Research On Urban Passenger Traffic Distribution Optimization And The Bi-level Programming Model Of Road Speed Limit Based On Low Carbon Emission

Under the background of the rapid development of urbanization and motorization, the urban traffic department has become one of the main carbon emissions sector of our country, therefore, reduce the carbon emissions of urban traffic system has been an integral part of the urban traffic system construction. In order to reduce the carbon emissions, this paper studies the orientation of the construction of the urban transportation system of passenger traffic structure optimization model and a bi-level programming model of road network speed limit.On the basis of study and application relevant theories of low carbon city traffic system, put forward the way to reduce urban traffic carbon. Analyzed the urban traffic system and analyzed the transportation travel characteristics of six kinds of major transportation tool about rail transit, bus, taxi, private cars, bicycles and walking. This paper analyzed the goal for the urban traffic structure, which is to minimize the carbon and to maximize the traffic utility, road resources occupation, energy consumption, urban traffic demand, travel time, traffic development scale and travel times as constraint conditions, build the double objective optimization model of the urban passenger traffic structure. In Hefei, for example, has carried on the case analysis, to test the validity and practicability of the model.Based on the study of the carbon emissions calculation, this paper considered the relationship between the speed of cars and carbon emission, based on the fixed travel demand, established the road speed limit bi-level programming model from the perspective of reducing carbon emission. The upper level optimization problem is to minimize the vehicle carbon emissions; and the lower level problem is to depict travelers’route choice behavior based on user equilibrium (UE) theory. Based on the genetic algorithm, a solving algorithm is designed for the bi-level programming model and an example is presented to verify the proposed model. This research will provide a scientific basis for the development of relevant policies of urban road traffic planning and management.