Traffic simulation system based on fuzzy logic

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The advent of the intelligent transport systems has prompted traffic simulation to become one of the most used approaches for traffic analysis in support of the design and evaluation of traffic systems. The capability of traffic simulation to emulate the time variability of traffic events makes it a matchless facility for capturing the complexity of traffic systems. There are many researches which implement fuzzy but to specific traffic problems and there are many traffic simulation applications but with no support for fuzzy logic. This paper presents a simulation environment, designed for testing and evaluation of any fuzzy logic based traffic management system. The user could simulate any traffic isolated intersection or intersection network with multiple lanes. He could also specify input parameters, build fuzzy rules that control the traffic flow and simulate the model to monitor the efficiency of model by noticing the output parameters. A graphical user interface allows visualization of the simulation, including animation of vehicle movements. © 2012 Published by Elsevier B.V.




Taha, M. A., & Ibrahim, L. (2012). Traffic simulation system based on fuzzy logic. In Procedia Computer Science (Vol. 12, pp. 356–360). Elsevier B.V.

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