Optimization And Simulation Of Transit Network In Urban

With the development of economy and improvement of technology, public transportation has become an important part in economic field, and itplays a greater and greater role in social economic stability. Government all of the world have increasingly thought much of realizing the modernization of public transportation.As a matter of fact, bus priority is one of the most efficient measures to resolve traffic problems in cities. And one of the fundamental contents of priority for public transportation is to optimize the Transit Network, it is the basis for developing the public transport system service level and competition. This dissertation combines with the research work which is of the National 863 project "Urban Cross Micro Traffic Simulation Software Research". Ant Colony Algorithm's application and simulation in Transit Network's optimization has been researched.There are several central contents in this dissertation. First, get the bus stop's position and the distance between two bus stops, allocate passengers flows to each bus stop, transit network optimization model is created and is combined with the developed ant colony algorithm to optimize transit network, the problem of bus dispatching in the angle of passengers'satisfactory degree of waiting is analyzed and a model which bases on the passengers' need and satisfies the passengers' satisfactory degree is established. At last, the models are simulated by micro traffic simulation software and the data is analyzed. The software is used in the optimization of Transit Network in Hefei and has a good result.