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Research On Collaborative Optimization Of Urban Rail Transit Peak Pricing And Express/Local Train Scheme

Posted on:2022-03-17Degree:MasterType:Thesis
Country:ChinaCandidate:M N FanFull Text:PDF
GTID:2492306740450354Subject:Traffic and Transportation Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of urban rail transit in China,problems such as the difficulty of operating companies to make profits,the unbalanced distribution of passenger flow in time and space,and the difficulty in adapting to long and large lines in the station stop plan have become more and more prominent.In order to solve or improve the above problems,this paper conducts research on the urban rail transit ticket fare and express/local train schemes,completes the theoretical analysis of the urban rail transit ticket fare,verifies the effect of the peak fare optimization model,and sorts out the operation and organization conditions of the express/local train scheme.On the basis of,establish a collaborative optimization model of peak fare and express/local train schemes,and set up calculation examples to verify the effect of the model.The main work is as follows:1.This paper summarizes the current mainstream ticket system of urban rail transit and the ticket prices of typical cities at home and abroad,and analyzes the principles and influencing factors of urban rail transit pricing.After having the theoretical foundation,the Logit model is used to reflect the influence of fares on passengers’ willingness to ride,and a peak fare model with the goal of minimizing government operating subsidies is established.Subsequently,the data of Chengdu Metro Line 3 was used to set up a calculation example to verify the positive effect of peak pricing optimization in "cutting peaks and filling valleys",increasing the ticket revenue of urban rail transit operators,and laying a solid foundation for collaborative optimization.2.This paper analyzes the concepts,types,advantages and disadvantages of urban rail transit express/local train schemes in detail.At the same time,the line conditions and passenger flow conditions of the urban rail transit express/local train plan operation organization are explained,and typical cases of domestic and foreign express/local train plans are introduced to provide a theoretical basis for the collaborative optimization of peak fare and express/local train schemes.3.This paper combines the original independent pricing research with the express/local train scheme research,the collaborative optimization model of peak ticket price and express/local train scheme is established,and verified by 7-station simulation line.By comparing the changes of passenger flow,ticket revenue and the travel time of passengers before and after the collaborative optimization,the collaborative optimization model of peak ticket price and express/local train scheme is verified to alleviate peak congestion,increase ticket revenue and improve the overall travel efficiency of passengers.
Keywords/Search Tags:Urban Rail Transit, Peak Fare, Express/Local Train, Harmony Search Algorithm
PDF Full Text Request
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