Unified framework for dynamic traffic assignment and signal control with cell transmission model

Transportation Research Record

Volumn 2311, Issue , 2012, Pages 73-84

  Aziz, H M Abdul ^a   Ukkusuri, Satish V ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INTEGER PROGRAMMING; TIME SWITCHES; TRAFFIC CONGESTION; TRAFFIC SIGNALS;

CELL TRANSMISSION MODEL; CONTROL OPTIMIZATION; CYCLE LENGTH; DYNAMIC TRAFFIC; OBJECTIVE FUNCTIONS; OPTIMAL APPROACHES; SIGNAL CONTROL; SYSTEM-OPTIMAL; TRAFFIC ASSIGNMENT; UNIFIED FRAMEWORK;

TRAVEL TIME;

EID: 85015557913     PISSN: 03611981     EISSN: 21694052     Source Type: Journal    
DOI: 10.3141/2311-07     Document Type: Article

References (35)

1. Schrank, D., T. Lomax, and S. Turner. TTI’s 2010 Urban Mobility Report. Texas Transportation Institute, Texas A&M University System, College Station, 2010.
2. 2007 National Traffic Signal Report Card: Executive Summary. National Transportation Operations Coalition, 2007. http://www.ite.org/reportcard.
3. Karoonsoontawong, A., and S. Waller. Integrated Network Capacity Expansion and Traffic Signal Optimization Problem: Robust Bi-Level Dynamic Formulation. Networks and Spatial Economics, Vol. 10, No. 4, 2010, pp. 525–550.
4. Lin,W.-H.,and C. Wang. An Enhanced 0–1 Mixed-Integer LP Formulation for Traffic Signal Control. IEEE Transactions on Intelligent Transportation Systems, Vol. 5, No. 4, 2004, pp. 238–245.
5. Beard, C., and A. Ziliaskopoulos. System Optimal Signal Optimization Formulation. In Transportation Research Record: Journal of the Transportation Research Board, No. 1978, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 102–112.
6. Ukkusuri, S. V., G. Ramadurai, and G. Patil. A Robust Transportation Signal Control Problem Accounting for Traffic Dynamics. Computers & Operations Research, Vol. 37, No. 5, 2010, pp. 869–879.
7. Yang, H., and S. Yagar. Traffic Assignment and Signal Control in Saturated Road Networks. Transportation Research Part A: Policy and Practice, Vol. 29, No. 2, 2005, pp. 125–139.
8. Peeta, S., and A. Ziliaskopoulos. Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future. Networks and Spatial Economics, Vol. 1, No. 3, 2001, pp. 233–265.
9. Papageorgiou, M. Dynamic Modeling, Assignment, and Route Guidance in Traffic Networks. Transportation Research Part B: Methodological, Vol. 24, No. 6, 1990, pp. 471–495.
10. Furth, P. G., B. Cesme, and T. H. J. Muller. Lost Time and Cycle Length for Actuated Traffic Signal. In Transportation Research Record: Journal of the Transportation Research Board, No. 2128, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 152–160.
11. Lan, C. J. New Optimal Cycle Length Formulation for Pretimed Signals at Isolated Intersections. Journal of Transportation Engineering, Vol. 130, No. 5, 2004, pp. 637–647.
12. Lee, J., and B. M. Williams. Development and Evaluation of a Constrained Optimization Model for Traffic Signal Plan Transition. Transportation Research Part C: Emerging Technologies, Vol. 20, No. 1, 2012, pp. 185–198.
13. Allsop, R. E. Some Possibilities for Using Traffic Control to Influence Trip Distribution and Route Choice. Proc., 6th International Symposium on Transportation and Traffic Theory (D. J. Buckley, ed.), Elsevier, New York, 1974, pp. 345–373.
14. Abdelfatah, A. S., and H. S. Mahmassani. System Optimal Time-Dependent Path Assignment and Signal Timing in Traffic Network. In Transportation Research Record 1645, TRB, National Research Council, Washington, D.C., 1998, pp. 185–193.
15. Meneguzzer, C. Review of Models Combining Traffic Assignment and Signal Control. Journal of Transportation Engineering, Vol. 123, No. 2, 1997, pp. 148–155.
16. Gartner, N. H., and M. Al-Malik. Combined Model for Signal Control and Route Choice in Urban Traffic Networks. In Transportation Research Record 1554, TRB, National Research Council, Washington, D.C., 1996, pp. 27–35.
