Research On Conventional Urban Bus Network Optimization

The urban traffic conditions become deteriorating, bus priority is urgently needed.In recent years, more and more scholars are aiming at investigate and analyze thestatus about public transportation in their host cities, and use a series of techniques tooptimize the network. Public transit networks optimization has always been achallenge in the public traffic programming. This paper determines the research objectis to optimize the conventional city bus line networks.First of all, The introduction part analysis the international and domestic publictraffic line network planning research, concludes the trend towards of theinternational and domestic of bus network optimization，and the use of softwareTransCAD in each city transportation planning application，determine the purpose ofthis paper and the technical route.Secondly, study the public transport demand forecasting method on the basis oftransit network optimization.Thirdly, research the optimization theory of the bus network, determine theoptimization principle, discuss the constraint conditions of the bus network, analysisthe aim of the paper, put forward using the stratified optimization method in view ofthe present situation, formulate the optimize process of the bus network.Fourthly, research the bi-level programming model, establish the bi-levelprogramming model of this paper , the upper planning objective function is in theminimum sum for the revolving quantity of the passengers, lower programming modelis build on the stochastic traffic assignment model, write the solving process ofbi-level programming model combined with the MSA distribution process of SUE.Introduced TransCAD software and its bus module, analyses how to use software forbus system simulation modeling, research software used in the traffic assignmentmodel, Put forward to use the software for bus network optimization steps, realize thevisual simple operation through the software.Finally, the above theory is used for the Yueyang city bus network optimizationpractice, test the feasibility of the theory through the contrast of the results of theBi-level programming model and evaluation indexs, obtained satisfactory results.