Call for Papers
Designing a smart autonomous transportation system is one of the key factors of building safe and sustainable smart cities. In the age of softwarization and artificial intelligence, introducing intelligent transportation solutions to our cities offers various range of benefits including reliable and efficient traffic management in safer streets. Such transportation systems combined with cutting-edge vehicular and wireless network technologies face several unprecedented challenges. These include adapting vehicular cloud and network services to the dynamic user requirements, managing available cloud computing resources, big data analytics, connected vehicle network security issues, service composition, and power management.
The aim of the Fifth International Workshop on Intelligent Transportation and Autonomous Vehicles Technologies (ITAVT) is to bring together engineers, researchers and practitioners interested in the intelligent transportation and vehicle technology advances. Participants are invited to present and discuss recent developments and challenges in intelligent transportation systems. This workshop focuses on innovative applications, software, tools, and frameworks in all technology areas related to connected vehicles in the context of networking, service management, Artificial intelligence, and cloud systems. Papers describing original novel work and advanced prototypes, systems, and tools are encouraged.
Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to:
- Management and Artificial Intelligence for Autonomous Vehicles
- 5G/6G technology for Autonomous Vehicles
- Vehicular cloud management
- SDN Autonomous Vehicles and Automated Driving
- Intelligent Infrastructure and Guidance Systems
- Cooperative Driving for Autonomous Vehicles
- Security and privacy for Autonomous Vehicles
- Next Generation Traffic Management Systems
- Connected Services and Mobility management
- Services Virtual Networking for Autonomous Vehicles
- Big Data Analytics for Intelligent Transportation
- Autonomous and Connected Aerial Networks
- Blockchain Systems for Autonomous Vehicles
- Communications and networking for Automated and semi-automated vehicles
- Cyber threat-free driving environment
- Congestion and awareness control in Autonomous Vehicles
- Advanced driver assistance systems
- In-Vehicle Networks and Communications
- Networking with Other Road Users
- Green Vehicular Communication and Services