文章基本信息

标题：A Traffic Emission-saving Signal Timing Model for Urban Isolated Intersections
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作者：Rao Qian ; Rao Qian ; Zhang Lun 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2013
卷号：96
页码：2404-2413
DOI：10.1016/j.sbspro.2013.08.269
语种：English
出版社：Elsevier
摘要：AbstractIn the light that traditional traffic signal timing models consider vehicle's traffic efficiency and management benefit, thus ignoring traffic environmental benefit, a traffic emission-saving traffic signal timing model for urban isolated intersections is presented. Firstly, with different statuses of vehicles on the road, for example moving with a constant speed, slowing down speed, idling speed or an increasing speed, there are different kinds of degree of contamination. Based on which the urban road pollutant emissions model, and the criteria pollutant emissions model are established. Secondly, in order to analyze the dependence of the traffic signal evaluation indexes, the qualitative analysis and the quantitative analysis based on the numerical statistics are adapted. Also, based on the selecting principle of evaluation index, selected performance indicators for the emission factors, and taken them into consideration while establishing the traffic signal timing model based on relative evaluation index system. Then, an improved real-coded genetic algorithm to solve the traffic signal timing model is presented. Lastly, the three algorithms are proved by a great deal of numerical calculation. The result shows that the presented algorithm has a high precision while solving the models, and has a very good effect on reducing emissions and the efficient of controlling the traffic roads.
关键词：Intelligent transportation;Traffic signal;Emission model;Timing model;Genetic Algorithm