列车运行能耗与乘客换乘时间协同优化研究

doi:10.3976/j.issn.1002-4026.2020.05.009

山东科学 ›› 2020, Vol. 33 ›› Issue (5): 73-83.doi: 10.3976/j.issn.1002-4026.2020.05.009

列车运行能耗与乘客换乘时间协同优化研究

赵凯丽¹，范贤¹，徐小明¹，朱冬冬²

1.合肥工业大学汽车与交通工程学院，安徽合肥 230009;2.合肥市轨道交通集团有限公司运营分公司，安徽合肥 230001

收稿日期:2020-04-10 出版日期:2020-10-08 发布日期:2020-09-27
作者简介:赵凯丽（1993—），女，硕士研究生，研究方向为交通运输规划与管理。E-mail:1513283228@qq.com
基金资助:
国家自然科学基金（71701062）；安徽省自然科学基金（1708085QG167）；中国博士后科学基金（2019M662144）

An integrated optimization approach for train energy consumption and passenger transfer time#br#

ZHAO Kai-li¹, FAN Xian¹, XU Xiao-ming¹, ZHU Dong-dong²

1.School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, China; 2.Operational Department of Hefei Rail Transit Group Co.,Ltd., Heifei 230001, China

Received:2020-04-10 Online:2020-10-08 Published:2020-09-27

摘要/Abstract

摘要： 为减少轨道交通系统运营总能耗和乘客换乘时间，以列车的在站停留时间为决策变量，建立了一种协同优化的时刻表优化模型,并设计了求解该模型的遗传算法。应用北京地铁五号线和亦庄线的实际数据展开算例研究，验证模型和算法的有效性。结果表明，该研究较优化前的轨道交通系统总能耗减少5.15%，乘客换时间减少17.66%。

关键词: 轨道交通, 时刻表, 运行能耗, 换乘时间, 停留时间, 遗传算法

Abstract: In this paper, we establish a timetable based on an integrated optimization model by taking the train dwell time as the decision variable to reduce the total energy consumption and passenger transfer time in a rail transit system. Furthermore, we design a genetic algorithm to implement the model. Finally, we conduct a numerical experiment with the actual data of Beijing metro Line 5 and Yizhuang Line to demonstrate the effectiveness of the model and the efficiency of the proposed method. Results show that the total energy consumption of the rail transit system reduce by 5.15% and passenger transfer time is reduce by 17.66% after optimization.

Key words: rail traffic, timetable, energy consumption, transfer time, dwell time, genetic algorithm

中图分类号:

U293.5

赵凯丽, 范贤, 徐小明, 朱冬冬. 列车运行能耗与乘客换乘时间协同优化研究[J]. 山东科学, 2020, 33(5): 73-83.

ZHAO Kai-li, FAN Xian, XU Xiao-ming, ZHU Dong-dong. An integrated optimization approach for train energy consumption and passenger transfer time#br#[J]. Shandong Science, 2020, 33(5): 73-83.

参考文献 16

1	王玉明. 城市轨道交通系统能耗影响因素的量化分析[D]. 北京：北京交通大学，2011. doi: 10.7666/d.y1963536
2	CHEN J, LIN R, LIU Y. Optimization of an MRT train schedule: reducing maximum traction power by using genetic algorithms[J].IEEE Transactions on Power Systems, 2005, 20(3): 1366-1372. doi: 10.1109/TPWRS.2005.851939
3	XU X M, LI K P, LI X. A multi‐objective subway timetable optimization approach with minimum passenger time and energy consumption[J]. Journal of Advanced Transportation, 2016, 50(1): 69-95. doi: 10.1002/atr.1317
4	GAO Y, YANG L X, GAO Z Y. Energy consumption and travel time analysis for metro lines with express/local mode[J]. Transportation Research Part D: Transport and Environment, 2018, 60: 7-27. doi: 10.1016/j.trd.2016.10.009
5	ICHIKAWA K. Application of optimization theory for bounded state variable problems to the operation of train[J]. Bulletin of the JSME, 1968,11(47):857-865. doi: 10.1299/jsme1958.11.857
6	ASNIS I A, DMITRUK A V, OSMOLOVSKII N P. Solution of the problem of the energetically optimal control of the motion of a train by the maximum principle[J]. USSR Computational Mathematics and Mathematical Physics, 1985,25(6):37-44. doi: 10.1016/0041-5553(85)90006-0
7	HOWLETT P . An optimal strategy for the control of a train[J]. The Journal of the Australian Mathematical Society Series B Applied Mathematics, 1990, 31(4):454-471. doi: 10.1017/S0334270000006780
8	马超云, 毛保华, 梁肖, 等. 地铁列车节能运行惰行控制研究[J]. 交通信息与安全, 2010, 28(2):37-42. doi: 10.3963/j.ISSN1674-4861.2010.02.009
9	LU S F, HILLMANSEN S, HO T K, et al. Single-train trajectory optimization[J]. IEEE Transactions on Intelligent Transportation Systems, 2013, 14(2): 743-750. doi: 10.1109/tits.2012.2234118
10	YANG X, CHEN A, LI X, et al. An energy-efficient scheduling approach to improve the utilization of regenerative energy for metro systems[J]. Transportation Research Part C: Emerging Technologies, 2015, 57: 13-29. doi: 10.1016/j.trc.2015.05.002
11	ZHAO L, LI K P, YE J J, et al. Optimizing the train timetable for a subway system[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2015, 229(8): 852-862. doi: 10.1177/0954409714524377
12	钱堃, 陈垚, 毛保华. 考虑换乘时间影响的城市轨道交通路径选择行为研究[J]. 交通运输系统工程与信息, 2015,15(2): 116-121. doi: 10.16097/j.cnki.1009-6744.2015.02.018
13	WONG R C W, YUEN T W Y, FUNG K W, et al. Optimizing timetable synchronization for rail mass transit[J]. Transportation Science, 2008, 42(1): 57-69. doi: 10.1287/trsc.1070.0200
14	WU J J, LIU M H, SUN H J, et al. Equity-based timetable synchronization optimization in urban subway network[J]. Transportation Research Part C: Emerging Technologies, 2015, 51: 1-18. DOI:. doi: 10.1016/j.trc.2014.11.001
15	GUO X, SUN H J, WU J J, et al. Multiperiod-based timetable optimization for metro transit networks[J]. Transportation Research Part B: Methodological, 2017,96:46-67. doi: 10.1016/j.trb.2016.11.005
16	SHANG P, LI R M, LIU Z Y, et al. Equity-oriented skip-stopping schedule optimization in an oversaturated urban rail transit network[J]. Transportation Research Part C: Emerging Technologies, 2018, 89: 321-343.DOI:. doi: 10.1016/j.trc.2018.02.016

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列车运行能耗与乘客换乘时间协同优化研究

An integrated optimization approach for train energy consumption and passenger transfer time#br#

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