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.
Topics
Specific topics for the symposium include, but are not limited to:
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
Symposium Chair
Symposium Co-Chairs

Mahmoud Abou-Nasr
Ford Motor Company, USA.
Email: [email protected]

Justin Dauwels
Nanyang Technological University, Singapore.
Email: [email protected]

MJ Booysen
University of Stellenbosch, Stellenbosch, South Africa, 7602 South Africa.
Email: [email protected]

Robert Karlsen
U.S. Army Tank Automotive Research, Development, and Engineering Center (TARDEC),
Detroit, MI 48397-5000, USA.
Email: [email protected]

Dev Kochhar
Ford Motor Company
Email: [email protected]

Yuanxiang Li
Shanghai Jiao Tong University, China.
Email: [email protected].
Program Committee
(To be announced)
