CIVTS 2016 - 2016 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems

The research and development of intelligent vehicles and transportation systems are rapidly growing worldwide. Intelligent transportation systems are making transformative changes in all aspects of surface transportation based on vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connectivity. With the decreasing sensor costs and computer chips, and increasing computing power and data storage capacity, it has become practical to build a host of intelligent devices in cars that can be used in airbag control, unwelcome intrusion detection, collision warning and avoidance, power management and navigation, driver alertness monitoring etc. Computational intelligence plays a vital role in building all types and levels of intelligence in vehicle and transportation systems.
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 vehicle and transportation systems.
Topics
Specific topics for the symposium include, but are not limited to:
Advanced transportation information and communication systems
Cloud computing and big data in transportation and vehicle systems
Multimodal intelligent transport systems and services
Personalized driver and traveler support systems
Pervasive and ubiquitous computing in logistics
Simulation and forecasting models
Spatio-temporal traffic pattern recognition
Connected vehicles of the future.
Air, Road, and Rail Traffic Management
Advanced Transportation Management
Collision detection and avoidance
vehicle communications and connectivity
Driver state detection and monitoring
Driver assistance and automation systems
Vehicle fault diagnostics and health monitoring
Automated driving and driverless car
Learning and adaptive Control
Object recognitions such as pedestrian detection, traffic sign detection and recognition
Route guidance systems
Trip modeling and driver speed prediction
Vehicle energy management and optimization in hybrid vehicles
Special Sessions
Proposals for special session and tutorials are encouraged. Please send your proposal to one of the organisers by April 18th, 2016.
Organiser
Dipti Srinivasan
National University of Singapore, Singapore.
Email:dipti-AT-nus.edu.sg