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The Research On Bus Route Optimization Based On The Competition And Cooperation Relationship Between Rail And Bus

Posted on:2020-05-22Degree:MasterType:Thesis
Country:ChinaCandidate:P ZhuFull Text:PDF
GTID:2392330602461159Subject:Transportation planning and management
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Conventional public transportation and rail transit are the two most important modes of transportation for passengers to choose when traveling.The two must compete and cooperate to better serve passengers and attract more passengers to choose public transportation.Travel to improve the quality and level of service of the public transport system.Competition and cooperation are the most common attribute relationships in the public transportation network constructed by both rail and conventional public transport.However,the current competition and cooperation relationship is limited to the definition of qualitative relationship,lacking mature theory to measure.Based on this relationship to optimize the bus route,it can accurately design the conventional bus to connect the rail transit to collect passengers,and appropriate competition to divert to reduce the burden of rail transit.This thesis analyzes the competition and cooperation relationship between rail transit and conventional public transport,obtains a static measurement of the competition and cooperation relationship,and combines the dynamic total passenger travel expenses to conduct research on the relevant bus route optimization based on the rail transit station.Mainly carried out the following aspects of research:Firstly,this thesis analyzes and summarizes the research on the competition and cooperation relationship in the public transport network at home and abroad,the objective function studied,the established model and the solving algorithm have been studied;The classification method of the rail transit site is constructed based on the analysis of land use and comprehensive traffic level,and study the principles of bus setup from the perspective of the type of rail transit site.Eight sites of Changsha metro line 2 were selected as examples.Counting and analyzing six impact indicators such as the number of bus stations,the number of bus lines,the average transfer distance,the bus line density,the line crossing coefficient,and the line repetition coefficient within the service scope of the site,The factor analysis method is introduced to measure the similarity and reduce the dimension,and the system clustering method is combined to determine the bias of competition or cooperation relationship between various types of orbital sites and related bus lines.Starting from the site,the cooperation and competition site pairs are revised according to the rail transit and regular bus overlap service area and the inter-site distance,and the cooperation and competition site pair correction coefficient is defined;and then expanded to the line level,defined the strength of cooperation and competition between the rail line and the relevant bus lines,using the Gaode application development interface(API)to obtain Changsha Metro Line 2 and related bus lines and site information,using ArcGIS software to calculate the overlapping service area of the rail and bus station.Finally,the Java language is used for programming calculation,and the competition and cooperation strength of the Changsha Metro Line 2 and the relevant bus lines along the line is obtained.Based on the travel data,the minimum passenger travel cost is selected as the objective function,the competition and cooperation closeness,the bus line length and the non-linear coefficient are the constraints,and the relevant bus line optimization model based on the competition and cooperation relationship between rail and bus is established,and the genetic algorithm is used for iterative operation,get the ideal solution,then get the route optimization.Taking the section of Wangchengpo Station-Cultural and Arts Center Station-West Meixihu Lake Station of Changsha Metro Line 2 as an example,selecting the local road network around the bus lines around it,the optimization plan of the relevant bus lines is obtained.
Keywords/Search Tags:rail transit, bus route, site function location, competitive strength, genetic algorithm
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