Volume 41 Issue 5
Oct.  2023
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Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(5): 176-184
LIN Li, MENG Xuelei, CHENG Xiaoqing, HAN Zheng, FU Yanxin. A Method for Developing Service Plan of Urban Rail Train Considering Carbon Emissions Impacts[J]. Journal of Transport Information and Safety, 2023, 41(5): 176-184. doi: 10.3963/j.jssn.1674-4861.2023.05.018
Citation: LIN Li, MENG Xuelei, CHENG Xiaoqing, HAN Zheng, FU Yanxin. A Method for Developing Service Plan of Urban Rail Train Considering Carbon Emissions Impacts[J]. Journal of Transport Information and Safety, 2023, 41(5): 176-184. doi: 10.3963/j.jssn.1674-4861.2023.05.018
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A Method for Developing Service Plan of Urban Rail Train Considering Carbon Emissions Impacts

doi: 10.3963/j.jssn.1674-4861.2023.05.018
  • 1.

    School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China

  • 2.

    State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

  • Received Date: 2023-09-02
    Available Online: 2024-01-18
    Abstract
  • An unreasonable train service plan may result in poor comfort level, high operating costs, and high carbon emissions. In order to deal with these issues, a method for train service plan considering carbon emission is established in the context of multi-routing and multi-marshalling modes. Specifically, passenger comfort and carbon emissions are introduced into the objective function and constraints regarding capacity, service frequency, and terminal station arrangements are also considered. Considering the complexity and high dimensionality of the problem, improvements are made in the honey source updating strategy of the classic artificial bee colony (ABC) algorithm, which is adopted to solve the optimization problem. Experiments are conducted to calibrate the parameters. A computational analysis is conducted to evaluate the impact of weights of objective functions on the solutions. Furthermore, the solutions of this model are compared to those from the models in the context of single-route and single-marshalling mode. Additionally, solution quality and convergence speed of the proposed algorithm are compared to those using the traditional ABC algorithm. The results indicate that: ① The objective function value is negatively correlated with its weight coefficients, and the change range of objective function value is limited due to the limited solution space. ② The operating costs is decreased by 18.22% and carbon emissions by 18.17% compared to those under the single routing mode, both of which show significant reductions. ③ In contrast to those under the single marshalling mode, the travel cost, operating cost and carbon emissions are decreased by 3.37%, 3.12% and 3.32%, respectively. All objective function values are improved. ④ Comparing to the traditional ABC algorithm, the proposed algorithm achieves a 2.49% decrease in the total objective value, and the convergence speed is improved by 12.84%. The results verify the effectiveness of the proposed method in reducing operation costs and carbon emissions.

     

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    • References(22)
  • [1]
    周琪, 梁肖, 黄俊生, 等. 城市轨道交通碳排放效率与影响因素研究[J]. 交通运输系统工程与信息, 2023, 23(1): 230-38, 85.

    ZHOU Q, LIANG X, HUANG J S, et al. Carbon emission efficiency and influencing factors analysis of urban rail transits[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(1): 230-38, 85. (in Chinese)
    [2]
    潘寒川, 陆俊波, 胡华, 等. 客货混运下的城轨时刻表与流量控制协同优化研究[J]. 交通运输系统工程与信息, 2023, 23(2): 187-196.

    PAN H C, LU J B, HU H, et al. Collaborative optimization of urban rail timetable and flow control under mixed passenger and freight transportation[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23 (2): 187-196. (in Chinese)
    [3]
    马阳阳, 孟学雷, 贾宝通, 等. 基于列车运行时间偏差惩罚的高速列车节能优化方法[J]. 交通信息与安全, 2021, 39 (4): 84-91. doi: 10.3963/j.jssn.1674-4861.2021.04.011

    MA Y Y, MENG X L, JIA B T, et al. An energy-saving optimization method of high-speed trains based on time deviation penalty during train operation[J]. Journal of Transport Information and Safety, 2021, 39(4): 84-91. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2021.04.011
    [4]
    刘杰, 彭其渊, 殷勇. 低碳背景下的多式联运路径规划[J]. 交通运输系统工程与信息, 2018, 18(6): 243-249.

    LIU J, PENG Q Y, YIN Y. Multimodal transportation route planning under low carbon emissions background[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(6): 243-249. (in Chinese)
    [5]
    林立, 孟学雷, 程晓卿, 等. 疫情常态化防控条件下城轨列车开行方案研究[J]. 铁道科学与工程学报, 2022, 19(12): 3515-3525.

    LIN L, MENG X L, CHENG X Q, et al. Research on train operation plan of urban rail transit under the condition of normalized epidemic prevention and control[J]. Journal of Railway Science and Engineering, 2022, 19(12): 3515-3525. (in Chinese)
    [6]
    李依娜, 孟学雷, 秦永胜, 等. 多网融合条件下市域列车开行方案编制方法[J]. 交通信息与安全, 2023, 41(2): 129-138. doi: 10.3963/j.jssn.1674-4861.2023.02.014

    LI Y N, MENG X L, QIN Y S, et al. A method for developing operation plans of community railways under the condition of multi-network integration[J]. Journal of Transport Information and Safety, 2023, 41(2): 129-138. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2023.02.014
    [7]
    许得杰, 毛保华, 陈绍宽, 等. 考虑开行比例的大小交路列车开行方案优化[J]. 交通运输工程学报, 2021, 21(2): 173-186.

