CIVTS 2017 - 2017 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (IEEE CIVTS' 17)

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), vehicle-to-infrastructure (V2I) connectivity, and automated driving (AV). In addition 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, communication and management systems
Air, road, and rail traffic management
Automated driving and driverless car
Cloud computing and big data in transportation and vehicle systems
Collision detection and avoidance
Connected vehicles of the future
Driver assistance and automation systems
Driver state detection and monitoring
Learning and adaptive Control
Multimodal intelligent transport systems and services
Object recognitions such as pedestrian detection, traffic sign detection and recognition
Personalized driver and traveler support systems
Pervasive and ubiquitous computing in logistics
Route guidance systems
Simulation and forecasting models
Spatio-temporal traffic pattern recognition
Trip modeling and driver speed prediction
Vehicle communications and connectivity
Vehicle fault diagnostics and health monitoring
Vehicle energy management and optimization in hybrid vehicles