基于演化硬件的交通流模型自适应优化

BML模型是用于研究城市路网结构中交通流特征的细胞自动机模型。基于软件的模拟及演化优化方式存在着运算效率低、优化速度慢等缺陷,极大地限制了交通流模型的实时应用能力。针对这一问题,提出将演化硬件与细胞自动机相结合,实现交通流模型的在线演化。同时对I3ML模型进行了改进,以便能够依据现实车流状况进行交通灯信号的自适应调节。实验结果表明,将演化硬件技术用于交通流模型的自适应优化,对于研制智能交通系统是一种可行的途径。

Self-adaptive Optimization for Traffic Flow Model Based on Evolvable Hardware

BML model is a kind of cellular automata model used to simulate and analyze the traffic system in the road network structure. hhe simulation and evolutionary optimization of the model implemented by software arc optimized slowly and very low efficiently, so that it limits 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 presented 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 evolvablc hardware was proved to be very useful and can meet the needs in the research and design of intelligent traffic system.