Study On Traffic Demand Management Of City Considering The Factors Of Low Carbon

As one of the main fields which contribute to the urban carbon emissions, China’s transportation industry has been faced with difficulties in the process of energy conservation and emission reduction. There are two main reasons. On the one hand, the ownership of motor vehicles is increasing year by year. On the other hand, it is very hard to look for new alternative fuels or have a fuel innovation. Therefore, it is very important to make a scientific and rational decision from the perspective of management of urban traffic.Our country is under the period of industrialization, urbanization and the improvement of people’s living quality. So, during this period, the growth of traffic demand and the improvement of motorization leads to a fast growth of traffic energy and vehicle gas emissions. Realizing the energy conservation and emission reduction of traffic system should not only be committed to innovation of the vehicle and fuel, but devoted to adopt scientific management methods, guide reasonable travel behavior and optimize the structure of transportation. Now the Traffic Demand Management (TDM) which rising in the field of traffic engineering has important significance to realize the energy conservation and emission reduction of urban traffic system, lead a low carbon travel and implement environment improvement. In the related study of traffic demand management, it is mainly aimed to traffic congestion but seldom mention its impact on urban traffic carbon emission. In this case, this paper’s main work is as follows:Firstly, it analyzes the influence which the Traffic Demand Management strategies effect on carbon emissions from four levels. Then, it introduces the mechanism which each level of TDM strategies effect on energy saving and emission reduction. Take the fourth level of TDM strategy as example, it analyzes the impedance of travelers.Secondly, it establishes the bi-level programming model of the urban traffic demand management considering the factors of low carbon. This part is the core and key in this paper. This model’s upper planning comprehensively consider the carbon emissions, facility use and cost efficiency as the objective function. The lower planning is the UE distribution model. And then it designs the solution of the bi-level programming model with the genetic algorithm.Thirdly, by assuming an example, it makes an empirical analysis for the constructed model. It solves the case through MATLAB programming and the results show that the model can get the optimal strategy of the several kinds of TDM strategy plan.