Simulations of Traffic Control Managements on PM2.5 Emissions Reduction

2019 5th International Conference on Transportation Information and Safety (ICTIS) Pub Date : 2019-07-01 DOI:10.1109/ICTIS.2019.8883601

Yuhong Chen, Chaozhe Jiang, Chao Wen, Hao Wu, Youhua Tang

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引用次数: 1

Abstract

Particulate matter 2.5 (PM2.5) produced by vehicles has been an important factor affecting the lives of people in China. Joint simulations of two types of traffic control managements (TCMs) were performed using VISSIM, MOVES, and Synchro to investigate the mechanism of PM2.5 emission reduction through TCMs. After localizing the parameters of simulation tools based on the observations of a typical urban road network in Chengdu, the managements of traffic signal control (TSC), volunteering car share (VCS), and the combinatorial method of TSC and VCS were studied. The simulation results revealed that TCMs can considerably improve vehicle behavioral characteristics in intersections, arterial roads, and networks. The trends of decrease in delays, and increase in average speed of vehicles were indicated by the simulation results as well. The better performance of TSC compared to VCS suggested that the PM2.5 emissions control can be realized effectively by traditional traffic signal control methods and a new mode of travel in sharing business.

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交通管制管理对减少PM2.5排放的模拟

在中国，汽车产生的颗粒物2.5 (PM2.5)一直是影响人们生活的重要因素。利用VISSIM、MOVES和Synchro对两种交通控制管理模式进行联合模拟，探讨交通控制对PM2.5减排的作用机制。以成都市典型城市路网为研究对象，对仿真工具的参数进行了定位，研究了交通信号控制(TSC)、志愿汽车共享(VCS)的管理，以及TSC和VCS的组合方法。仿真结果表明，tcm可以显著改善交叉口、主干道和网络中的车辆行为特征。仿真结果还显示了车辆延迟减少和平均速度增加的趋势。TSC的性能优于VCS，说明通过传统的交通信号控制方式和共享业务的新型出行方式，可以有效实现PM2.5的排放控制。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 5th International Conference on Transportation Information and Safety (ICTIS)

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