考虑到站时间差的多层级常规公交时刻表

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (426 KB) HTML ()
输出: BibTeX | EndNote (RIS)

摘要 The differences in arrival time at transfer stations, including internal hierarchy and between levels based on layout mode and service characteristics, were considered to maximize the cohesion efficiency of transfer stations and improve the utilization ratio of the network in a multi-level public transit system. In this paper, a timetable model that aims to minimize the cost incurred by passengers and companies was created in terms of departure time and interval. The timetable model was solved by genetic algorithms and subsequently achieved a multi-level bus line running timetable. The model was verified by a numerical example. Calculation results show that although this model increases the investment in public vehicles by 8.5%, the timetable shortens the waiting time of passengers by 23.5% and reduces the overall cost. In the actual operation, the interests of the passengers and public transport companies should be balanced when considering the actual demand.

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	谷金晶
	江志彬

关键词 ： traffic engineering, timetable organization, multi-objective optimization, differences in arrival time, multi-level transit

Abstract：The differences in arrival time at transfer stations, including internal hierarchy and between levels based on layout mode and service characteristics, were considered to maximize the cohesion efficiency of transfer stations and improve the utilization ratio of the network in a multi-level public transit system. In this paper, a timetable model that aims to minimize the cost incurred by passengers and companies was created in terms of departure time and interval. The timetable model was solved by genetic algorithms and subsequently achieved a multi-level bus line running timetable. The model was verified by a numerical example. Calculation results show that although this model increases the investment in public vehicles by 8.5%, the timetable shortens the waiting time of passengers by 23.5% and reduces the overall cost. In the actual operation, the interests of the passengers and public transport companies should be balanced when considering the actual demand.

Key words： traffic engineering timetable organization multi-objective optimization differences in arrival time multi-level transit

收稿日期: 2016-06-18

基金资助:Supported by the National Natural Science Foundation of China (No. 61473210); the Basic Professional Work Funds of Central Universities (No. 1600219269)

通讯作者: GU Jin-jing E-mail: 1610742@tongji.edu.cn

引用本文:

谷金晶, 江志彬. 考虑到站时间差的多层级常规公交时刻表[J]. Journal of Highway and Transportation Research and Development, 2017, 11(2): 91-96.
GU Jin-jing, JIANG Zhi-bin. Timetable for Multi-level Bus Transit Considering Differences in Arrival Time. Journal of Highway and Transportation Research and Development, 2017, 11(2): 91-96.

链接本文:

http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/ 或 http://manu27.magtech.com.cn/Jwk_gljtkj_en/CN/Y2017/V11/I2/91

[1] ZOU Yi, ZHANG Jin. Study on Integrated Planning of An-Ning Urban and Rural Public Transport[M]. Beijing:People's Communications Press, 2012:80. (in Chinese)
[2] ANDRZEJ A, CHMIEL W. Optimal Service Synchronization in Public Transport[J]. Transportation Systems, 1997(3):1283-1287.
[3] CEDER A, TAL O. Timetable Synchronization for Buses[M]//Computer-Aided Transit Scheduling. Springer Berlin Heidelberg, 1999:245-258.
[4] FLEURENT C, LESSARD R, SEGUIN L. Transit Timetable Synchronization:Evaluation and Optimization[C]//Proceedings of the 9th International Conference on Computer-aided Scheduling of Public Transport. San Diego:s.n. 2004:9-11.
[5] QIN Yun-mei. Research on Methods of City Bus Dispatching Optimization[D]. Hefei:Hefei University of Technology, 2006. (in Chinese)
[6] SHI Qin, QIN Yun-mei, HUANG Zhi-Peng. Maximal Synchronous Transfer Model of Bus Regional Dispatching[J]. China Journal of Highway and Transport, 2007, 20(6):90-94. (in Chinese)
[7] YANG Li. The Study of Bus Regional Scheduling Basing on Transfer Value[D]. Chengdu:Southwest Jiaotong University, 2010. (in Chinese)
[8] SITU Bing-qiang. Research on the Theoretical Model and Reliability Control Method of Timetable in bus Network[D]. Changsha:South China University of Technology, 2011. (in Chinese)
[9] CHEN Xia. Collaborative Based on the Structure of Public Traffic Network[D]. Changsha:Changsha University of Science & Technology, 2011. (in Chinese)
[10] HE Di. Study on Regional Public Transportation Timetabling Synchronized Model[J].Statistics and Decision, 2012(8):56-58.
[11] IBARRA R O J, RIOS-SOLIS Y A. Synchronization of Bus Timetabling[J]. Transportation Research Part B-Methodological, 2012, 46(5):599-614.
[12] BAI Hai jian, DONG Rui-juan, ZHANG Min, et al. Optimization Method of Bus Time Based on Synchronization Diversity[J].Journal of Traffic and Transportation Engineering, 2013, 13(3):79-85. (in Chinese)
[13] XIONG Jie, GUAN Wei, HUANG Ai-Ling. Research on Optimal Routing of Community Shuttle Connect Rail Transit Line[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(1):166-173. (in Chinese)
[14] VUCHIC V R. Urban Transit:Operations, Planning, and Economics (Volume I:Operations)[M]. SONG Rui, et al Translated. Beijing:China Railway Press, 2012:183. (in Chinese)