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Track Ⅴ

Prediction, Optimization, and Control in Smart Transportation and Future Mobility
智能交通与未来出行中的预测、优化与控制
Submission Deadline: June 15, 2026  
     
Chair:    
   
Hongtao Li    
Lanzhou Jiaotong University, China    
     
Keywords:    
  • Intelligent Transportation (智能交通)
  • Future Mobility (未来出行)
  • Traffic Prediction (交通预测)
  • Green and Low-Carbon (绿色低碳)
  • Traffic Optimization (交通优化)
  • Traffic Control (交通控制)
  • Intelligent Transportation Systems (智能交通系统)
  • Travel Demand Management (出行管理)
     
Topics:    
  • Traffic Prediction and Traffic State Assessment (交通预测与交通状态评估)
  • Passenger Demand Analysis and Travel Behavior Modeling (客流需求分析与出行行为建模)
  • Transportation Network Optimization and Performance Enhancement (交通网络优化与效能提升)
  • Traffic Signal Control and Adaptive Traffic Management (交通信号控制与自适应交通管理)
  • Public Transit Operation Optimization and Service Design (公共交通运营优化设计)
  • Multi-Source Traffic Big Data Fusion and Spatio-Temporal Modeling (多源交通大数据融合与时空建模)
  • Perception, Decision-Making, and Control in Autonomous Driving and Connected Vehicles (自动驾驶与车联网中的感知、决策与控制)
  • Green and Low-Carbon Mobility and Sustainable Transportation Optimization (绿色低碳出行与可持续交通优化)
     
Summary:    
  • This session focuses on prediction, optimization, and control in smart transportation, addressing the urgent need for efficient, safe, sustainable, and intelligent mobility management. It targets researchers, engineers, and practitioners in transportation, AI, urban mobility, autonomous driving, and intelligent decision-making, aiming to exchange advanced methods and promote practical applications of data-driven prediction, system optimization, and adaptive control.
     
  • 本专题聚焦智能交通中的预测、优化与控制，旨在回应未来出行对高效、安全、绿色和智能化交通管理的迫切需求。专题面向交通运输、人工智能、城市出行、自动驾驶及智能决策等领域的研究者、工程师和行业实践者，预期促进前沿方法交流，推动数据驱动交通预测、系统优化与自适应控制技术在实际交通场景中的应用。