Simulations of Traffic Control Managements on PM2.5 Emissions Reduction

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.