Fuzzy Q-Learning-Based Multi-agent System for Intelligent Traffic Control by a Game Theory Approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/article/10.1007/s13369-017-3018-9/fulltext.html
Reference33 articles.
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3. Adler, J.L.; Satapathy, G.; Manikonda, V.; Bowles, B.; Blue, V.J.: A multi-agent approach to cooperative traffic management and route guidance. Transp. Res. Part B Methodol. 39(4), 297–318 (2005)
4. Akgungor, A.P.; Bullen, A.G.R.: Analytical delay models for signalized intersections. In: 69th ITE Annual Meeting, Nevada, USA (1999)
5. Alvarez, I.; Poznyak, A.; Malo, A.: Urban traffic control problem a game theory approach. In: 47th IEEE Conference on Decision and Control, pp. 2168–2172. IEEE (2008)
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