Tracks and topics
Potential Topics Include, but are not Limited to:
AI-Driven Traffic Monitoring and Control
- AI-Driven Traffic Monitoring and Control Systems.
- Real-Time Traffic Flow Optimization.
- Congestion Prediction and Mitigation.
- Adaptive Traffic Signal Control.
- Smart Intersection Management.
Accident Analysis and Prediction
- Intelligent Accident Prediction and Prevention Models.
- Data Analytics for Traffic Incident Forecasting.
- AI-Based Emergency Response and Accident Mitigation.
- Digital Twins for Road Safety Simulation and Optimization.
- Predictive Maintenance of Road Infrastructure using AI.
Computer Vision and Perception
- Computer Vision for Road Hazard and Obstacle Detection.
- Computer Vision for Lane Departure and Collision Warning Systems.
- AI for Pedestrian and Cyclist Safety Enhancement.
- Smart Sensors and IoT for Real-Time Road Safety Management.
- Edge and Cloud Computing for Smart Transportation Systems.
Driver Behavior and Human–AI Interaction
- Deep Learning for Driver Behavior Analysis.
- Human–AI Collaboration for Safer Mobility.
- Cognitive AI and Human Factors in Driving.
- Explainable and Ethical AI for Driving Decisions.
- Human Trust and Acceptance of AI Systems.
Smart Vehicles and Infrastructure
- Autonomous Vehicles and Safe Navigation Algorithms.
- Integration of AI with Intelligent Transportation Infrastructure.
- Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) Communication.
- AI for Traffic Violation Detection and Law Enforcement.
- Multimodal Transportation Safety Optimization with AI.
Policy, Governance, and Sustainable Mobility
- Ethical and Legal Aspects of AI Applications in Road Safety.
- Federated and Privacy-Preserving AI in Transportation Networks.
- Smart City Mobility and Intelligent Road Networks.
- Big Data and Machine Learning for Road Safety Analytics.
- AI for Sustainable and Safe Mobility.
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