Bi-Level Programming Model of Route Information Guidance Considering Carbon Emissions

With the accelerating economic development and increasing of urban motorization, traffic congestion is seen everywhere, so the issue of the vehicular exhaust emissions which leads the vehicles to accelerate and decelerate frequently as well as stay in idle state for a long time is particularly serious. In order to reduce carbon emission and improve road network efficiency, a bi-level programming model considering carbon emission under the action of route guidance information is set up. Decision maker aims at reducing carbon emission and optimize road network efficiency and makes road traffic capacity as constraint condition by means of providing different types of information in its upper model. The route choice behavior of driver is described by the user equilibrium in its lower model. The bi-level programming model of network was analyzed and solved by heuristic algorithm. In the end, a simple numerical example is presented in order to validate the feasibility of the model and the algorithm. On the basis of analyzing the influence of vehicle carbon emission and road network efficiency under the route guidance information, vehicular exhaust emissions control strategies are presented.