ROUTING Alison Steere The economy in the United States has declined drastically in recent years, causing a tough financial situation for the transportation infrastructure.
More informationTransportation Education Series: Travel Demand Modeling. David Reinke November 2012
Transportation Education Series: Travel Demand Modeling David Reinke November 2012 Presentation overview What are travel demand models? Why use them? How do they work? What goes into building them? What
More informationDRIVEN BY TIME WINDOWS: PREDICTIVE STRATEGIES
DRIVEN BY TIME WINDOWS: PREDICTIVE STRATEGIES FOR REAL-TIME PICK-UP AND DELIVERY OPERATIONS Hani Mahmassani Lan Jiang Industry Workshop: The Fight for the Last Mile Northwestern University Transportation
More informationHow should we prioritise incident management deployment?
Marschke, Ms Kath and Ferreira, Dr Luis and Bunker, Dr Jonathan (2005) How should we prioritise incident management deployment?. In Proceedings Australasian Transport Research Forum, Sydney 2005. How should
More informationOhio Standard Small/Medium MPO Travel Demand Forecasting Model. Theoretical Training May 10-11, 2006 Abridged to Freight Focus Sept 2010
Ohio Standard Small/Medium MPO Travel Demand Forecasting Model Theoretical Training May 10-11, 2006 Abridged to Freight Focus Sept 2010 Model Overview Key Features Modeling of highway and non highway modes
More informationSection A. Index. Section A. Planning, Budgeting and Forecasting Section A.2 Forecasting techniques... 1. Page 1 of 11. EduPristine CMA - Part I
Index Section A. Planning, Budgeting and Forecasting Section A.2 Forecasting techniques... 1 EduPristine CMA - Part I Page 1 of 11 Section A. Planning, Budgeting and Forecasting Section A.2 Forecasting
More informationThe TomTom Manifesto Reducing Congestion for All Big traffic data for smart mobility, traffic planning and traffic management
The TomTom Manifesto Reducing Congestion for All Big traffic data for smart mobility, traffic planning and traffic management Ralf-Peter Schäfer Fellow & VP Traffic and Travel Information Product Unit
More informationGoals & Objectives. Chapter 9. Transportation
Goals & Objectives Chapter 9 Transportation Transportation MISSION STATEMENT: TO PROVIDE A TRANSPORTATION NETWORK CAPABLE OF MOVING PEOPLE AND GOODS EFFICIENTLY AND SAFELY. T he transportation system
More informationStudy and Calculation of Travel Time Reliability Measures
Center for Applied Demography & Survey Research University of Delaware Study and Calculation of Travel Time Reliability Measures by David P. Racca Daniel T. Brown Prepared for the Delaware Department of
More informationRailway Crossing Information System
Railway Crossing Information System ITS Canada Presentation June 2, 2014 Ian Steele, P.Eng Agenda Click to edit Master title style RBRC Program Project Background Concept of Operations Design Process Design
More informationPaul Deutsch. NDDOT Office of Project Development Conference November 9, 2010
Paul Deutsch NDDOT Office of Project Development Conference November 9, 2010 What is a Horizontal Curve? Provides a transition between two tangent lengths of roadway. PI PC PT PC (Point of Curvature at
More informationChapter 23. Multilane Highways. 23.1 Introduction. 23.2 Multilane Highways. 23.2.1 Highway Classification
Chapter 23 Multilane Highways 23.1 Introduction Increasing traffic flow has forced engineers to increase the number of lanes of highways in order to provide good manoeuvring facilities to the users. The
More informationACCIDENT PREDICTION MODELS FOR TWO-LANE RURAL HIGHWAYS
ACCIDENT PREDICTION MODELS FOR TWO-LANE RURAL HIGHWAYS K. R. Kalokota Utah Transportation Center Utah State University Prianka N. Seneviratne Utah Transportation Center Utah State University May 1994 Acknowledgments
More informationWICHITA FALLS METROPOLITAN PLANNING ORGANIZATION
WICHITA FALLS METROPOLITAN PLANNING ORGANIZATION Appendix C: Model Validation Report MTP UPDATE 2010-2035 Travel Demand Model Validation Update In order to evaluate existing travel patterns and to anticipate
More informationTransit Pass-Through Lanes at Freeway Interchanges: A Life-Cycle Evaluation Methodology
Transit Pass-Through Lanes at Freeway Interchanges: A Life-Cycle Evaluation Methodology Michael Mandelzys and Bruce Hellinga University of Waterloo Abstract Transit pass-through lanes provide transit vehicle
More informationCRASHING-RISK-MODELING SOFTWARE (CRMS)
International Journal of Science, Environment and Technology, Vol. 4, No 2, 2015, 501 508 ISSN 2278-3687 (O) 2277-663X (P) CRASHING-RISK-MODELING SOFTWARE (CRMS) Nabil Semaan 1, Najib Georges 2 and Joe
More informationReal Time Bus Monitoring System by Sharing the Location Using Google Cloud Server Messaging
Real Time Bus Monitoring System by Sharing the Location Using Google Cloud Server Messaging Aravind. P, Kalaiarasan.A 2, D. Rajini Girinath 3 PG Student, Dept. of CSE, Anand Institute of Higher Technology,
More information0.0 Curb Radii Guidelines Version 1.0.2
