高铁综合交通枢纽客流协同管控优化关键技术  

Key technologies for collaborative control and optimization of passenger flow in high-speed railway integrated transportation hubs

作　　者：熊刚[1] 刘小明[2] 张涛 朱凤华[1] 刘璐菲 乔曜芩 XIONG Gang;LIU Xiaoming;ZHANG Tao;ZHU Fenghua;LIU Lufei;QIAO Yaoqin(State Key Laboratory of Multimodal Artificial Intelligence Systems,Institute of Automation,Chinese Academy ofSciences,Beijing 100190,China;School of Electrical and Control Engineering,North China University ofTechnology,Beijing 100144,China;Signal and Communication Research Institute,China Academy of RailwayScience Corporation Limited,Beijing 100081,China)

机构地区：[1]中国科学院自动化研究所多模态人工智能系统全国重点实验室,北京100190 [2]北方工业大学电气与控制工程学院,北京100144 [3]中国铁道科学研究院集团有限公司通信信号研究所,北京100081

出　　处：《铁路计算机应用》2023年第8期63-67,共5页Railway Computer Application

基　　金：国家自然科学基金项目(U1909204);中国国家铁路集团有限公司科技研究开发计划项目(L2022X002);国家铁路智能运输系统工程技术研究中心开放课题(RITS2021KF03);广东省重点领域研发计划项目(2020B0909050001)。

摘　　要：针对高速铁路综合交通枢纽(简称:枢纽)客流协同管控方法主要关注单一场景、缺乏灵活性及适应性等问题,从常态和非常态两种情况出发,对我国枢纽客流协同管控方法的研究现状进行分析,并重点论述了枢纽客流协同管控优化的关键技术。阐述了常态情况下的复杂流线分析技术和动、静态信息实时匹配度量方法,以及非常态情况下的动态瓶颈点识别与预测方法和应急协同调度与决策方法。对我国枢纽的建设和发展具有参考作用。In response to the issues of single scenario,lack of flexibility,and adaptability in passenger flow collaborative management and control methods for high-speed railway comprehensive transportation hubs(referred to as hubs),this paper analyzed the current research status of passenger flow collaborative management and control methods for hubs in China from both normal and abnormal situations,and focused on the key technologies for optimizing passenger flow collaborative management and control of hubs.The paper elaborated on complex streamline analysis techniques under normal conditions,and real-time matching measurement methods of dynamic and static information,as well as dynamic bottleneck point identification and prediction methods and emergency collaborative dispatching and decision-making methods under abnormal conditions.It has reference value for the construction and development of hubs in China.

关 键 词：高速铁路综合交通枢纽 客流协同管控 复杂流线 动态瓶颈识别 应急协同调度 

分 类 号：U238[交通运输工程—道路与铁道工程] U115[自动化与计算机技术—计算机应用技术] TP39[自动化与计算机技术—计算机科学与技术]