System Optimal Time-Dependent Path Assignment and Signal Timing in Traffic Network
Abstract
Optimization of system performance in congested traffic networks is one of the main goals of intelligent transportation systems. A formulation and solution algorithm for the combined signal control and dynamic traffic assignment problem is presented. The solution algorithm is implemented and tested on an actual network, illustrating the benefits that could be attained through joint optimization of signal control and route guidance decisions.
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References
1. Smith M. J. The Existence, Uniqueness and Stability of Traffic Equilibria. Transportation Research 13B, 1979, pp. 295–304.
2. Smith M. J. The Existence of an Equilibrium Solution to the Traffic Assignment Problem When There Are Junction Interactions. Transportation Research 15B, 1981, pp. 443–451.
3. Smith M. J. A Local Traffic Control Policy which Maximizes the Overall Travel Capacity of an Urban Road Network. Traffic Engineering and Control, 1980, pp. 298–302.
4. Smith M. J. Properties of a Traffic Control Policy which Ensure the Existence of a Traffic Equilibrium Consistent with the Policy. Transportation Research 15B, 1981, pp. 453–462.
5. Van Vuren T., Smith M. J., and Vliet D. V. Interaction Between Signal-Setting Optimization and Reassignment: Background and Preliminary Results. In Transportation Research Record 1142, TRB, National Research Council, Washington, D.C., 1988, pp. 16–21.
6. Smith M. J., Van Vuren T., Heydecher B. G., and Vliet D. V. The Interaction Between Signal Control Policies and Route Choice. Presented at 10th International Symposium on Transportation and Traffic Theory. Elsevier, New York, 1987.
7. Wardrop J. G. Some Theoretical Aspects of Road Traffic Research. Proc., Institute of Civil Engineers, Part II, 1952, pp. 325–378.
8. Allsop R. E. Some Possibilities for Using Traffic Control to Influence Trip Distribution and Route Choice. Presented at 6th International Symposium on Transportation and Traffic Theory, Sydney, Australia, 1974.
9. Charlesworth J. A. The Calculation of Mutually Consistent Signal-Settings and Traffic Assignment for a Signal Controlled Network. Presented at 7th International Symposium on Transportation and Traffic Theory, Kyoto, Japan, 1977.
10. Dickson T. J. A Note on Traffic Assignment and Signal Timing in a Signal-Controlled Road Network. Transportation Research 15B, 1981, pp. 267–271.
11. Sheffi Y., and Powell W. B. Optimal Signal Setting over Transportation Networks. Journal of Transportation Engineering, Vol. 109, 1983, pp. 824–839.
12. Gartner N. H., and Al-Malik M. Combined Model for Signal Control and Route Choice in Urban Networks. In Transportation Research Record 1554, TRB, National Research Council, Washington, D.C., 1996, pp. 27–35.
13. Smith M. J., and Ghali M. O. The Dynamics of Traffic Assignment and Traffic Control: A Theoretical Study. Transportation Research 24B, 1990, pp. 409–422.
14. Smith M. J., and Ghali M. O. Dynamic Traffic Assignment and Dynamic Traffic Control. Presented at 11th International Symposium on Traffic and Transportation Theory. Yokohama, Japan, 1990.
15. Ghali M. O., and Smith M. J. Traffic Assignment, Traffic Control and Road Pricing. Proc., 12th International Symposium on Theory of Traffic Flow and Transportation, California, 1993.
16. Smith M. J., and Van Vuren T. Traffic Equilibrium with Responsive Traffic Control. Transportation Science, Vol. 27, No. 2, 1993, pp. 118–132.
17. Gartner N. H., and Stamatiadis C. Integration of Dynamic Traffic Assignment with Real-Time Traffic Adaptive Control. Presented at 76th Annual Meeting of the Transportation Research Board, Washington, D.C., 1997.
18. Mahmassani H. S., and Peeta S. System Optimal Dynamic Assignment for Electronic Route Guidance in Congested Traffic Networks. Proc., 2nd International Capri Seminar on Urban Traffic Networks, 1992.
19. Webster F. V. Traffic Signal Settings. Road Research Technical Paper 39, HMSO, London, 1958.
20. Hooke R., and Jeeves T. A. Direct Search Solution of Numerical and Statistical Problems. J. Ass. Comp., 1961, pp. 212–229.
21. Hawas Y. E., and Mahmassani H. S. Comparative Analysis of Robustness of Centralized and Distributed Network Route Control Systems in Incident Situations. In Transportation Research Record 1537, TRB, National Research Council, Washington, D.C., 1996, pp. 83–90.
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Article first published: January 1998
Issue published: January 1998
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