Abstract
In this paper, we describe the design of an intelligent traffic light control based on genetic algorithm. This paper is part of our work in which we attempt to use genetic algorithm in traffic light control and pedestrian crossing. In our approach, we use four sensors; each sensor calculates the vehicle density for each lane. We developed an algorithm to simulate the situation of an isolated intersection (four lanes) based on this technology. We then compare the performance between the genetic algorithm controller and a conventional fixed time controller.
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References
Pappis, C.P., Mamdani, E.H.: A Fuzzy Logic Controller for a Traffic Junction. IEEE Transactions Systems, Man, and Cybernetics SMC-7(10), 707–717 (1977)
Tan, K.K., Khalid, M., Yusof, R.: Intelligent Traffic Lights Control by Fuzzy Logic. Malaysian Journal of Computer Science 9(2), 29–35 (1996)
Niittymaki, J., Kikuchi, S.: Application of Fuzzy Logic to the Control of a Pedestrian Crossing Signal. Transportation Research Record: Journal of the Transportation Research Board 1651, 30–38 (1998)
Chen, L.L., May, A.D., Auslander, D.M.: Freeway Ramp Control Using Fuzzy Set Theory for Inexact Reasoning. Transportation Research, Part A 24(1), 15–25 (1990)
Choi, W., Yoon, H., Kim, K., Chung, I., Lee, S.: A traffic light controlling FLC considering. In: Pal, N., Sugeno, M. (eds.) AFSS 2002. LNCS, vol. 2275, pp. 69–75. Springer, Heidelberg (2002)
Conde, C., Pérez, J., González, P., Silva, J., Cabello, E., Monclús, J., Santa Cecilia, T.: A Conflict-Avoiding, Artificial Vision Based, Intelligent Traffic Light Controller
Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. J. Phys. (1-2), 2221–2229 (1992)
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© 2009 Springer-Verlag Berlin Heidelberg
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Turky, A.M., Ahmad, M.S., Yusoff, M.Z.M., Sabar, N.R. (2009). Genetic Algorithm Application for Traffic Light Control. In: Yang, J., Ginige, A., Mayr, H.C., Kutsche, RD. (eds) Information Systems: Modeling, Development, and Integration. UNISCON 2009. Lecture Notes in Business Information Processing, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01112-2_12
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DOI: https://doi.org/10.1007/978-3-642-01112-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01111-5
Online ISBN: 978-3-642-01112-2
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