The objective of this symposium is to provide a forum for researchers and practitioners to present advanced research in computational intelligence with a focus on innovative applications to intelligent vehicle and transportation systems. This symposium seeks contribution on the latest developments and emerging research in all aspects of intelligent vehicles and transportation systems
The manuscripts should be submitted in PDF format. Click Here to know further guidelines for submission.
- Automated driving and driverless cars
- Big data learning algorithms from connected vehicle data: V2V, V2I, V2P and V2X communications
- Cloud computing and big data in transportation and vehicle systems
- Computational intelligence in advanced transportation information, communication and management systems
- Computational intelligence in air, road, and rail traffic management
- Computer vision and machine learning in collision detection and avoidance
- Deep learning algorithms and applications
- Driver assistance and automation systems
- Driver state detection and monitoring
- Multimodal intelligent transport systems and shared services
- Object recognitions such as pedestrian detection, traffic sign detection and recognition
- Machine learning algorithms for personalized driver and traveler support systems
- Simulation and forecasting models using computational intelligence
- Spatio-temporal traffic pattern recognition
- Trip modeling and driver speed prediction
- Vehicle fault diagnostics and health monitoring
- Vehicle energy management and optimization in hybrid vehicles
Yi Lu Murphey
University of Michigan-Dearborn, Dearborn, MI 48128, USA.
Ford Motor Company, USA.
Nanyang Technological University, Singapore.
University of Stellenbosch, Stellenbosch, South Africa, 7602 South Africa.
U.S. Army Tank Automotive Research, Development, and Engineering Center (TARDEC),
Detroit, MI 48397-5000, USA.
Ford Motor Company
Shanghai Jiao Tong University, China.
(To be announced)