大城市客运铁路枢纽客流分配模型

摘要/Abstract

摘要：

不同时段内，不同区位的旅客会根据不同的接驳方式及城际列车班次进行城际出行.只根据城际间的出行成本无法准确地刻画旅客的出行.在已知不同时段内城市间各分区 OD客流、城际列车时刻表和铁路枢纽布局的前提下，构建城市内接驳交通网络；利用多项 Logit 模型，建立各个交通分区到铁路车站的接驳子模型；进而利用列车时刻表得到城际出行成本，并考虑列车拥挤造成的成本增加，根据总成本最小原则及接驳子模型，构建分时段的铁路枢纽客流分配模型.通过改进的MSA算法进行求解，得到各时段内各交通分区到铁路车站、以及铁路车站之间的客流量.最后通过算例，对方法的可行性及有效性进行了验证.

关键词: 铁路运输, 客流分配, 接驳子模型, 时段划分, 列车时刻表, 改进MSA算法

Abstract:

In different periods, the passengers of different location will take an intercity travel through various access modes and different frequency of trains. It can’t describe passengers’travel accurately only according to the inter- city travel costs. Therefore, with the premise that the OD passenger flow between traffic zones of two cities, intercity train timetable, and railway hub layout are known, it constructed the access traffic network in the city to get the access cost from traffic zones to railway stations and used multinominal Logit model to form the access submodel. Then it used the train timetable to get the intercity travel cost and considered the added cost caused by crowded passengers. According to the principle of minimum total cost and the access submodel, it formed the passenger flow assignment model in different periods, and got the passenger flow between traffic zones and railway stations and between railway stations through improved MSA algorithm. Finally, a numerical example shows the feasibility and validity of the method.

Key words: railway transportation, passenger flow assignment, access submodel, time division, train timetable, MSA algorithm

中图分类号:

U268.6

寇俊，顾保南. 大城市客运铁路枢纽客流分配模型[J]. 交通运输系统工程与信息, 2018, 18(1): 44-49.

KOU Jun，GU Bao-nan. Modeling the Passenger Flow Assignment of Railway Hub Stations in Metropolis[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(1): 44-49.

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract19553.shtml

http://www.tseit.org.cn/CN/Y2018/V18/I1/44

参考文献

[1] DEBREZION G, PELS E, RIETVELD P. Modelling the joint access mode and railway station choice[J]. Transportation Research Part E: Logistics and Transportation Review, 2009, 45(1): 270-283.

[2] GIVONI M, RIETVELD P. Do cities deserve more railway stations? The choice of a departure railway station in a multiple-station region[J]. Journal of Transport Geography, 2014, 36(36): 89-97.

[3] SHAO C, XIA J C, LIN T G, et al. Logistic regression models for the nearest train station choice: A comparison of captive and non-captive stations[J]. Case Studies on Transport Policy, 2015, 3(4): 382-391.

[4] 李倩. 基于路网的高速铁路客流预测方法研究[D]. 北京：北京交通大学, 2011. [LI Q. Research on passenger flow forecasting method of high-speed railway based on road network[D]. Beijing: Beijing Jiaotong University, 2011.]

[5] 柳健. 高速铁路多层次客流分配方法及系统设计[D]. 北京: 北京交通大学, 2013. [LIU J. Multilevel passenger flow assignment method in high speed railways and the computer system design[D]. Beijing: Beijing Jiaotong University, 2013.]

[6] 辛文慧. 铁路客运枢纽市内交通需求预测方法研究[D]. 武汉：武汉理工大学，2010. [XIN W H. Study on urban internal traffic demand forecast method of railway passenger transport hub[D]. Wuhan: Wuhan University of Technology, 2010.]

[7] 何宇强, 毛保华, 等. 高速客运专线客流分担率模型及其应用研究[J]. 铁道学报, 2006, 3(28): 18-21. [HE Y Q, MAO B H, et al. The mode share model of the highspeed passenger railway line and its application[J]. Journal of the China Railway Society, 2006, 3(28): 18-21.]

[8] 聂磊, 胡小风, 佟璐, 等. 基于旅客列车开行方案的客流分配方法研究[J]. 交通运输系统工程与信息, 2011, 11(3): 87-92. [NIE L, HU X F, TONG L, et al. Research of passenger flow assignment based on passenger train plan[J]. Journal of Transportation System Engineering and Information Technology, 2011, 11(3): 87-92.]

[9] 王培恒, 沈嘉曦. 基于城际铁路客流动态分配的列车开行方案优化生成[J]. 交通运输工程与信息学报, 2016, 14(1): 81-86. [WANG P H, SHEN J X. Optimal train operating scheme based in intercity railway passenger flow dynamic assignment[J]. Journal of Transportation Engineering and Information, 2016, 14(1): 81-86.]

[10] 曾玮. 基于时刻表的城际铁路客流分配研究[D]. 兰州: 兰州交通大学, 2014. [ZENG W. Research on the schedule- based passenger assignment for an intercity high- speed rail line[D]. Lanzhou : Lanzhou Jiaotong University, 2014.]

[11] 冯树民, 马栋才. 交通小区的两维图论聚类[J]. 哈尔滨工业大学学报, 2015, 47(9): 57-62. [FENG S M, MA D C. Two-dimensional graphic theory on clustering method of small traffic zones[J]. Journal of Harbin Institute of Technology, 2015, 47(9): 57-62.]

[12] 宋亮. 交通小区的理论分析和划分方法研究[D]. 西安:长安大学, 2011. [SONG L. Theoretical analyses and research on division method for traffic zone[D]. Xi’an : Chang’an University, 2011.]

[13] 寇俊，顾保南. 大城市铁路主要客站接驳效用计算模型及分析方法[J]. 同济大学学报(自然科学版), 2017, 45(10): 1469-1475. [KOU J, GU B N. Methods of access utility calculation and analysis of the main railway station in metropolis[J]. Journal of Tongji University(Natural Science Edition), 2017, 45(10): 1469-1475.]

[14] 陆化普. 交通规划理论与方法[M]. 北京: 清华大学出版社, 2006. [LU H P. Theory and method in transportation planning (The second edition) [M]. Beijing: Tsinghua University Press, 2006.]

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