Study on bi-level programming model for traffic control on massive activities

Abstract

In the massive activities of cities, rush hour is short while traffic flow is great. Traffic flow is unbalanced on time and space. If the measure of traffic control is not right, the traffic is affected badly. In this paper, a bi-level programming model about traffic control measure is brought forward. In upper level, providing key member with high transportation service is first thought over, and then the sum of travel delay of the masses and cost of traffic control is minimized. In lower level, evacuation delay of activities personnel is designed to ensure no traffic jam emerged. Rough set genetic algorithm is employed to solving bi-level programming problem in the paper, and an example of traffic control to massive activity verifies the validity of the technique.