基于IC卡识别通勤客流的公交线路多模式调度

doi:10.3969/j.issn.1007-7375.2018.05.011

工业工程 ›› 2018, Vol. 21 ›› Issue (5): 81-86.doi: 10.3969/j.issn.1007-7375.2018.05.011

基于IC卡识别通勤客流的公交线路多模式调度

罗孝羚^1,2, 蒋阳升^1,2, 吴奇^1,2, 姚志洪^1,2, 李思怡^1,2

1. 西南交通大学交通运输与物流学院, 四川成都 610031;
2. 西南交通大学综合交通运输智能化国家地方联合工程实验室, 四川成都 610031

收稿日期:2017-05-02 出版日期:2018-10-30 发布日期:2018-11-05
作者简介:罗孝羚(1991-),男,湖南省人,博士研究生,主要研究方向为城市公共交通
基金资助:
国家自然科学基金资助项目（50678153）；国家自然科学基金青年项目（71402149）；重庆市应用开发计划重点项目（cstc2014yykfB30003，2015H01373）

A Transit Multi-mode Scheduling Research Based on Commuter Flow

LUO Xiaoling^1,2, JIAYNG Yangsheng^1,2, WU Qi^1,2, YAO Zhihong^1,2, Li Siyi^1,2

1. School of Transportation and Logistics;
2. National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, China

Received:2017-05-02 Online:2018-10-30 Published:2018-11-05

摘要/Abstract

摘要： 为解决现有的公交调度方式忽略了线路站点间空间客流分布的不均匀性，使得线路运行效率不高，本文提出了一种根据通勤客流构建单线路的多种调度模型，并设计相应算法，求解出在时间上和空间上与客流需求匹配调度模式。最后选取绵阳市一条实际的公交线路，进行案例分析，结果表明，通过该方式，高峰时段乘客总体时间比原来减少了5 290.9 min，优化效率高达13.93%，表明该方法能够节约乘客出行时间，提高线路运行效率。

关键词: 城市交通, 调度模式, 公交IC卡, 遗传算法

Abstract: In order to solve the existing bus scheduling flaws of ignoring spatial distribution between line stations and low operation efficiency of the lines, a kind of scheduling model of single line based on commutation passenger flow is proposed, and the corresponding algorithm is designed to solve the scheduling model with the requirement of passenger flow in time and space. Lastly, a bus line of Mianyang City is used in an actual case analysis, and the result shows that in this way, the peak passenger overall time is reduced by 5 290.9 min, with the optimization efficiency as high as 13.93%, which indicates that the method can save the passenger travel time and improve the efficiency of the line.

Key words: urban transportation, scheduling mode, transit IC card, genetic algorithm

中图分类号:

U491

罗孝羚, 蒋阳升, 吴奇, 姚志洪, 李思怡. 基于IC卡识别通勤客流的公交线路多模式调度[J]. 工业工程, 2018, 21(5): 81-86.

LUO Xiaoling, JIAYNG Yangsheng, WU Qi, YAO Zhihong, Li Siyi. A Transit Multi-mode Scheduling Research Based on Commuter Flow[J]. Industrial Engineering Journal , 2018, 21(5): 81-86.

