Transportation Development Path Based On The Low Carbon

Environmental pollution and greenhouse gas emissions has become the common challenges facing humanity. Transportation is the main source of environmental pollution and greenhouse gas emissions. Rapid economic development in our country, the speed up of urbanization and motorization, Urban traffic volume increases, which were caused a serious energy and environmental problem.This paper from the aspect of policy and planning level to explore the theory of urban low-carbon path method. The main factors influencing the urban traffic carbon emission was studied, and was classified as policy indicators。The policy indicators was studied by grey correlation analysis method, low-carbon transport which in our country has related data as an example for empirical study. Results show that the low carbon city traffic development highest correlation was investment in science and technology, public transportation capacity and infrastructure construction. The public transport was very important, Set up four kinds of public transport development. LEAP model was used to calculate the Hefei public transport carbon emissions which include present and future data. Calculation results show that using LEAP model software development rail transit new energy model significantly to reduce carbon emissions. For the decision-making department provide reference for the urban traffic low carbon policy development.Consider emissions impact early urban traffic road construction, reasonable planning can effectively reduce resource waste and greenhouse gas emissions. A bi-level programming model to solve the problem which considers the network impedance, a total investment, automobile exhaust emissions minimization as the upper model, the lower model user equilibrium under different demand. The use of asymmetric Nguyen-Dupuis neural network, genetic algorithm is used to solve the upper model using elitist and random traversal, the lower model by solving the dual gradient projection algorithm based on path. Design the corresponding algorithm to verify the model, by the example analysis shows that the model is effective, feasible solving algorithm.Agv, investment and discharge parameters provide reference for urban traffic builder. Based on the urban traffic low carbon development path theory and policy research, pointed out that the development of urban traffic improvement measures and countermeasures.