The 10th International Conference on Intelligent Traffic and Transportation (ICITT 2026) explores intelligent traffic and transportation systems, focusing on optimization, automation, safety, and smart infrastructure enabled by advanced technologies and data-driven approaches
Key Topics
- Smart mobility and traffic optimization
- Traffic flow modeling and optimization
- Vehicle routing and logistics planning
- Fleet and transit operations management
- Travel behavior and demand modeling
- Last-mile delivery and sustainable mobility
- Air traffic and flight optimization systems
- Autonomous and connected transport systems
- Connected and autonomous vehicles
- Cooperative driving technologies
- Vehicle-to-everything communication
- Localization, navigation and object tracking
- Intelligent sensing for vehicles and control
- Datasets and platforms for ITS applications
- Public transportation and network systems
- Public transport planning and scheduling
- Network design and reliability analysis
- Timetabling and resource allocation
- Real-time transport control and operations
- Mobility-as-a-service systems
- Collaborative and ICT-enabled transport solutions
- Traffic safety and smart city management
- Accident detection and anomaly prediction
- Incident management and evacuation planning
- Cybersecurity in transportation systems
- Safety assessment and risk analysis
- Deep learning and explainable AI for traffic
- Connected ITS impact on safety and efficiency
- Infrastructure and intelligent transportation systems
- Smart road infrastructure and facilities design
- Road damage detection and monitoring
- Advanced transportation safety systems
- AI and machine learning applications in ITS
- Behavioral modeling in transportation systems
- Policy, regulatory and societal aspects
Who should Attend
- Researchers and academics in transportation and intelligent systems
- Engineers in traffic, mobility and infrastructure development
- Professionals in autonomous vehicles and smart mobility
- Urban planners and smart city specialists
- Data scientists and AI experts in transportation
- Public transportation operators and policymakers
- Industry practitioners in logistics and mobility solutions
