Abstract
BML model is a kind of cellular automata model, which is used to simulate and analyze the traffic system in the road network structure. The simulation and evolutionary optimization of the model implemented by software are optimized slowly and very low efficiently, so that it limited the ability enormously of traffic flow model to be used in some high real-time and high-speed occasion. In view of this question, we present the architecture of an EHW-based cellular automata model, a cellular automata model implemented in Evolvable Hardware platform and intended for the on-line evolution of the traffic flow model. And then it can adjust the rule of the traffic light signal according to the real-time state of traffic flow. After a careful analysis of the comparison result, the self-adaptive optimization for traffic flow model based on Evolvable Hardware is proved to be very useful and can meet the needs in the research and design of intelligent traffic system.
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© 2012 Springer-Verlag Berlin Heidelberg
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Ke, P., Li, Y., Nie, X. (2012). Self-adaptive Optimization for Traffic Flow Model Based on Evolvable Hardware. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Artificial Intelligence and Computational Intelligence. AICI 2012. Lecture Notes in Computer Science(), vol 7530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33478-8_32
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DOI: https://doi.org/10.1007/978-3-642-33478-8_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33477-1
Online ISBN: 978-3-642-33478-8
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