Connecting networkwide travel time reliability and the network fundamental diagram of traffic flow

Transportation Research Record

Volumn , Issue 2391, 2013, Pages 80-91

  Mahmassani, Hani ^a   Hou, Tian ^b   Saberi, Meead ^b  

^a 215 Chambers Hall   (United States)

^b Northwestern University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FLOW RATE; RELIABILITY; TRAFFIC CONTROL;

EN-ROUTE; FUNDAMENTAL DIAGRAM; NETWORK SCALE; NETWORKS DENSITIES; ROUTE INFORMATION; TRAFFIC DESCRIPTOR; TRAFFIC FLOW; TRAVEL TIME RELIABILITY; TRAVEL TIME VARIABILITIES; URBAN NETWORKS;

TRAVEL TIME;

EID: 84894496108     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2391-08     Document Type: Article

References (38)

1. Herman, R., and I. Prigogine. A Two-Fluid Approach to Town Traffic. Transportation Science, Vol. 204, No. 4389, 1979, pp. 148-151.
2. Mahmassani, H. S., J. C. Williams, and R. Herman. Investigation of Network-Level Traffic Flow Relationships: Some Simulation Results. In Transportation Research Record 971, TRB, National Research Council, Washington, D. C., 1984, pp. 121-130.
3. Mahmassani, H. S., J. C. Williams, and R. Herman. Performance of Urban Traffic Networks. Transportation and Traffic Theory: Proceedings of the 10th International Symposium on Transportation and Traffic Theory (N. H. Gartner and N. H. M. Wilson, eds.), Elsevier, Amsterdam, Netherlands, 1987, pp. 1-20.
4. Williams, J., H. S. Mahmassani, and R. Herman. Urban Traffic Network Flow Models. In Transportation Research Record 1112, TRB, National Research Council, Washington, D. C., 1987, pp. 78-88.
5. Mahmassani, H. S., and S. Peeta. Network Performance Under System Optimal and User Equilibrium Dynamic Assignments: Implications for Advanced Traveler Information Systems. In Transportation Research Record 1408, TRB, National Research Council, Washington, D. C., 1993, pp. 83-93.
6. Williams, J., H. S. Mahmassani, and R. Herman. Sampling Strategies for Two-Fluid Model Parameter Estimation in Urban Networks. Transportation Research Part A, Vol. 29, No. 3, 1995, pp. 229-244.
7. Geroliminis, N., and C. Daganzo. Existence of Urban-Scale Macroscopic Fundamental Diagrams: Some Experimental Findings. Transportation Research Part B, Vol. 42, No. 9, 2008, pp. 759-770.
8. Turner, S. M., M. E. Best, and D. L. Schrank. Measures of Effectiveness for Major Investment Studies. SWUTC/96/467106-1. Southwest Region University Transportation Center, Texas Transportation Institute, Texas A&M University System, College Station, 1996.
9. 1998 California Transportation Plan: Transportation System Performance Measures. Final report. California Department of Transportation, Sacramento, 1998.
10. Travel Time Reliability: Making It There on Time, All the Time. FHWA, U. S. Department of Transportation, 2006. http://www.ops.fhwa.dot.gov/publications/ tt-reliability/TTR-Report.htmwww.ops.fhwa.dot.gov/publications/tt-reliability/ TTR-Report.htm
11. Lomax, T., D. Schrank, S. Turner, and R. Margiotta. Selecting Travel Reliability Measures. Texas Transportation Institute, Texas A&M University System, College Station, and Cambridge Systematics Inc., Cambridge, Mass., 2003.
12. Traffic Congestion and Reliability: Trends and Advanced Strategies. Final report. FHWA, U. S. Department of Transportation, 2005.
13. Hasan, S., M. E. Ben-Akiva, C. Choudhury, and A. Emmonds. Modeling Travel Time Variability on Urban Links in London. Proc., European Transport Conference, Noordwijkerhout, Netherlands, Association for European Transport, Henley-in-Arden, United Kingdom, 2009.
14. Saberi, M., and R. L. Bertini. Beyond Corridor Reliability Measures: Analysis of Freeway Travel Time Reliability at the Segment Level for Hot Spot Identification. Presented at 89th Annual Meeting of the Transportation Research Board, Washington, D. C., 2010.
15. Rakha, H., I. El-Shawarby, M. Arafeh, and F. Dion. Estimating Path Travel-Time Reliability. Proc., 9th International IEEE Conference on Intelligent Transportation Systems, Toronto, Ontario, Canada, IEEE, New York, 2006, pp. 236-241.
16. Lyman, K., and R. L. Bertini. Using Travel Time Reliability Measures to Improve Regional Transportation Planning and Operations. In Transportation Research Record: Journal of the Transportation Research Board, No. 2046, Transportation Research Board of the National Academies, Washington, D. C., 2008, pp. 1-10.
17. Daganzo, C. Urban Gridlock: Macroscopic Modeling and Mitigation Approaches. Transportation Research Part B, Vol. 41, No. 1, 2007, pp. 49-62.
