AN OPTIMIZATION-BASED APPROACH TO SPECIAL-EVENTS TRAFFIC SIGNAL TIMING CONTROL

J.-S. Yang

References

  1. [1] B. McMillin & K. Sanford, Automated highway systems, IEEE Potential, October/November, 1998, 7–11. doi:10.1109/45.721725
  2. [2] D.A. Haver & P.J. Tarnoff, Future directions for traffic management systems, IEEE Trans. Vehicular Technology, 40 (1), 1991, 4–10. doi:10.1109/25.69965
  3. [3] A. Skabardonis & A.D. May, Comparative analysis of computer models for arterial signal timing, Transportation Research Record, 1021, TRB, National Research Council, Washington, DC, 1985, 45–52.
  4. [4] W.S. Homburger & J.H. Kell, Fundamentals of traffic engineering (ITS, University of California, Berkeley, 1984).
  5. [5] Workshop on adaptive traffic signal control systems, TRB Signal Systems Committee-A3A18, 80th TRB Annual Meeting, Washington, DC, January 7, 2001.
  6. [6] N.H. Gartner, OPAC: A demand-responsive strategy for traffic signal control, Transportation Research Record, 906, TRB, National Research Council, Washington, DC, 1984, 75–81.
  7. [7] D.I. Robertson & R.D. Bretherton, Optimizing networks of traffic signals in real time: The SCOOT method, IEEE Trans. Vehicular Technology, 40, 1991, 11–15. doi:10.1109/25.69966
  8. [8] D.I. Robertson, Research on the TRANSYT and SCOOT methods of signal coordination, ITE Journal, January 1986, 36–40.
  9. [9] P.R. Lowrie, The Sydney coordinated adaptive traffic system: Principles, methodology, algorithms, Int. Conf. on Road Traffic Signaling, England, 207, March 1982, 67–70.
  10. [10] M. Dougherty, H. Kirby, & R. Boyle, The use of neural networks to recognize and predict traffic congestion, Traffic Engineering and Control, 1993, 1, 311–314.
  11. [11] T. Nataksuji & T. Kaku, Development of a self-organizing traffic control system using neural network models, Transportation Research Record, 1324, TRB, National Research Council, Washington, DC, 1991, 137–145.
  12. [12] R. Kelsey & K.R. Bisset, Simulation of traffic flow and control using fuzzy and conventional method, in M. Jamshidi (ed.), Fuzzy logic and control (Englewood Cliffs, NJ: Prentice-Hall, 1993).
  13. [13] J.C. Spall, Multivariate stochastic approximation using a simultaneous perturbation gradient approximation, IEEE Trans. Automatic Control, 37 (3), 1992, 332–341. doi:10.1109/9.119632
  14. [14] J.C. Spall, Introduction to stochastic search and optimization, estimation, simulation, and control (Hoboken, NJ: Wiley, 2003).
  15. [15] Synchro 6.0 user guide (Albany, CA: Trafficware Corporation, 2003).
  16. [16] Mn/DOT traffic signal timing and coordination manual (St. Paul, MN: Mn/DOT Office of Traffic Engineering and Intelligent Transportation Systems, June 2002).
  17. [17] D.C. Chin, Comparative study of stochastic algorithms for system optimization based on gradient approximations, IEEE Trans. Systems, Man, and Cybernetics, 27 (2), 1997, 244–249. doi:10.1109/3477.558808
  18. [18] H. Robbins & S. Monro, A stochastic approximation method, Annals of Mathematical Statistics, 29, 1951, 400–407. doi:10.1214/aoms/1177729586
  19. [19] J.C. Spall & D.C. Chin, A model-free approach to optimal signal light timing for system-wide traffic control, Proc. 33rd IEEE Conf. on Decision and Control, Lake Buena Vista, FL, 1994, 1868–1875.
  20. [20] J.C. Spall & J.A. Cristion, Neural networks for control of uncertain systems, Proc. Test Technology Symp. IV (sponsored by U.S. Army Test and Command), Rockwell, MD, 1991, 575–588.
  21. [21] J.C. Spall & J.A. Cristion, Direct adaptive control of nonlinear systems using neural networks and stochastic approximation, Proc. 31st IEEE Conf. on Decision and Control, Tucson, AZ, 1992, 878–883.
  22. [22] D.C. Chin, J. Spall, & R.H. Smith, Evaluation of system-wide traffic signal control using stochastic optimization and neural networks, Proc. 1999 American Control Conf., San Diego, CA, 1999, 2188–2194. doi:10.1109/ACC.1999.786341
  23. [23] D.C. Chin, A traffic flow simulator for traffic signal control, Proc. 1997 Summer Computer Simulation Conf., Arlington, VA, 1997, 139–144.
  24. [24] J.-S. Yang, Duluth Entertainment Convention Center (DECC) special event traffic flow study – Traffic data analysis and signal timing coordination, Final Report (CTS-04-08), Center for Transportation Studies, University of Minnesota, Minneapolis, MN 55455.

Important Links:

Go Back