Research On The Study Of Hierarchy Planning Method Of Urban Public Traffic Network Optimization

Optimization of urban pubic transit networks is one of main part of urban passenger transport traffic planning. It can effectively solve ride difficult problem in the case of limited investment, which is widely face in most of cities at the present time, and has important practical signification. Firstly, the dissertation reviewes developmental history and sums up the existent problem of urban public transit nowdays.Secondly, the dissertation discusses demand forecast method of urban public traffic and the dissertation puts forward optimal model of urban public transit networks. Finally,analysis the line functional hierarchical structure of the public transportation and ant colony algorithm, proposed laying delaminately, optimizing for joining the bus network.Forecast of public transit's demand is foundation of public transit networks optimization.The dissertation puts forward model of resident trip produce, model of resident trip attract and model of resident trip distributing. The dissertation studies optimal models of one public transit line and integer networks, discusses their restrict condition each other on the base of analyzing optimal aim and effective factors of public transit networks optimization.The functional levels of urban public transit is important for networks optimization, it is the base of the bus lines' optimization too.If the urban public transit is divised reasonably and sciencly,the disorder public transportation could become systematic, also the operating efficiency and the service level of the public transportation could raise effectively.This article analysis the line functional hierarchical structure of the public transportation which include the main skeleton line,the inferior skeleton line and the branch's line. Based on this and ant colony algorithm, proposed laying delaminately, optimizing for joining the bus network.Finally,it applies to public transit networks optimization of a city.