Optimizing the train timetable for a subway system

被引:25
|
作者
Le, Zhao [1 ]
Li, Keping [1 ]
Ye, Jingjing [1 ]
Xu, Xiaoming [1 ]
机构
[1] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 10044, Peoples R China
基金
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
Regenerative braking energy; simulated annealing; timetable; headway; dwell time; MODEL; ALGORITHM;
D O I
10.1177/0954409714524377
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
With the development of subway systems, the utilization of regenerative braking energy has become an important issue. Focusing on the dynamic coordination of trains when regenerative braking energy is available, this paper proposes a new strategy, in which the regenerative energy generated by braking trains is used directly by accelerating trains. First, a mathematical model is formulated to optimize the metro timetable to maximize the utilization of regenerative braking energy. The model is a nonlinear integer programming problem that searches for the optimal headway and dwell time at each station. Furthermore, a simulated annealing algorithm is used to solve the optimal timetable. Finally, the Island Line of MTR (the mass transit system in Hong Kong) is taken as an example to illustrate the efficiency of the model and solution method. The results show that the utilization of regenerative braking energy can be improved by between 4 and 12% depending on the energy conversion rate. It is shown that a larger energy conversion rate results in a larger improvement.
引用
收藏
页码:852 / 862
页数:11
相关论文
共 50 条
  • [41] Numerical simulation for optimizing the design of subway environmental control system
    Ke, MT
    Cheng, TC
    Wang, WP
    [J]. BUILDING AND ENVIRONMENT, 2002, 37 (11) : 1139 - 1152
  • [42] The Planners' Perspective on Train Timetable Errors in Sweden
    Palmqvist, Carl-William
    Olsson, Nils O. E.
    Hiselius, Lena Winslott
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2018,
  • [43] A Common Model For Railway Train Timetable Optimization
    Li Zhi
    [J]. 2019 11TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2019), 2019, : 115 - 119
  • [44] A New Method for Train Timetable Stability Control
    Zhang, H. W.
    [J]. INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS, 2014, 52 (01): : 151 - 158
  • [45] Resource-Oriented Augmentation of a Train Timetable
    Oh, Sukmun
    Chung, Kwanghun
    Choi, Jiwoong
    [J]. IEEE ACCESS, 2023, 11 : 114283 - 114290
  • [46] The Planners' Perspective on Train Timetable Errors in Sweden
    [J]. Palmqvist, Carl-William (carl-william.palmqvist@tft.lth.se), 1600, Hindawi Limited, 410 Park Avenue, 15th Floor, 287 pmb, New York, NY 10022, United States (2018):
  • [47] Intelligent Train Operation Algorithms for Subway by Expert System and Reinforcement Learning
    Yin, Jiateng
    Chen, Dewang
    Li, Lingxi
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 15 (06) : 2561 - 2571
  • [48] TRAIN TIMETABLE GENERATION USING GENETIC ALGORITHMS
    Hinde, C. J.
    Withall, M. S.
    Phillips, I. W.
    Jackson, T. W.
    Brown, S.
    Watson, R.
    [J]. ICEC 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION, 2010, : 170 - 175
  • [49] A Two-Objective Timetable Optimization Model in Subway Systems
    Yang, Xin
    Ning, Bin
    Li, Xiang
    Tang, Tao
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2014, 15 (05) : 1913 - 1921
  • [50] A SUBWAY TIMETABLE OPTIMIZATION MODEL FOR MAXIMIZING THE UTILIZATION OF RECOVERY ENERGY
    Yang, Xin
    Ning, Bin
    Li, Xiang
    Tang, Tao
    Song, Xiaomei
    [J]. PROCEEDING OF THE ASME JOINT RAIL CONFERENCE, 2013, 2013,