Urban Traffic Corridor System Configuration Optimization Research under the Background of Low Carbon

Environmental conditions of urban traffic corridor was not only related to the comfortableness of the around residents living, but also related to problem of lessen fule-comsumpation and gas-letout of urban traffic. So it became one of the urban traffic focus recently. This paper first researched attracting scope of urban traffic corridor. This part concluded the universal and accurate method of determining covering scope. Then, based on the relationship between different traffic modes and carbon emissions, a model which contains all traffic modes was established to calculate transport carbon emissions. After that, a bilevel programming model was established to optimize system configuration of traffic corridor, where the upper model minimizes the system carbon emission, while the lower model optimums for the users’ trip. And based on Genetic Algorithm, we designed an arithmetic to resolve this bilevel programming model. Finally, this paper used Chengdu to Longquanyi district traffic corridor as an example. By the application of origin and destination data from the dwellers within the covered scope of traffic corridor, this paper completed corridor system optimization configuration, to prove the feasibility of the model in this paper.