Validation Method of Passenger Route Choice Set Based on Travel Time Analysis for Urban Rail Transit

被引:0
作者
Zhu W. [1 ,2 ]
Wei J. [1 ,2 ]
Hong L. [1 ,2 ]
Xu R. [1 ,2 ]
机构
[1] Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai
[2] Shanghai Key Laboratory of Rail Infrastruture Durability and System Satety, Tongji University, Shanghai
来源
Tongji Daxue Xuebao/Journal of Tongji University | 2019年 / 47卷 / 01期
关键词
Cluster analysis; Route choice set; Travel time; Urban rail transit; Validation method;
D O I
10.11908/j.issn.0253-374x.2019.01.007
中图分类号
学科分类号
摘要
The route choice set plays an important role in estimating passenger route choice and consequently calculating passenger flow distribution on an urban rail transit (URT) network. In terms of the problem of the route choice set in the existing assignment model and the cluster characteristics of actual travel times of URT passengers, a URT route choice set validation method based on travel time cluster analysis was proposed. It was developed on the basis of Rodriguez-Laio cluster algorithm. Taking the Beijing subway network for example, it is found that the proposed method can make rapid identification and rolling validation for abnormal OD on the whole network level, and provide important references for the passenger flow survey of cause-analysis oriented as well as model modification. © 2019, Editorial Department of Journal of Tongji University. All right reserved.
引用
收藏
页码:56 / 63
页数:7
相关论文
共 10 条
[1]  
Xu R., Luo Q., Gao P., Passenger flow distribution model and algorithm for urban rail transit network based on multi-route choice, Journal of the China Railway Society, 31, 2, (2009)
[2]  
Tao Y., Zhang D., Urban rail transit ticket repayment method, Urban Rapid Rail Transit, 23, 4, (2010)
[3]  
Lin Z., Jiang M., Liu J., Et al., Improved logit model and method for urban rail transit network assignment, Journal of Transportation Systems Engineering and Information Technology, 12, 6, (2012)
[4]  
Bovy P.H.L., On modelling route choice sets in transportation networks: a synthesis, Transport Review, 29, 1, (2009)
[5]  
Xu R., Li W., Zhu W., Path set generation algorithm for schedule-based rail transit with constraints of time and space, Journal of Tongji University (Natural Science), 43, 7, (2015)
[6]  
Yu J., Wang Z., Study on clearing model based on travel matching time, Urban Mass Transit, 16, 1, (2013)
[7]  
Xu R., Zhu W., Song F., Et al., Study on the verification and optimization of Shanghai subway network distribution model, (2014)
[8]  
Xu R., Zhu W., Zhou F., Et al., Comprehensive verification and optimization technology on Beijing urban rail traffic clearing model, (2018)
[9]  
Rodriguez A., Laio A., Cluster by fast search and find of density peaks, Science, 344, (2014)
[10]  
Beijing urban rail transit network