参考文献

[1] COLLINS C, HASAN S, UKKUSURI S V. A novel transit rider satisfaction metric:Rider sentiments measured from online social media data[J]. Journal of Public Transportation, 2013, 16(2):21-45.
[2] LEE Y Y, BALDICK R. A frequency-constrained stochastic economic dispatch model[J]. Power Systems, IEEE Transactions on, 2013, 28(3):2301-2312.
[3] 胡继华, 邓俊, 黄泽. 结合出行链的公交IC卡乘客下车站点判断概率模型[J]. 交通运输系统工程与信息, 2014, 14(2):62-67. HU Jihua, DENG Jun, HUANG Ze. Trip-chain based probability model for identifying alighting stations of smart card passengers[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(2):62-67.
[4] 芦方强, 陈学武, 胡晓健. 基于公交OD数据的居民公交出行特征研究[J]. 交通运输工程与信息学报, 2010, 8(2):31-36. LU Fangqiang, CHEN Xuewu, HU Xiaojian. Characteristic research of resident's bus trip based on bus OD data[J]. Journal of Transportation Engineering and Information, 2010, 8(2):31-36.
[5] 赵新. 厦门市快速公交系统出行链特征指标调查研究[J]. 城市公共交通, 2012(11):37-41. ZHAO Xin. Investigation research on the characteristic index of Xiamen bus rapid transit system passengers travel chain[J]. Urban Public Transport, 2012(11):37-41.
[6] NIJLAND L, DIJST M. Commuting-related fringe benefits in the Netherlands:Interrelationships and company, employee and location characteristics[J]. Transportation Research Part A:Policy and Practice, 2015, 77(1):358-371.
[7] CHEN J, LIU Z, ZHU S, et al. Design of limited-stop bus service with capacity constraint and stochastic travel time[J]. Transportation research part E:logistics and transportation review, 2015, 83:1-15.
[8] 徐大伟, 裴玉龙. 公共交通大站快车调度模型[J]. 哈尔滨工业大学学报, 2008, 40(4):580-584. XU Dawei, PEI Yulong. Express bus scheduling model and application[J]. Journal of Harbin Institute of Technology, 2008, 40(4):580-584.
[9] 魏明, 陈学武, 孙博. 配合大站快车的单线公交组合调度模型[J]. 交通运输系统工程与信息, 2015(2):136-142. WEI Ming, CHEN Xuewu, SUN Bo. A model and an algorithm of schdule coordination for multi-mode regional bus transit[J]. Journal of Highway and Transportation Research and Development, 2015(2):136-142.
[10] LEIVA C, MUÑOZ J C, GIESEN R, et al. Design of limited-stop services for an urban bus corridor with capacity constra-ints[J]. Transportation Research Part B:Methodological, 2010, 44(10):1186-1201.
[11] 孙祥龙, 陆建. 公交站点间行程时间估计[J]. 武汉理工大学学报(交通科学与工程版), 2013, 37(1):67-70. SUN Xianglong, LU Jian. Travel time estimation between bus stops[J]. Journal of Wuhan University of Technology(Transportation Science & Engineering), 2013, 37(1):67-70.
[12] DEVILLAINE F, MUNIZAGA M, TRÉPANIER M. Detection of activities of public transport users by analyzing smart card data[J]. Journal of the Transportation Research Board, 2012(2276):48-55.
[13] DEWULF B, NEUTENS T, VANLOMMEL M, et al. Examining commuting patterns using floating car data and circular statistics:Exploring the use of new methods and visualizations to study travel times[J]. Journal of Transport Geography, 2015, 48(1):41-51.
[14] 邓伟伟. 基于IC卡数据的OD矩阵生成技术及其应用研究[D]. 成都:电子科技大学, 2015. DENG Weiwei. Research on generation and application of OD matrix based on bus IC card data[D]. Chengdu:University of Electronic Science and Technology of China, 2015.
[15] HU X H, ZHANG Y. The application of fluid analogy method for estimating transit route ODs using IC card on-off passenger data[J]. Applied Mechanics and Materials, 2014, 694(1):73-79.
[16] CEDER A. Public transit planning and operation[M]. London:Butterworth-Heinemann, 2007.
[17] TRÉPANIER M, TRANCHANT N, CHAPLEAU R. Individual trip destination estimation in a transit smart card automated fare collection system[J]. Journal of Intelligent Transportation Systems, 2007, 11(1):1-14.

基于IC卡识别通勤客流的公交线路多模式调度

A Transit Multi-mode Scheduling Research Based on Commuter Flow

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	张正敏, 管在林, 岳磊. 基于Lévy Flight的混合GA在柔性作业车间调度问题中的性能分析[J]. 工业工程, 2021, 24(4): 83-92.
[2]	王晓军, 王博, 晋民杰, 杨春霞, 白新利. 改进多种群遗传算法的AutoStore系统多AGV调度优化[J]. 工业工程, 2021, 24(4): 112-118,167.
[3]	王莹莹, 吴立云. 基于改进NSGA-II的多项目多技能人力资源调度研究[J]. 工业工程, 2021, 24(3): 130-138.
[4]	曾创锋, 刘建军, 陈庆新, 毛宁. 求解一类无关并行机调度的遗传迭代贪心算法[J]. 工业工程, 2021, 24(2): 110-118.
[5]	黄露, 纪延光. 考虑顾客延误损失的配送中心选址双层规划问题研究[J]. 工业工程, 2021, 24(2): 141-147.
[6]	王冰怡, 张锦. 考虑网点共享与变更的多级快递网点选址问题[J]. 工业工程, 2021, 24(2): 155-165.
[7]	马跃如, 文铮, 易丹. 考虑老年人满意度的多目标居家养老护理员路径优化[J]. 工业工程, 2021, 24(1): 74-81,103.
[8]	王玖河, 高辉, 刘欢. 基于遗传算法的共享助力车调度问题研究[J]. 工业工程, 2021, 24(1): 90-96.
[9]	吴斌, 宋琰, 程晶, 董敏. 基于密度峰值聚类的VRPTW问题研究[J]. 工业工程, 2020, 23(5): 58-66,74.
[10]	王苏林, 邱菲尔, 陈凡, 刘川昆, 鹿腾, 王芷芸. 基于贪心遗传的地下物流节点选择规划研究[J]. 工业工程, 2020, 23(5): 88-95.
[11]	侯艳, 黄康焕, 张亿仙, 伍乃骐. 原油一次加工过程的多目标调度优化[J]. 工业工程, 2020, 23(4): 131-139.
[12]	王泽, 杨信丰, 刘兰芬. 考虑电量消耗的车辆调度优化研究[J]. 工业工程, 2020, 23(4): 140-147.
[13]	曾垂飞, 刘建军, 陈庆新, 毛宁. 装配作业车间分批调度问题的算法对比[J]. 工业工程, 2020, 23(4): 174-182.
[14]	张巍, 李鹏翔, 仝自强, 岳毅蒙. 基于损坏车辆分布预测与损益阈值分析下的共享单车回收研究[J]. 工业工程, 2020, 23(3): 132-137.
[15]	张国辉, 胡一凡, 孙靖贺. 改进遗传算法求解多时间约束的柔性作业车间调度问题[J]. 工业工程, 2020, 23(2): 19-25,48.