17. Gartner, N. H., and C. Stamatiadis. Integration of Dynamic Traffic Assignment with Real-Time Traffic Adaptive Control System. In Transportation Research Record 1644, TRB, National Research Council, Washington, D.C., 1998, pp. 150–156.
18. Smith, M. J., and M. Ghali. The Dynamics of Traffic Assignment and Traffic Control: A Theoretical Study. Transportation Research Part B: Methodological, Vol. 24, No. 6, 1990, pp. 409–422.
19. Lo, H. K. A Cell-Based Traffic Control Formulation: Strategies and Benefits of Dynamic Timing Plans. Transportation Science, Vol. 35, No. 2, 2001, pp. 148–164.
20. Ziliaskopoulos, A. K. A Linear Programming Model for the Single Destination System Optimum Dynamic Traffic Assignment Problem. Transportation Science, Vol. 34, No. 1, 2000, pp. 37–49.
21. Zhang, L., Y. Yin, and Y. Lou. Robust Signal Timing for Arterials Under Day-to-Day Demand Variations. In Transportation Research Record: Journal of the Transportation Research Board, No. 2192, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 156–166.
22. Abdelgawad, H., B. Abdulhai, and M. Wahba. Multiobjective Optimization for Multimodal Evacuation. In Transportation Research Record: Journal of the Transportation Research Board, No. 2196, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 21–33.
23. Kesur, K. B. Generating More Equitable Traffic Signal Timing Plans. In TransportationResearchRecord:JournaloftheTransportationResearch Board, No. 2192, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 108–115.
24. Kikuchi, S., and N. Kronprasert. Determining Lengths of Left-Turn Lanes at Signalized Intersections Under Different Left-Turn Signal Schemes. In Transportation Research Record: Journal of the Transportation Research Board, No. 2195, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 70–81.
25. Li, P., M. M. Abbas, R. Pasupathy, and L. Head. Simulation-Based Optimization of Maximum Green Setting Under Retrospective Approximation Framework. In Transportation Research Record: Journal of the Transportation Research Board, No. 2192, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 1–10.
26. Daganzo, C. F. The Cell Transmission Model: A Dynamic Representation of Highway Traffic Consistent with the Hydrodynamic Theory. Transportation Research Part B: Methodological, Vol. 28, No. 4, 1994, pp. 269–287.
27. Daganzo, C. F. The Cell Transmission Model, Part II: Network Traffic. Transportation Research Part B: Methodological, Vol. 29, No. 2, 1995, pp. 79–93.
28. Lighthill, M. J., and G. B. Whitham. On Kinematic Waves II: A Theory of Traffic Flow on Long Crowded Roads. Proceedings of the Royal Society of London, Series A: Mathematical and Physical Sciences, Vol. 229, No. 1178, 1955, pp. 317–345.
29. Richards, P. I. Shockwaves on the Highway. Operations Research, Vol. 4, No. 1, 1956, pp. 42–51.
30. Ukkusuri, S. V., and S. T. Waller. Linear Programming Models for the User and System Optimal Dynamic Network Design Problem: Formulations, Comparisons and Extensions. Networks and Spatial Economics, Vol. 8, No. 4, 2008, pp. 383–406.
31. Zheng, H., and Y.-C. Chiu. A Network Flow Algorithm for the Cell-Based Single-Destination System Optimal Dynamic Traffic Assignment Problem. Transportation Science, Vol. 45, No. 1, 2011, pp. 121–137.
32. Hunt, P. B., D. I. Robertson, R. D. Bretherton, and M. C. Royle. The SCOOT On-Line Traffic Signal Optimization Technique. Traffic Engineering and Control, Vol. 23, No. 4, 1982, pp. 190–192.
33. Robertson, D. I., and R. D. Bretherton. Optimizing Networks of Traffic Signals in Real Time—The SCOOT Method. IEEE Transactions on Vehicular Technology, Vol. 40, No. 1, 1991, pp. 11–15.
34. Mirchandani, P., and L. Head. A Real-Time Traffic Signal Control System: Architecture, Algorithms, and Analysis. Transportation Research Part C: Emerging Technologies, Vol. 9, No. 6, 2001, pp. 415–432.
35. Boillot, F., S. Midenet, and J.-C. Pierrelée. The Real-Time Urban Traffic Control System CRONOS: Algorithm and Experiments. Transportation Research Part C: Emerging Technologies, Vol. 14, No. 1, 2006, pp. 18–38.