    XU D J, MAO B H, CHEN S K, et al. Optimization of operation scheme for full-length and short-turn routings considering operation proportion[J]. Journal of Traffic and Transportation Engineering, 2021, 21(2): 173-186. (in Chinese)
    [8]
    石俊刚, 杨静, 周峰, 等. 地铁快慢车运行计划综合优化模型[J]. 交通运输工程学报, 2018, 18(1): 130-138. doi: 10.3969/j.issn.1671-1637.2018.01.012

    SHI J G, YANG J, ZHOU F, et al. Integrate optimization model of operation schedule for metro express/local train[J]. Journal of Traffic and Transportation Engineering, 2018, 18 (1): 130-138. (in Chinese) doi: 10.3969/j.issn.1671-1637.2018.01.012
    [9]
    陈治亚, 欧阳灏, 徐光明, 等. 基于出行可靠性的城轨线路多时段发车频率优化[J]. 铁道科学与工程学报, 2022, 19 (12): 3526-3535.

    CHEN Z Y, OUYANG H, XU G M, et al. Multi-period frequency optimization of urban rail lines based on travel reliability[J]. Journal of Railway Science and Engineering, 2022, 19(12): 3526-3535. (in Chinese)
    [10]
    杨安安, 孙继营, 汪波, 等. 基于虚拟编组技术的大小交路列车开行方案优化[J]. 北京交通大学学报, 2022, 46 (4): 9-14.

    YANG A A, SUN J Y, WANG B, et al. Optimization of virtual-coupling-orientated train operation plan based on full-length and short-turn routing[J]. Journal of Beijing Jiaotong University, 2022, 46(4): 9-14. (in Chinese)
    [11]
    DING X Q, GUAN S T, SUN D J, et al. Short turning pattern for relieving metro congestion during peak hours: the substance coherence of Shanghai, China[J]. European Transport Research Review, 2018, 10(2): 1-11.
    [12]
    LI Z Y, ZHAO J, PENG Q Y. Train service design in an urban rail transit line incorporating multiple service routes and multiple train compositions[J]. Transportation Research Part C: Emerging Technologies, 2021, 123: 102959. doi: 10.1016/j.trc.2020.102959
    [13]
    LIN L, MENG X L, CHENG X Q, et al. Train service plan design under the condition of multimodal rail transit systems integration and interconnection[J/OL]. (2023-02-14)[2023-09-29]. https://doi.org/10.1155/2023/8275191.
    [14]
    戴延泽, 占曙光. 考虑碳排放的城轨开行大小交路方案分析[J]. 铁道科学与工程学报, 2022, 19(12): 3546-3556.

    DAI Y Z, ZHAN S G. Analysis of full-length and short-turn routing of urban rail transit considering carbon emission[J]. Journal of Railway Science and Engineering, 2022, 19 (12): 3546-3556. (in Chinese)
    [15]
    HUANG K, LIAO F X, GAO Z Y. An integrated model of energy-efficient timetabling of the urban rail transit system with multiple interconnected lines[J]. Transportation Research Part C: Emerging Technologies, 2021, 129: 103171. doi: 10.1016/j.trc.2021.103171
    [16]
    姚恩建, 张金萌, 郇宁. 效率与公平导向下城轨大小交路开行方案优化[J]. 华南理工大学学报(自然科学版), 2020, 48(5): 41-48, 57.

    YAO E J, ZHANG J M, HUAN N. Equality-efficiency balance-oriented optimization of long-short route strategy in urban rail transit[J]. Journal of South China University of Technology (Natural Science Edition), 2020, 48(5): 41-48, 57. (in Chinese)
    [17]
    汤莲花, 徐行方. 基于双层规划的市郊轨道交通多交路快慢车开行方案优化研究[J]. 交通运输系统工程与信息, 2018, 18(3): 152-159.

    TANG L H, XU X F. Optimizing train plan with multi-routing and express-local modes for suburban rail transit based on bi-level programming[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18 (3): 152-159. (in Chinese)
    [18]
    GEERLINGS H, VAN DUIN R. A new method for assessing CO2-emissions from container terminals: a promising approach applied in Rotterdam[J]. Journal of Cleaner Production, 2011, 19(6): 657-666.
    [19]
    林立. 应急条件下区域城际列车开行方案研究[D]. 兰州: 兰州交通大学, 2019.

    LIN L. Study on regional intercity train operation plan under emergency condition[D]. Lanzhou: Lanzhou Jiaotong University, 2019. (in Chinese)
    [20]
    HAN Z L, CHEN M, SHAO S Y, et al. Improved artificial bee colony algorithm-based path planning of unmanned autonomous helicopter using multi-strategy evolutionary learning[J]. Aerospace Science and Technology, 2022, 122: 107374. doi: 10.1016/j.ast.2022.107374
    [21]
    ETMINANIESFAHANI A, GU H, SALEHIPOUR A. ABFIA: A hybrid algorithm based on artificial bee colony and Fibonacci indicator algorithm[J]. Journal of Computational Science, 2022, 61(5): 101651.
    [22]
    WANG Y C, JIAO J, LIU J H, et al. A labor division artificial bee colony algorithm based on behavioral development[J]. Information Sciences: An International Journal, 2022, 606: 152-172. doi: 10.1016/j.ins.2022.05.065
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