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The method of path optimization based on fuzzy dynamic path weight

机译:基于模糊动态路径权重的路径优化方法

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In order to meet the demands of dynamic path optimization for road-network real-time traffic information, the model of dynamic transportation network based on the fuzzy-genetic algorithm were constructed in this paper. Firstly, through the two-dimensional fuzzy design in the fuzzy logic toolbox of Matlab software, the real-time traffic flow parameters were transformed into crowdedness degree in the range of 0 to 1. Next, the dynamic network model was established by using graph theory. At last, the short circuit of driving scheme is generated after optimizing the dynamic network model using genetic algorithm. Taking the road information in Taiyuan as an example, the results show that the improved algorithm has the characteristics of good real time, dynamic and stability.
机译:为满足路网实时交通信息动态路径优化的需求,构建了基于模糊遗传算法的动态交通网络模型。首先通过Matlab软件的模糊逻辑工具箱中的二维模糊设计,将实时交通流参数转换为拥挤度,范围为0到1。其次,利用图论建立动态网络模型。 。最后,采用遗传算法对动态网络模型进行优化后,产生驱动方案短路。以太原市道路信息为例,结果表明改进算法具有实时性,动态性和稳定性好的特点。

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