An inexact bus departure frequency model for traffic pollution control

Abstract

This study presents an interval bus departure frequency programming model for traffic system pollution control through odd-even restrictions on private vehicles policy under uncertainties. The restriction policy results in enormous cost of the public transportation system especially in peak hours. The developed model can effectively quantify the relationship among system cost, execution time of the restriction policy and traffic environment by considering the uncertainties of traffic system. The uncertainties presented as interval numbers in the public transportation system can be quantified with the interval programming. The developed model is applied to Wuhan city, China. The results indicate that the efficiency of the program is significantly influenced by automobile ownership, the execution time of the policy and the level of emission. Besides, the program can easily be extended to all bus routes for vehicle emissions management.