18. Buisson, C., and C. Ladier. Exploring the Impact of Homogeneity of Traffic Measurements on the Existence of Macroscopic Fundamental Diagrams. In Transportation Research Record: Journal of the Transportation Research Board, No. 2124, Transportation Research Board of the National Academies, Washington, D. C., 2009, pp. 127-136.
19. Geroliminis, N., and J. Sun. Properties of a Well-Defined Macroscopic Fundamental Diagram for Urban Traffic. Transportation Research Part B, Vol. 45, No. 3, 2011, pp. 605-617.
20. Saberi, M., and H. S. Mahmassani. Exploring Properties of Networkwide Flow-Density Relations in a Freeway Network. In Transportation Research Record: Journal of the Transportation Research Board, No. 2315, Transportation Research Board of the National Academies, Washington, D. C., 2012, pp. 153-163.
21. Ji, Y., W. Daamen, S. Hoogendoorn, S. Hoogendoorn-Lanser, and X. Qian. Investigating the Shape of the Macroscopic Fundamental Diagram Using Simulation Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 2161, Transportation Research Board of the National Academies, Washington, D. C., 2010, pp. 40-48.
22. Gonzales, E., C. Chavis, Y. Li, and C. F. Daganzo. Multimodal Transport in Nairobi, Kenya: Insights and Recommendations with a Macroscopic Evidence-Based Model. Presented at 90th Annual Meeting of the Transportation Research Board, Washington, D. C., 2011.
23. Lam, T., and K. Small. The Value of Time and Reliability: Measurement from a Value Pricing Experiment. Transportation Research Part E, Vol. 37, No. 2-3, 2001, pp. 231-251.
24. Sen, S., R. Pillai, S. Joshi, and A. Rathi. A Mean-Variance Model for Route Guidance in Advanced Traveler Information Systems. Transportation Science, Vol. 35, No. 1, 2001, pp. 37-49.
25. Prigogine, I., and R. Herman. Kinetic Theory of Vehicular Traffic. Elsevier, New York, 1971.
26. Herman, R., and T. Lam. Trip Time Characteristics of Journeys to and from Work. Transportation and Traffic Theory: Proceedings of the 6th International Symposium of Transportation and Traffic Flow (D. J. Buckley, ed.), Sydney, Australia, Elsevier, Amsterdam, Netherlands, 1974, pp. 57-85.
27. Taylor, M. Travel Time Variability: The Case of Two Public Modes. Transportation Science, Vol. 16, No. 4, 1982, pp. 507-521.
28. Richardson, A., and M. Taylor. Travel Time Variability on Commuter Journeys. High Speed Ground Transportation Journal, Vol. 12, No. 1, 1978, pp. 77-99.
29. Jones, E. G., H. Mahmassani, R. Herman, and C. M. Walton. Travel Time Variability in a Commuting Corridor: Implications for Electronic Route Guidance. Proc., First International Conference on Applications of Advanced Technologies in Transportation Engineering, San Diego, Calif., 1989, pp. 27-32.
30. Mahmassani, H. S., T. Hou, and J. Dong. Characterizing Travel Time Variability in Vehicular Traffic Networks: Deriving a Robust Relation for Reliability Analysis. In Transportation Research Record: Journal of the Transportation Research Board, No. 2315, Transportation Research Board of the National Academies, Washington, D. C., 2012, pp. 141-152.
31. Daganzo, C., and N. Geroliminis. An Analytical Approximation for the Macroscopic Fundamental Diagram of Urban Traffic. Transportation Research Part B, Vol. 42, No. 9, 2008, pp. 771-781.
32. Greenshields, B. D., J. R. Bibbins, W. S. Channing, and H. H. Miller. A Study in Traffic Capacity. In Highway Research Record 14, HRB, National Research Council, Washington, D. C., 1935, pp. 448-477.
33. Chang, G.-L., H. S. Mahmassani, and R. Herman. Macroparticle Traffic Simulation Model to Investigate Peak-Period Commuter Decision Dynamics. In Transportation Research Record 1005, TRB, National Research Council, Washington, D. C., 1985, pp. 107-121.
34. Greenberg, H. An Analysis of Traffic Flow. Operations Research, Vol. 7, No. 1, 1959, pp. 79-85.
35. Al-Deek, H., and A. Kanafani. Modeling the Benefits of Advanced Traveler Information Systems in Corridors with Incidents. Transportation Research Part C, Vol. 1, No. 4, 1993, pp. 303-324.
36. Levinson, D. The Value of Advanced Traveler Information Systems for Route Choice. Transportation Research Part C, Vol. 11, No. 1, 2003, pp. 75-87.
37. Stephan, D. G. and H. S. Mahmassani. Experimental Investigation of Route and Departure Time Choice Dynamics of Urban Commuters. In Transportation Research Record 1203, TRB, National Research Council, Washington, D. C., 1988, pp. 69-84.
38. Mahmassani, H. S., and Y.-H. Liu. Dynamics of Commuting Decision Behaviour Under Advanced Traveller Information Systems. Transportation Research Part C, Vol. 7, No. 2, 1999, pp. 91-107.