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考虑排放因素的城市交通信号配时建模
引用本文:饶倩,张轮,杨文臣.考虑排放因素的城市交通信号配时建模[J].北京理工大学学报,2013,33(S1):172-176.
作者姓名:饶倩  张轮  杨文臣
作者单位:同济大学 道路与交通工程教育部重点实验室, 上海 201804;同济大学 道路与交通工程教育部重点实验室, 上海 201804;同济大学 道路与交通工程教育部重点实验室, 上海 201804
基金项目:国家自然科学基金资助项目(50408034)
摘    要:针对传统交通信号控制方法忽视环境效益的不足,研究考虑排放因素的城市交叉口信号控制方法. 根据城市道路机动车行驶过程,考虑不同行驶工况下污染物排放特点,分别建立了城市道路污染物和标准污染物排放模型;分析了交通信号评价指标的相关性,选取面向排放因素的性能指标,并采用相对评价指标体系,建立考虑排放的交通信号的配时模型;利用基于黄金分割的改进粒子群算法对配时模型进行求解;在不同交通状态下,采用3种算法对实例进行大量的数值计算和仿真验证. 结果表明所设计的算法求解精度高,且提出的模型在降低排放、提高路口通量方面具有良好的控制效果.

关 键 词:智能交通  交通信号  排放模型  配时模型  改进粒子群算法
收稿时间:7/8/2013 12:00:00 AM

A Traffic Emission-Saving Signal Timing Model for Urban Isolated Intersections
RAO Qian,ZHANG Lun and YANG Wen-chen.A Traffic Emission-Saving Signal Timing Model for Urban Isolated Intersections[J].Journal of Beijing Institute of Technology(Natural Science Edition),2013,33(S1):172-176.
Authors:RAO Qian  ZHANG Lun and YANG Wen-chen
Institution:Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China;Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China;Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China
Abstract:As the traditional traffic signal timing models ignore traffic environment benefit, this paper presents an emission-saving signal timing model for urban intersection control. Firstly, the urban road pollutant emissions model and the criteria pollutant emissions model are established with the consideration of different statuses of vehicles on the road. Then, by analyzing the correlations among traffic signal evaluation indexes, the performance indicators are determined based on relative evaluation indexes to construct a new emission-saving timing model for traffic signal control. To solve the new model, an improved golden ratio-based particle swarm optimization (GRPSO) algorithm is applied. Finally, the traffic signal timing optimization case of an actual isolated intersection is computed by three kinds of algorithms, and simulated via VISSIM. The simulated results demonstrate that the improved GRPSO is effective, and the signal strategy by proposed method outperforms other algorithms for emission-saving traffic signal control.
Keywords:intelligent transportation  traffic signal  emission model  timing model  golden ratio-based partical swarm optimization (GRPSO)
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