Re-routing Agents in an Abstract Traffic Scenario-Reference-Cited by-同舟云学术

Re-routing Agents in an Abstract Traffic Scenario

Published:2008 Issue: Volume: Page:63-72
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Bazzan Ana L. C.,Klügl Franziska

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-88190-2_12

Reference12 articles.

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

2. Lecture Notes in Artificial Intelligence;A.L.C. Bazzan,2008

3. Bazzan, A.L.C., Klügl, F.: Case studies on the Braess paradox: simulating route recommendation and learning in abstract and microscopic models. Transportation Research C 13(4), 299–319 (2005)

4. Lecture Notes in Artificial Intelligence;A.L.C. Bazzan,2007

5. Dia, H., Panwai, S.: Modelling drivers’ compliance and route choice behaviour in response to travel information. Special issue on Modelling and Control of Intelligent Transportation Systems, Journal of Nonlinear Dynamics 49(4), 493–509 (2007)

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