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Study On Coordinated Operation Optimization Technology Between Urban Rail System And Bus System

Posted on:2020-05-03Degree:MasterType:Thesis
Country:ChinaCandidate:T T ShaoFull Text:PDF
GTID:2392330590987113Subject:Transportation planning and management
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With the rapid development of China's economic construction,traffic problems such as urban road congestion and frequent accidents have become increasingly serious.Vigorously promoting the development of public transportation is an effective way to solve the above problems.Rail transit and conventional public transportation are the backbone and main body of urban public transportation,to achieve effective coordination between the two is an inevitable requirement for promoting the development of public transport integration,improving the efficiency of residents' travel and the level of public transport services.This paper mainly studies the operational coordination optimization of the two.Firstly,the paper expounds the connotation of urban public transportation system,introduces rail transit and conventional public transportation,summarizes the basic characteristics of the two and conducts comparative analysis,and determines the functions of the two in public transportation system based on characteristic analysis.Positioning,and then studying the cooperation,competition and convergence of the two.The improved Logit model was used to quantitatively analyze the competitive relationship.The results show that for a given competition interval,the advantage of rail transit becomes more prominent with the increase of interval distance.Second,the paper conducts an in-depth analysis of the coordination of conventional bus and urban rail transit operations.The basic content of operational coordination is discussed from the technical and management aspects.This paper mainly studies technical level operation coordination: capacity matching design and operation scheduling coordination.This paper discusses the main influencing factors of transportation capacity matching,constructs the transportation matching design model,and proposes the transportation matching degree calculation method to evaluate the matching degree.In addition,the principle of operation and scheduling coordination between the two is deeply studied,and the transfer coordination conditions under the three transfer situations of Rail to Bus,Bus to Rail and Bus to Bus are given.Third,based on the principle of regular bus and rail transit operation scheduling,a two-tier planning model is constructed from the perspective of enterprises and passengers.Optimize the departure interval as the upper model with the goal of minimizing operating costs and travel costs.Based on this,considering the impact of departure interval changes on passenger travel choices,an improved optimal travel strategy selection method is introduced as the lower model.According to the different departure intervals provided by the upper layer,the lower model continuously redistributes the passenger flow in the transfer network.According to the characteristics of the bi-level programming model established in this paper,the algorithm implementation steps of the model solving are designed and solved by Matlab programming.Finally,the thesis uses the actual public transportation network of Qingdao as the research object to analyze the model application.The model is solved by the actual investigation and the data obtained by the collection,and the optimized departure interval and total system cost are obtained.The results show that the coordinated control of rail transit and conventional bus operation can effectively shorten the waiting time of passengers and improve the transfer efficiency of passengers.The transfer cost and waiting cost of passengers after the operation interval are optimized and increased by 18.73% and 13.66% respectively;while passengers' vehicle costs and business operating costs increased slightly before optimization,but the increase was only small,only increased by 0.11% and 1.03% respectively;in terms of the entire transfer system,the total system cost decreased by 6.03%.This example provides effective verification for the research results of the model establishment and solving algorithms.
Keywords/Search Tags:conventional bus, operational coordination, rail transit, bi-level programming model, Genetic Algorithm
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