Self-adaptive optimization for traffic flow model based on evolvable hardware

Authors:
Peng Ke;Yuanxiang Li;Xin Nie
Affiliations:
State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China,College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China;State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China;State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China
Venue:
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Year:
2012

Citing 2
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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.