基于ARRB模型的交叉口多目标信号配时优化研究

Multi-objective Optimization Research on Intersection Signal Timing Based on ARRB Model

城市交叉口交通拥堵和机动车尾气排放是近年来城市发展面临的重要问题,而信号配时优化是提高城市交通运行效率、缓解车辆因频繁起停而加剧尾气排放的有效手段之一。本文基于ARRB模型下的信号配时设计方法,综合考虑效率与环境的双重目标,研究不同停车次数惩罚系数下的信号配时方案。同时,以成都市某大型十字交叉口为验证实例,结合VISSIM计算仿真,分析了交通延误、停车次数与排放、油耗的影响关系,继而得到了综合最优的停车次数惩罚因子与配时方案。该方案使延误和停车次数平均提高了36.4%,排放及油耗平均降低了19.4%。

Traffic congestion and vehicular exhausts in urban intersections are significant problems faced in the city development process.Signal timing optimization is one of the effective methods for improving traffic efficiency and reducing vehicular pollutions aggravated by frequent stop-and-go operational behaviors.Based on the Australian Road Research Board(ARRB)signal timing method,this study investigates signal timing schemes under different stop penalties considering both traffic efficiency and environment performance.A typical intersection in Chengdu is chosen as a verification example.VISSIM is applied to perform the calculations and the simulations.In this manner,the inter-relationship of traffic delay,stops,vehicular emissions,and fuel consumptions is fully analyzed.Moreover,the optimal stop penalty and the signal timing scheme are finally determined.This optimal scheme leads to 36.4%traffic efficiency improvement and 19.4%reduction of emissions and fuel consumptions.