Test bed for multiagent control systems in road traffic management

Transportation Research Record

Volumn , Issue 1910, 2005, Pages 108-115

  Van Katwijk, R T ^a   Van Koningsbruggen, P ^a   De Schutter, B ^b   Hellendoorn, J ^b  

^a TNO   (Netherlands)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONTROL SYSTEM ANALYSIS; HIGHWAY TRAFFIC CONTROL; PROBLEM SOLVING;

ROAD TRAFFIC MANAGEMENT;

MULTI AGENT SYSTEMS;

EID: 29044438984     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1910-13     Document Type: Conference Paper

References (32)

1. Choy, M. C., R. L. Cheu, D. Srinivasan, and F. Logi. Real-Time Coordinated Signal Control Through Use of Agents with Online Reinforcement Learning. In Transportation Research Record: Journal of the Transportation Research Board, No. 1836, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 64-75.
2. Ferreira, E. D., E. Subrahmanian, and D. Manstetten. Intelligent Agents in Decentralized Traffic Control. Proc., 4th International IEEE Intelligent Transportation Systems, Oakland, Calif., Aug. 25-29, 2001, pp. 707-711.
3. Findler, N. V., S. Surender, and Ş. Catavra. A Semi-Autonomous Decentralized System for Controlling Street Traffic Signals. Proc., 2nd International Symposium on Autonomous Decentralized Systems, IEEE, Phoenix, Ariz., April 25-27, 1995, pp. 377-383.
4. Irani, S., and V. Leung. Scheduling with Conflicts, and Applications to Traffic Signal Control. Proc., 7th Annual ACM-SIAM Symposium on Discrete Algorithms, Atlanta, Ga., Jan. 28-30, 1996, pp. 85-94.
5. Kosonen, I. Multi-Agent Fuzzy Signal Control Based on Real-Time Simulation. Transportation Research C, Vol. 11, 2003, pp. 389-403.
6. Lei, J., and Ü. Özgümer. Decentralized Hybrid Intersection Control. Proc., IEEE Decentralized Hybrid Intersection Control, Vol. 2, Dec. 2001, pp. 1237-1242.
7. van Katwijk, R. T., and P. van Koningsbruggen. Coordination of Traffic Management Instruments Using Agent Technology. Transportation Research C: Emerging Technologies, Vol. 10, No. 5-6, Oct.-Dec. 2002, pp. 455-471.
8. Xiaoming Liu and Xiaoyan Gong. Study of intersection traffic flow control on the basis of agents. Proc., IEEE Intelligent Transportation Systems (ITSC'03), Vol. 2, Oct. 2003, pages 1755-1758.
9. Hunt, P. B., D. I. Robertson, R. D. Bretherton, and R. I. Winton. SCOOT - A Traffic Responsive Method of Coordinating Signals. Technical Report 1014, TRL, http://www.trl.co.uk/1024/SEARCHPUBS.asp. 1981.
10. Gartner, N. H. OPAC: A Demand-Responsive Strategy for Traffic Signal Control. In Transportation Research Record No. 906, TRB, National Research Council, Washington, D.C., 1983, pp. 75-81.
11. Gartner, N. H., P. J. Tarnoff, and C. M. Andrews. Evaluation of Optimized Policies for Adaptive Control Strategy. In Transportation Research Record 1324, TRB, National Research Council, Washington, D.C., 1999, pp. 105-114.
12. C. Bielefeldt and F. Busch. Motion - A New On-Line Model for Urban Traffic Signal Control. Proc., 7th IFAC-IFORS Symposium on Transportation Systems: Theory and Applications of Advanced Technology, Tianjin, China, Aug. 24-26, 1994, pp. 603-607.
13. Hernández, J. J. Cuena, and M. Molina. Real-Time Traffic Management Through Knowledge-Based Models: The TRYS Approach. In ERUDIT Tutorial on Intelligent Traffic Management Models, Helsinki, Finland, 1999.
