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Research On Optimization Of Conventional Bus Station Dispatching Based On Data Envelopment Analysis

Posted on:2021-03-24Degree:MasterType:Thesis
Country:ChinaCandidate:Y B XiangFull Text:PDF
GTID:2492306200954009Subject:Traffic and Transportation Engineering
Abstract/Summary:PDF Full Text Request
As the contradiction between urban traffic carrying capacity and residents’ travel needs has intensified,public transportation has gradually become a good strategy for solving urban traffic problems due to its high efficiency,environmental protection and other advantages.Urban conventional buses still bear the travel service needs of large numbers of passengers on the roads in the core areas of the city,but due to the limitation of dispatching methods and operating modes,there is a trend of gradually becoming the alternative transportation method for residents to travel.In order to improve the efficiency of conventional bus scheduling,previous studies on scheduling optimization have focused on bus schedules and route selection,and less discussion on the interstation scheduling process at each passing station,which also provides a new perspective for optimizing bus scheduling.This paper intends to carry out a study on the optimization of dispatching efficiency between bus stations,taking the all-stop bus modol as the research object,using scientific and reasonable DEA(Data Envelopment Analysis)efficiency assessment methods.We research the optimal system efficiency of time schedule,which is used for the bus travel time between stations.The specific work is as follows:(1)This article summarizes the conventional bus service process into the production process of "consumption input and obtain output".The service effect of conventional public transport is mainly evaluated by three types of indicators: " infrastructure investment scale,line network layout structure and passenger transportation service".From the perspective of public transportation performance,the effectiveness of public transport services is directly related to the efficiency of transportation input and output resources.Therefore,the service process of conventional buses can be regarded as a production process of investing in infrastructure and network structure to obtain economic and satisfaction benefits.(2)This paper uses the data envelopment analysis model to measure the dispatching efficiency of conventional bus traveling between stations.Under the premise of analyzing the changes of various attributes of bus arrival in each station,the index of number of vehicles at the station,the running time between stations is used as the input,and the number of service passengers and the suitability of the full load rate are used as the output to construct the efficiency evaluation index system.According to the frontier theory,the index in the data envelopment analysis result are given practical significance in the dispatching process between bus stations,and the ability to calculating the time and space distribution characteristics of the above indicators by data envelopment analysis is demonstrated through examples.(3)In order to optimize the scheduling efficiency of conventional bus travle between stations,the operation process of bus stations is described in the time-space network,and the Binary time-space network model of "time-stop" is established on this.On the basis of building a nonlinear integer programming model aiming at optimal system efficiency,in order to speed up the solution speed,the solution space reduction,initial solution generation,and the upper and lower bounds of the dispatch scale were discussed.The results of the example prove that the optimization of the running time between stations under different vehicle number will increase the coordination of dispatch by an average of 17.63%;compared with the actual vehicle schedule plan,the optimized driving plan is 7.02% more effective than the actual plan,which verifies the effectiveness of this research.
Keywords/Search Tags:urban traffic, conventional bus, optimization of travel time between stations, data envelopment analysis, genetic algorithm
PDF Full Text Request
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