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Study On Theory And Application Of Urban Conventional Bus Lines

Posted on:2009-08-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y GuoFull Text:PDF
GTID:2132360272483138Subject:Transportation planning and management
Abstract/Summary:PDF Full Text Request
"Walking " is a question that people living in the city must face every day, how to help people lived in cities reach the destination with the shortest time, the most convenient means of transportation, the shortest distance, which is the question that each urban administrator should consider. Bus priority plan is advocated in a lot of cities in China. It is also one of means to provide efficient transit services to ease tranffic problems in big-middle cities, so the regional government and scientific research personnel pay more and more attention on it.Optimization of urban pubic transit networks is one of main part of big urban passenger transport traffic planning. The objective of the optimization of public transport network is to make the public transport system produce the best benefit by using modern theory of transportation planning and modern computing techniques. The optimization process is to make the public transport network distribution reasonable by optimization and combining the existing public transport capacity. It lies on the existing city road system and public transport capacity.This paper consists of five parts: analysis of current transit at home and abroad, forecast of transit demand, relevant concept about optimization of urban public transit networks, optimization methods, models and numerical example of Anyang transit network.It is foundation of public transit networks optimization that is demand forecast of public transit. The dissertation puts forward model of resident trip produce, model of resident trip attract, model of resident trip distributing and forecast resident trip OD matrix of Anyang. Optimizing methods base on colony algorithm is put forth and public transportation in partial Anyang has been optimized, and achieved the good effect.
Keywords/Search Tags:Network optimization, colony algorithm, Public transportation
PDF Full Text Request
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