Information Service Frequency of Urban Rail Transit Based on Passenger Flow Dissipation Rate

被引:0
|
作者
Zhou, Huijuan [1 ,2 ]
Liu, Yu [3 ]
Li, Bei [4 ]
Zhang, Zhe [2 ]
机构
[1] Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing,100144, China
[2] State Key Laboratory of Rail Traffic Control and Safety (Beijing Jiaotong University), Beijing,100044, China
[3] Beijing Engineering Consulting Co. Ltd, Beijing,100124, China
[4] Institute of Transportation Engineering, Tsinghua University, Beijing,100084, China
来源
Mobile Information Systems | 2022年 / 2022卷
关键词
All Open Access; Gold;
D O I
暂无
中图分类号
学科分类号
摘要
12
引用
收藏
相关论文
共 50 条
  • [1] Information Service Frequency of Urban Rail Transit Based on Passenger Flow Dissipation Rate
    Zhou, Huijuan
    Liu, Yu
    Li, Bei
    Zhang, Zhe
    [J]. MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [2] Evolution Mechanism of Congestion and Dissipation of Sudden Passenger Flow in Urban Rail Transit Based on Cellular Automaton
    Jiang Y.-S.
    Liu W.-T.
    Yao Z.-H.
    [J]. Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2020, 20 (05): : 121 - 127
  • [3] Forecast of Passenger Flow of Urban Rail Transit Based on the DNNC Model
    Li, Wei
    Zhou, Min
    Dong, Hairong
    Wu, Xingtang
    Zhang, Qi
    [J]. PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 4615 - 4620
  • [4] The Effects of Weather on Passenger Flow of Urban Rail Transit
    Wang, Xiaoyuan
    Guo, Yongqing
    Bai, Chenglin
    Liu, Shanliang
    Liu, Shijie
    Han, Junyan
    [J]. CIVIL ENGINEERING JOURNAL-TEHRAN, 2020, 6 (01): : 11 - 20
  • [5] Characteristics of Urban Rail Transit Passenger Flow in Chongqing
    Zhao, Ruili
    Zhang, Zhizhong
    Cheng, Fang
    Tang, Hongzhi
    [J]. 2ND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING, INFORMATION SCIENCE AND INTERNET TECHNOLOGY, CII 2017, 2017, : 452 - 458
  • [6] Resilience analysis of an urban rail transit for the passenger travel service
    Ma, Zhiao
    Yang, Xin
    Shang, Wenlong
    Wu, Jianjun
    Sun, Huijun
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2024, 128
  • [7] Study on Information Release of Urban Rail Transit Passenger Flow Induced under Emergencies
    Tang, Han
    Xu, Jie
    Guo, Jianyuan
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON SOFT COMPUTING IN INFORMATION COMMUNICATION TECHNOLOGY, 2014, : 127 - 130
  • [8] Modeling passenger flow distribution based on disaggregate model for urban rail transit
    [J]. Wang, D.-L. (11120993@mail.bjtu.edu.cn), 1600, Springer Verlag (215):
  • [9] Passenger Flow Prediction of Urban Rail Transit Based on Deep Learning Methods
    Xiong, Zhi
    Zheng, Jianchun
    Song, Dunjiang
    Zhong, Shaobo
    Huang, Quanyi
    [J]. SMART CITIES, 2019, 2 (03): : 371 - 387
  • [10] STATION PASSENGER FLOW FORECAST FOR URBAN RAIL TRANSIT BASED ON STATION ATTRIBUTES
    He, Zhiying
    Wang, Bo
    Huang, Jianling
    Du, Yong
    [J]. 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS), 2014, : 410 - 414