基于路径的信号控制交叉口关联度计算模型

Incidence Degree Model of Intersection Group Signals Based on Routes

摘要:

城市道路交叉口间的关联度是判定两交叉口间是否需要协调控制和分析交叉口群交通状态演变规律的关键参数。本文首先分析了传统基于路段进行关联度计算模型的局限，在此基础上，建立了综合考虑交叉口信号相位、路径流量不均匀性、交叉口间距和交叉口排队的路径关联度模型。随后针对两个实际的信号控制交叉口，进行了关联度计算和协调控制关键路径判断的算例分析；对比研究了本文模型与路段关联度模型的性能，分析了交叉口间距、排队、车道数和信号相位等对交叉口路径关联度的影响。算例分析结果表明本文提出的路径关联度模型能更确切地描述交叉口间的关联性，并能够准确判定交叉口间协调控制的关键路径。

Abstract:

Incidence degree of adjacent intersections is the key parameter to analyze the traffic condition and design the coordination plan of intersections group. Firstly, the shortcomings of traditional link-based incidence degree model were analyzed. Secondly, a route-based incidence model was built. In the proposed route-based model, not only distance between intersections but also signal phases, route volume distribution and queue at approaches were considered. Finally, a case study, including two intersections is given. The performance of traditional link-based incidence model and proposed route-based incidence model were compared. The impacts of distance between intersections, queues, number of lanes and number of signal phases were analyzed. The results show that the proposed route-based incidence model has the ability to descript the real relationship of adjunct intersections and find the key route for signal coordination.