基于模糊感知阻抗的交通分配研究

Research on Traffic Assignment Based on Fuzzy Perceptual Impedance

针对城市道路交通拥堵现状和驾驶员对于路段认知偏差的现象,从驾驶员对于路段阻抗认知的问题着手.考虑道路交通阻抗的主要影响因素,包括交通流特性和附加的模糊感知阻抗,通过模糊聚类分析,同时考虑了感知行程时间、路段重要度和路段流量等因素,将路段的感知阻抗划分成不同等级,建立新的路阻函数模型.通过路网算例,将使用原始阻抗函数分配和改进后的阻抗函数分配结果进行对比.实验结果显示,改进后的分配结果能够反映出驾驶员对路段阻抗的模糊感知,较好地反映城市道路网中的拥挤路段,并为交通规划与管理工作提供更加合理的路网交通分配评价结果.

In view of the current situation of urban road traffic congestion and the phenomenon of drivers' cognitive bias towards road sections, starting from the problem of drivers' cognition towards road section impedance, the main influencing factors of road traffic impedance were considered, including traffic flow characteristics and additional fuzzy perceived impedance. Through fuzzy clustering analysis, considering factors such as perceived travel time, road segment importance and road segment flow, the perceived impedance of road segments was divided into different grades, and a new road resistance function model was established. Finally, through the road network example, the distribution results of the original impedance function and the improved impedance function were compared. The experimental results show that the improved distribution results can reflect drivers' fuzzy perception of road section impedance, better reflect the crowded road sections in the urban road network, which provides more reasonable road network traffic distribution evaluation results for traffic planning and management.