基于时空相关性的城市交通路网关键路段识别

关键路段通行能力的大小是决定城市道路交通是否畅通的重要因素之一.关键路段的识别为交通规划、居民出行等提供了重要的决策支撑,对缓解交通拥堵具有重要的意义.本文对城市路网关键路段的识别进行了研究.首先建立了适用于交通路网的空间邻接矩阵;其次以时空相关函数表达不同时间延迟下路段与周边相邻路段交通状态之间的影响程度,并将其作为路段重要性的衡量指标,构建了逼近于理想点的路段重要性度量模型,通过排序实现了对关键路段的识别;最后将模型应用于北京市区域路网,结果证明,该方法能够有效地识别路网的关键路段,具有实用性和可行性.

Identification of Critical Section in Urban Traffic Road Network Based on Space-time Correlation

The capacity of critical section is one of the important reasons for leading to urban road traffic congestion. The identification of critical section provides important decision supports for traffic planning, travel services and so on. It has great significance to alleviate traffic congestion. This paper investigates the identification method of critical section in urban road network. According to the characteristic of traffic flow, the spatial adjacency matrix is established for road network. Then space- time correlation is proposed to explain the strength of influence between section and its neighbors under different time delays. Taking the strength of influence as a measure of section importance, the importance measurement model is constructed using technique for order preference by similarity to an ideal solution. At last, the proposed model is applied in a subset of Beijing’s road network, and the results show that the model is practical and feasible, and can identify critical section in urban road network effectively.