Traffic-responsive signal timing for system-wide traffic control

Transportation Research Part C: Emerging Technologies

Volumn 5, Issue 3-4, 1997, Pages 153-163

  Spall, James C ^a   Chin, Daniel C ^a  

^a JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY   (United States)

Author keywords

Adaptive control; Neural networks; Simultaneous perturbation stochastic approximation (SPSA); Traffic signal timing; Transportation systems

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ALGORITHMS; APPROXIMATION THEORY; INTERSECTIONS; NEURAL NETWORKS; PERTURBATION TECHNIQUES; PROBLEM SOLVING; RANDOM PROCESSES; STRATEGIC PLANNING; TRAFFIC SIGNALS;

SIMULTANEOUS PERTURBATION STOCHASTIC APPROXIMATION (SPSA) ALGORITHM;

STREET TRAFFIC CONTROL;

EID: 0345880144     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0968-090X(97)00012-0     Document Type: Article

References (25)

1. Chin, D. C. (1993) Performance of several stochastic approximation algorithms in the multivariate Kiefer-Wolfowitz setting. Proc. of the 25th Symp. on the Interface: Computing Science and Statistics, pp. 289-295.
2. Chin, D. C. (1997) Comparative study of several stochastic approximation algorithms for system optimization based on gradient approximations. IEEE Transactions on Systems, Man, and Cybernetics 27, 244-249.
3. Chin, D. C. and Smith, R. H. (1994) A traffic simulation for mid-manhattan with model-free adaptive signal control. Proc. of the 1994 Summer Computer Simulation Conf., pp. 296-301. San Diego, CA.
4. Dell'Olmo, P. and Mirchandani, P. (1995) An approach for real-time coordination of traffic flows on networks. Transportation Research Board Annual Meeting, Paper no. 950837. Washington, DC.
5. DeSanto, R. (1996) Operations and Maintenance of Traffic Control Systems. Technical report: RDS Assoc., Rocky Hill, CT 06067, U.S.A.
6. Funahashi, K. I. (1989) On the approximate realization of continuous mapping by neural networks. Neural Nets. 2, 183-192.
7. Gartner, N. H., Tarnoff, P. J. and Andrews, C. M. (1991) Evaluation of optimized policies for adaptive control strategy. Transportation Research Record 1324, pp. 105-114.
8. Hunt, P. B., Robertson, D. I., Bretherton, R. D. and Winton, R. I. (1981) SCOOT - a traffic responsive method of coordinating signals. Transport and Road Research Lab., Crowthorne, U.K.
9. Kelsey, R. L. and Bisset, K. R. (1993) Simulation of traffic flow and control using fuzzy and conventional methods. Fuzzy Logic and Control, eds M. Jamshidi et al., Ch. 12. Prentice Hall, Englewood Cliffs, NJ.
10. Martin, P. J. and Hockaday, S. L. (1995) SCOOT - an update. ITE Journal, pp. 44-48.
11. Messmer, A. and Papageorgiou, M. (1994) Automatic control methods applied to freeway network traffic. Automatica 30, 691-702.
12. Nataksuji, T. and Kaku, T. (1991) Development of a self-organizing traffic control system using neural network models. Transportation Research Record 1324, pp. 137-145.
13. Newell, G. F. (1989) Theory of Highway Traffic Signals. Institute of Transportation Studies, University of California, Berkeley.
14. Papageorgiou, M. (1990) Dynamic modeling, assignment, and route guidance in traffic networks. Transportation Research-B 24B, 471-495.
15. Papageorgiou, M., Messmer, A., Azema, J. and Drewauz, D. (1995) A neural network approach to freeway network traffic control. Control Engineering Practice 3, 1719-1726.
16. Rathi, A. K. (1988) A control scheme for high traffic density sectors. Transportation Research-B 22B, 88-101.
17. Ritchie, S. G. (1990) A knowledge-based decision support architecture for advanced traffic management. Transportation Research-A 24A, 27-37.
18. Rowe, E. (1991) The Los Angeles automatic traffic surveillance and control system. IEEE Transactions on Vehicular Tech. 40, 16-20.
19. Santiago, A. J. and Smith, S. E. (1991) Evaluation of the highway capacity manual procedure for signal design. ITE 1991 Compendium of Technical Papers, pp. 239-243.
20. Spall, J. C. (1992) Multivariate stochastic approximation using a simultaneous perturbation gradient approximation. IEEE Transactions on Automatic Control 37, 332-341.
21. Spall, J. C. and Cristion, J. A. (1994) Nonlinear adaptive control using neural networks: estimation with a smoothed simultaneous perturbation gradient approximation. Statistica Sinica 4, 1-27.
22. Spall, J. C. and Cristion, J. A. (1995) Model-free control of nonlinear stochastic systems in discrete time. Proc. of the IEEE Conf. on Decision and Control, pp. 2199-2204.
23. Spall, J. C. and Cristion, J. A. (1997) A neural network controller for systems with unmodeled dynamics with applications to wastewater treatment. IEEE Transactions on Systems, Man, and Cybemetics-B 27, 369-375.
24. U.S. Dept. of Transportation (1991) Transyt-7F User's Guide (Methodology for Optimizing Signal Timing, MOST Vol. 4).
25. U.S. Dept. of Transportation (1995) Intelligent Transportation System (ITS) Projects, Publication no. FHWA-JPO-95-001.