Track Ⅷ
Emergency Management and Passenger Flow Analysis of Urban Rail Transit
(城市轨道交通应急管理与客流分析)
Chair: | Co-chair: |
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Yongyi Li | Zhenjun Zhu |
Nanjing Tech University, China | Nanjing Forestry University, China |
Keywords: | Topics: |
· Operational Disruption (运营中断) · Contingency Management (应急管理) · Station Passenger Flow Prediction (站点客流预测) · Network Passenger Flow Analysis (网络客流分析) · Reliability and Resilience (可靠性与韧性) · Networked Operation (网络化运营) | · Operation Disruption & Emergency Management (运营中断与应急管理) Early Warning and Response to Rail Transit Incidents (轨道交通突发事件预警与响应) Emergency Decision-Support Systems with Multi-Source Data Fusion (多源数据融合的应急决策 支持系统) · Passenger Flow Modeling & Simulation (客流建模与仿真) Estimation/Prediction of Station/Hub Passenger Flow (站点/枢纽客流预测) Network-Wide Flow Distribution and Congestion Propagation (网络客流动态分配与拥堵传播分 析) · System Reliability & Resilience (系统可靠性与韧性) Resilience Assessment Under Extreme Events (极端事件下的轨道交通韧性评估) Redundancy Design and Recovery Strategy Optimization (冗余设计与恢复策略优化) · Smart Technology Applications (智能技术应用) AI/Big Data for Passenger Flow Analysis and Emergency Management (AI与大数据在客流分析 和应急管理中的应用) Digital Twin and Simulation Platform Development (数字孪生与仿真平台开发) · Interdisciplinary Research (跨学科研究) Behavioral Analysis and Evacuation Modeling (行为分析与乘客疏散建模) Impact of Policies/Standards on Emergency Efficiency (政策与标准对应急效能的影响) |
Summary:
· This special session focuses on "Emergency Management and Passenger Flow Analysis in Urban Rail Transit", addressing critical issues such as operation disruptions, emergency response, dynamic passenger flow modeling, and system resilience optimization. With the expansion of urban rail networks, effective emergency management, accurate passenger flow prediction, and enhanced system reliability have become key research areas. Topics range from station-levelflow estimation to network-wide flow analysis, as well as applications of big data and AI in emergency decision-making. Scholars are invited to share theoretical innovations, case studies, and technical practices to advance the efficiency and safety of intelligent rail transit systems.
· 本专题聚焦“城市轨道交通应急管理与客流分析”，旨在探讨运营中断、应急响应、客流动态模拟及系统韧性优化等关键问题。随着城市轨道交通网络规模的扩大，突发事件的应急管理、客流精准预测及系统可靠性提升成为研究热点。专题将涵盖从站点级客流估计到网络级客流分析的技术方法，以及大数据、AI在应急决策中的应用。欢迎相关领域的学者分享理论创新、案例分析及技术实践，共同推动智能轨道交通系统的高效与安全发展。
Submission Deadline: 2025.9.30