Research On The Simulation And Optimization Of Signal Control At The Intersections Based On PM_2.5 Emission Analysis

Since 1980s, China’s urbanization process has been developing quite fast and air pollution problems also begin to emerge with the rapid growth of national economy. Nowadays, our country’s air pollution has changed from the traditional patterns, such as total suspended particulate matter and respirable particulate matter, into compound formations ofPM2.5 and pollution gases (ozone, sulfur dioxide, nitrogen oxides). PM2.5 has become China’s primary air pollutants and is also the main bottleneck of improving air quality. Its prevention and management has become a key scientific research problem both home and abroad. It is also a hot social problem that influences public life and production. In most cities, vehicle exhaust emission has been identified as an important source of PM2.5 pollution. Thus, researchers home and broad have been focusing their researches on how to reduce the vehicle’s PM2.5 emission.Intersection sare the key points of urban road traffic networks and vehicles there have a more complex running state and emit more PM2.5. In order to understand the characteristics of vehicle’sPM2.semission and how traffic regulation and controls impact PM2.5 emission sat the intersections, MOVES model is chosen in this paper after compared with several relatively mature vehicle exhaust emission models.MOVES model is suitable for microscopic simulation of exhaust emissions. Then, based on the related parameters of PM2.5 emissions from vehicles in Chengdu City, the localized parameters are set in the model. Through coupling VIS SIM model and MOVES model, a simulation plat form on vehicles’ PM2.5 emissions at the intersections is established. The model is verified by the local parameters. The sensitivity analysis PM2.5 influence factors shows that the fuel, speed have a great impact on vehicle’s PM2.5 emission in intersections.By using the improved V-M model, a variety of traffic regulation and control strategies, such as signal control and intersection channelization, are simulated and analyzed to understand their impact on PM2.5 emissions at the intersections.