Estimation Of Emission At Signalized Intersection With Vehicle To Infrastructure Communication

With the rapid growth of motor vehicle ownership and traffic volume, traffic congestion and air pollution become more and more serious in recent years. Traffic flow with complex traffic components from different directions converge at signalized intersections. Drivers often make unnecessary accelerations and decelerations in response to the signal changes, which causes longer travel time, more complex driving modes, and increased emissions. Vehicle to Infrastructure (V2I) communication has become advanced technology and hot spot in the field of Intelligent Traffic System (ITS) nowadays. Unnecessary accelerations, decelerations, and emissions can be decreased by the guidance with V2I communication. There are some urgent issues to tackle, such as how the V2I communication influences driving behaviours, driving modes, and emissions as well as how to quantize the influence of V2I communication on emissions.The thesis focuses on developing a method of emission estimation at signalized intersections with V2I communication, which will provide the new thinking of emission estimation at signalized intersections with V2I communication.Firstly, driving behaviors at signalized intersctions with V2I communication were analyzed and factors influencing driving behaviors were determined through the results of stated preference survey. The Logistic model was chosen to quantify the impact of the fators on driver’s choice about whether following the guidance. Then, VISSIM simulation platform was developed and calibrated by the data from field survey. In the simulation platform, vehicles can be controlled by program developed with VB 6.0 and VISSIM-COM according to the speed guidance strategy. The operating mode data obtained from simulation platform showed that the average delay and average stop time per vehicle were decreased when more vehicles follow the speed guidance. The more vehicles follow the guidance, the smoother the vehicles operate at intersections. Based on the existing emission estimation methods, the research approach of emission estimation at signalized intersections with V2I communication (estimating emission factor-estimating correction factor of emission factor-estimating emission) was developed. The emission estimation method at signalized intersections with V2I communication was proposed by the calculation of emission data and operation mode data. The validation was conducted by comparing the correction factors of emission factor calculated from the proposed emission estimation method and that obtained from the simulation platform. The results (all the errors are under 3%) showed that the accuracy of the proposed emission estimation method meets the requirement. Finally, the demand and the application process of this emission estimation method were analyzed.