Background In early 2014, Transportation Services initiated a review of the Division's design guidelines and standards to move our organization in a direction consistent with the transportation departments
More informationMISSOURI TRAFFIC SAFETY COMPENDIUM
2010 MISSOURI TRAFFIC SAFETY COMPENDIUM MISSOURI STATE HIGHWAY PATROL STATISTICAL ANALYSIS CENTER 1510 East Elm Jefferson City, Missouri 65101 (573) 751-9000 CONTENTS PAGE EXECUTIVE SUMMARY INTRODUCTION...1
More informationMicroscopic Simulation of Traffic at a Suburban Interchange
Microscopic Simulation of Traffic at a Suburban Interchange Roger V. Lindgren and Sutti Tantiyanugulchai Abstract Recent advances in computer hardware and software technology have led to the increased
More informationCapacity and Level of Service
CHAPTER 10 Capacity and Level of Service Determination of the capacities of transportation systems and facilities is a major issue in the analysis of transportation flow. The capacity of a transportation
More informationChapter 11 SAFE CURVE SPEED STUDY
Topic No. 750-020-007 January 2000 Chapter 11 SAFE CURVE SPEED STUDY 11.1 PURPOSE The purpose of the Safe Curve Speed Study (Form No. 750-020-12) is to determine the safe speed that a vehicle can negotiate
More informationModeling e-logistics For Urban B2C In Europe
Modeling e-logistics For Urban B2C In Europe Dante Galván National University of Buenos Aires Center Province - Argentine Francesc Robusté, Miquel Estrada, Magín Campos Center for Innovation in Transport
More informationWeb-Based Work Zone Traffic Analysis Tool Users Guide
Oregon Department of Transportation TECHNICAL SERVICES TRAFFIC - ROADWAY SECTION TRAFFIC CONTROL PLANS UNIT Web-Based Work Zone Traffic Analysis Tool Users Guide Fall 2010 DATE: April 2010 TO: FROM: Work
More informationMPC-452 April 1, 2014- July 31, 2017
MPC-452 April 1, 2014- July 31, 2017 Project Title: Updating the Highway Safety Manual 2010 - Part C: Regional Consideration of the Rocky Mountains and Plain Regions University: University of Wyoming Principal
More informationQUICKZONE DELAY ESTIMATION SOFTWARE: NOVA SCOTIA CASE STUDIES
QUICKZONE DELAY ESTIMATION SOFTWARE: NOVA SCOTIA CASE STUDIES Gerard Kennedy, P.Eng. Nova Scotia Department of Transportation and Public Works Matthew Hardy Lead Transportation Engineer Mitretek Systems
More informationTransportation Policy and Design Strategies. Freight Intensive. Level of Freight Presence
Appendix G Transportation Policy and Design Strategies CONTEXT SENSITIVE SOLUTIONS To address the need to describe freight systems which account for the population distress which may result, an analysis
More informationTraffic Monitoring Guide May 1, 2001. Vehicle Classification Monitoring
Vehicle Classification Monitoring SECTION 4 CONTENTS Section Page CHAPTER 1 INTRODUCTION...4-1 Variability...4-1 Data Collection to Account for Truck Movements...4-2 Integration of Classification Counting
More informationANNEXS TRANSPORTATION
ANNEXS TRANSPORTATION Brazos County Interjurisdictional Emergency Management January 2013 Ver 2.0 APPROVAL & IMPLEMENTATION Annex S Transportation This annex is hereby approved for implementation and supersedes
More informationLife Cycle Cost Analysis (LCCA)
v01-19-11 Life Cycle Cost Analysis (LCCA) Introduction The SHRP2 R-23 Guidelines provide a number of possible alternative designs using either rigid of flexible pavements. There is usually not a single
More informationGPS TRUCK DATA PERFORMANCE MEASURES PROGRAM IN WASHINGTON STATE
Draft Research Report Agreement T4118, Task 31 Truck Performance Measure Research Project GPS TRUCK DATA PERFORMANCE MEASURES PROGRAM IN WASHINGTON STATE by Edward McCormack and Wenjuan Zhao University
More informationAccurately and Efficiently Measuring Individual Account Credit Risk On Existing Portfolios
Accurately and Efficiently Measuring Individual Account Credit Risk On Existing Portfolios By: Michael Banasiak & By: Daniel Tantum, Ph.D. What Are Statistical Based Behavior Scoring Models And How Are
More informationBill Eshbaugh, P.E. Eastern Federal Lands Highway Division October 26, 2007
Improving and Maintaining the Alignment between Pavement Condition Rating and Maintenance and Rehabilitation Recommendations Bill Eshbaugh, P.E. Eastern Federal Lands Highway Division October 26, 2007
More informationPresentation to Community Task Force July 9, 2007
Alternative Evaluation Results Presentation to Community Task Force July 9, 2007 Outline of Presentation Overview of alternative evaluation Alternative evaluation methodology Process and assumptions General
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 informationGEOMETRIC DESIGN CIVL 3161
GEOMETRIC DESIGN CIVL 3161 Reading Assignment: p. 45-72 (4 th ed.) p.45-75 (previous ed.) in Mannering textbook. Geometric design of highway facilities deals with the proportion of physical elements of
More informationNew Mexico Traffic Crash Annual Report 2011
New Mexico Traffic Crash Annual Report 2011 New Mexico Department of Transportation Planning and Traffic Safety Division New Mexico Department of Transportation Planning and Traffic Safety Division P.O.
