网联环境下基于可选相位优化框架的公交信号优先

Transit Signal Priority Based on Optional Phase Optimization Framework in Connected Vehicle Environment

摘要:

提出了面向公交信号优先（TSP）的可选相位优化框架，并开发了实时公交信号优先算法。对双环相位结构进行改进，通过加入数个可选公交相位组成多种相位配置场景，可融合相位的重现、调换和插入等多种调整功能，实现绿灯时间、周期和相序同时优化。建立混合整数线性规划模型，设计基础配时偏差线性化表征社会车效益，降低计算复杂度。案例研究显示，提出的算法与主动优先相比，公交的延误和停车次数分别降低33.1%和15.1%，社会车方面分别降低17.7%和12.6%。

Abstract:

An optional phase optimization framework for transit signal priority （TSP） was proposed and a real-time TSP algorithm was developed. Dual-ring phase structure was improved by adding optional transit phases for multiple phase settings to integrate phase repetition， reverse and insertion and other functions. Hence， the green times，cycle length and phase sequence can be optimized simultaneously. A mixed integer linear programming signal control optimization model was built， using the deviation of background signal timings as vehicle loss function， which was linearly designed and computationally cost-effective. Results of a case study show that compared with the active TSP algorithm， the proposed algorithm reduces transit delay and stops by 33.1% and 15.1% respectively， and vehicle delay and stops by 17.7% and 12.6% respectively.