14. Lowrie, P. R. The Sidney Co-ordinated Adaptive Traffic System: Principles, Methodology, and Algorithms. Proc., International Conference on Road Traffic Signaling, London, 1982, pp. 67-70.
15. Mauro, V., and C. Di Taranto. Utopia. Proc., 2nd IFAC-IFIP-IFORS Symposium on Traffic Control and Transportation Systems, 1989, pp. 575-597.
16. Henry, J. J., J. L. Farges, and J. Tuffal. The PRODYN Real Time Traffic Algorithm. Proc., 4th IFAC - IFORS Conference on Control in Transportation Systems, Baden-Baden, Germany, 1983, pp. 307-312.
17. van den Bosch, A. T., and M. R. Menken. Multi-Agentsystemen en Verkeersbeheersing - De Ontwikkeling en Demonstratie van een Testbedomgeving. Technical Report 03-7N-109 (in Dutch). TNO, Delft, Netherlands. May 2003.
18. Foundation for Intelligent Physical Agents, www.fipa.org. 2003.
19. Botelho, L. A Control Structure for Agent Interaction. Proc., IEEE Intelligent Vehicles Symposium, Dearborn, Mich., Oct. 3-5, 2000, pp. 398-403.
20. Bellifemine, F., G. Caire, T. Trucco, and G. Rimassa. JADE Programmer's Guide. TILab S.p.A. July 2002. Sharon.cselt.it/projects/jade.
21. Cuena, J., J. Hernández, and M. Molina. Knowledge-Based Models for Adaptive Traffic Management Systems. Transportation Research C, Vol. 3, No. 5, Oct. 1995, pp. 311-337.
22. Krause, B., and C. von Altrock. A Complete Fuzzy Logic Control Approach for Existing Traffic Control Systems. Proc., 4th World Congress on Intelligent Transportation Systems, Berlin, Germany, Oct. 21-24, 1997.
23. Molina, M., J. Hernández, and J. Cuena. A Structure of Problem-Solving Methods for Real-Time Decision Support in Traffic Control. International Journal of Human-Computer Studies, Vol. 49, No. 4, Oct. 1998, pp. 577-600.
24. Ritchie, S. G. A Knowledge-Based Decision Support Architecture for Advanced Traffic Management. Transportation Research A, Vol. 24, No. 1, Jan. 1990, pp. 27-37.
25. Sadek, A. W., M. J. Demetsky, and B. L. Smith. Case-Based Reasoning for Real-Time Traffic Flow Management. Computer-Aided Civil and Infrastructure Engineering, Vol. 14, No. 5, Sept. 1999, pp. 347-356.
26. Zhang, H., and S. G. Ritchie. Real-Time Decision-Support System for Freeway Management and Control. Journal of Computing in Civil Engineering, Vol. 8, No. 1, 1994, pp. 35-51.
27. Taale, H. Optimising Traffic Signal Control with Evolutionary Algorithms. Proc., 7th World Congress on Intelligent Transport Systems, Turin, Italy, Nov. 6-9, 2000.
28. Friedman-Hill, E. Jess, the Expert System Shell for the Java Platform. herzberg.ca.sandia.gov/jess/. Accessed May 2003.
29. Cozman, F. G. Bayesian Networks in Java, www-2.cs.cmu.edu/~javabayes. Accessed May 2003.
30. Improta, G. Signal Control at Individual Junctions: Phase-Based Approach. In Concise Encyclopedia of Traffic and Transportation Systems (M. Papageorgiou, ed.), Pergamon Press, 1991, pp. 478-483.
31. Shelby, S. G. Single-Intersection Evaluation of Real-Time Adaptive Traffic Signal Control Algorithms. In Transportation Research Record: Journal of the Transportation Research Board, No. 1867, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 183-192.
32. Stallard, C., and L. E. Owen. Evaluating Adaptive Signal Control Using CORSIM. Proc., 1998 Winter Simulation Conference, www.informs-cs.org/wsc98papers/156.pdf.