(Including but not limited to the following topics)
Track 1: Intelligent Transportation System
Theory and Architecture of Intelligent Transportation System
Vehicular-Infrastructure Collaboration and Autonomous Driving
Traffic Flow Modeling and Simulation
Traffic Signal Control and Optimization
Traffic Sensing and Multi-Sensor Fusion
Traffic Big Data Analysis and Prediction
Intelligent Connected Vehicle Technology
Traffic Information and Communication System
Traffic Emissions and Green Transportation
Traffic Safety and Risk Assessment
Track 2: Optimization Algorithms and Scheduling
Combinatorial Optimization and Integer Programming
Stochastic and Robust Optimization
Dynamic Programming and Sequential Decision Making
Network Optimization and Graph Algorithms
Meta-heuristics and Evolutionary Algorithms
Machine Learning-Assisted Optimization
Reinforcement Learning and Decision Optimization
Multi-Objective Optimization and Pareto Front
Real-Time Optimization and Online Scheduling
Large-Scale System Optimization Methods
Track 3: Transportation Scheduling and Planning Applications
Vehicle Routing and Scheduling Optimization
Bus Scheduling and Schedule Optimization
Logistics Distribution and Supply Chain Scheduling
Multi-modal Transport and Hub Collaboration
Traffic Network Design and Flow Allocation
Shared Mobility and Ride-Hailing Scheduling
Emergency Transportation and Evacuation Planning
Parking Management and Scheduling
Low-Flying Transportation and Drone Scheduling
Intelligent Scheduling System Integration and Application