1. Intelligent Transportation Systems

1.1 Traffic Modeling and Simulation

• Dynamic and data-driven traffic modeling

• Optical simulation and visualization for Digital Twin transportation systems

• Big data applications in traffic demand forecasting

• Optical sensing data for traffic model calibration and validation

1.2 AI and Data Analytics in Transportation

• Machine learning and cloud computing in traffic analysis

• Data analysis in large-scale transportation systems

• Artificial intelligence for traffic safety and risk management

• Multi-spectral and hyperspectral image processing for traffic monitoring

1.3 Connected and Cooperative Systems

• Internet of Things (IoT) and Vehicle-to-Everything (V2X) communication

• Collaborative computing architecture in transportation systems

• Intermodal transportation and smart logistics

• Optical

1.4 Traffic Management and Optimization

• Optical-based traffic monitoring and adaptive signal control

• Traffic flow coordination and optimization

• Sustainable mobility and energy-efficient transportation solutions

• Optical sensing for smart road and infrastructure health monitoring

1.5 Emerging Applications and Policy

• Shared mobility and Mobility as a Service (MaaS)

• Electric vehicles and infrastructure planning

• Advanced cases and real-world deployments

• Optical sensing and display technologies for augmented reality navigation and HUDs

2. Automation Control

2.1 Autonomous Vehicle Control and Planning

• Advanced vehicle control theory and dynamics modeling

• Intelligent path planning and trajectory optimization

• Ultra-low latency optical networks for real-time vehicle vontrol and platooning

• Solid-state LiDAR, optical phased arrays, and 3D vision for autonomous vehicles

2.2 Decision-Making and AI in Automation

• Optical computing and AI for autonomous decision-making

• Multi-agent decision-making and game-theoretic control

• Human-computer interaction and trust modeling

• Explainable AI for optical sensor-based perception systems

2.3 Sensing, Communication, and Connectivity

• Multimodal sensing technology and data fusion

• Optical sensing and perception for autonomous systems

• Optical inertial navigation systems and high-precision optical positioning

• Low-latency applications of 6G and edge computing 6G

2.4 Safety, Reliability, and Systems Integration

• Vehicle collision avoidance and mitigation

• Diagnosis, fault tolerance, and reliability of autonomous driving systems

• In-vehicle network security and intrusion detection

• Optical-based testing, verification, and validation for autonomous systems

2.5 Emerging Trends in Automation

• Unmanned aerial vehicle (UAV) traffic management

• Optical guidance and positioning for automated valet parking

• Advanced driver assistance systems (ADAS) and human-vehicle collaboration

• Optical communication and control in networked automation