More informationTERMINAL 91 2011 TRAFFIC MONITORING STUDY
DRAFT TERMINAL 91 2011 TRAFFIC MONITORING STUDY Prepared for: Port of Seattle Prepared by: 6544 NE 61st Street, Seattle, WA 98115 ph: (206) 523-3939 fx: (206) 523-4949 NOVEMBER 4, 2011 TABLE OF CONTENTS
More informationEvaluation of the Towing and Recovery Incentive Program (TRIP)
Georgia Department of Transportation Evaluation of the Towing and Recovery Incentive Program (TRIP) Prepared for: Georgia Department of Transportation 935 East Confederate Avenue, Building 24 Atlanta,
More informationSPEED CONTROL EFFECT STUDY ON OPTICAL ILLUSION DECELERATION MARKINGS
SPEED CONTROL EFFECT STUDY ON OPTICAL ILLUSION ABSTRACT DECELERATION MARKINGS Jingmei WU 1, Han HU 1, Jinhai LI 1 (1. Road Safety Research Center, Research Institute of Highway, M.O.T, Beijing, China;
More informationEasily Identify Your Best Customers
IBM SPSS Statistics Easily Identify Your Best Customers Use IBM SPSS predictive analytics software to gain insight from your customer database Contents: 1 Introduction 2 Exploring customer data Where do
More information5 ALTERNATIVE SOLUTIONS AND EVALUATION
Page 23 5 ALTERNATIVE SOLUTIONS AND EVALUATION The process used for the assessment and evaluation of the alternatives follows the procedures of the Municipal Class EA, as described below: Identify a reasonable
More informationResearch and Deployment of Technologies on Florida Highways and Streets
Research and Deployment of Technologies on Florida Highways and Streets Essam Radwan, Ph.D., P.E. Professor of Engineering CATSS Executive Director Center for Advanced Transportation Systems Simulation
More informationTraffic Volume Counts
Traffic Volume Counts Prepare 1. Communicate with other staff/departments 2. Review historical data trends 3. Review citizen input 4. Request traffic control Select Location 1. Select the proper location
More informationLeicestershire County Council Transport Trends in Leicestershire 2014. Transport Data and Intelligence (TDI)
Leicestershire County Council Transport Trends in Leicestershire 2014 Transport Data and Intelligence (TDI) Table of Contents Contents List of Tables... 3 List of Figures... 3 Overview... 5 Traffic Growth...
More informationHERS_IN. HIGHWAY ECONOMIC REQUIREMENTS SYSTEM (for) INDIANA. AASHTO Transportation Estimator Association Conference October 16, 2001
AASHTO Transportation Estimator Association Conference October 16, 2001 HERS_IN HIGHWAY ECONOMIC REQUIREMENTS SYSTEM (for) INDIANA OVERVIEW HERS Background System Planning Tool Development HERS_IN Structure
More informationCorrelation key concepts:
CORRELATION Correlation key concepts: Types of correlation Methods of studying correlation a) Scatter diagram b) Karl pearson s coefficient of correlation c) Spearman s Rank correlation coefficient d)
More informationNetwork development and design
Network development and design A short introduction to the MOVE Meter: a web based tool to support your planning process pagina 2 // 6-Nov-15 // Content 1. MOVE Mobility 2. MOVE Meter introduction 3. The
More informationAPPENDIX J TRAFFIC STUDY
APPENDIX J TRAFFIC STUDY May 7, 2014 Ms. Leianne Humble Denise Duffy and Associates, Inc. 947 Cass Street, Suite 5 Monterey, CA 93940 Re: Traffic Study for the Heritage Oaks Memorial Park in San Jose,
More informationA Presentation by the Project Managers: Rick Canizales Prince William County. Jana Lynott, AICP Northern Virginia Transportation Commission
A Presentation by the Project Managers: Rick Canizales Prince William County & Jana Lynott, AICP Northern Virginia Transportation Commission for the: Public Open House and Hearing December 6, 2005 George
More information