Opportunities for multiagent systems and multiagent reinforcement learning in traffic control

Author:

Bazzan Ana L. C.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference92 articles.

1. Balan G. and Luke S. (2006). History-based traffic control. In: Nakashima, H., Wellman, M.P., Weiss, G. and Stone, P. (eds) Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems, pp 616–621. ACM Press, New York

2. Balmer, M., Cetin, N., Nagel, K., & Raney, B. (2004). Towards truly agent-based traffic and mobility simulations. In N. Jennings, C. Sierra, L. Sonenberg, & M. Tambe (Eds.), Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multi Agent Systems, AAMAS, July 2004 (Vol. 1, pp. 60–67). New York: IEEE Computer Society.

3. Bazzan, A. L. C. (1995). A game-theoretic approach to distributed control of traffic signals. In Proceedings of the 1st International Conference on Multi-Agent Systems (ICMAS) (p. 439, extended abstract). San Francisco.

4. Bazzan, A. L. C. (1997). An evolutionary game-theoretic approach for coordination of traffic signal agents. PhD thesis, University of Karlsruhe.

5. Bazzan A.L.C. (2005). A distributed approach for coordination of traffic signal agents. Autonomous Agents and Multiagent Systems 10(1): 131–164

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