2015 IEEE 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.
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
Proposals for special session and tutorials are encouraged. Please send your proposal to one of the symposium co-chairs by May 14th, 2015.
Yi Lu Murphey|
University of Michigan-Dearborn, USA.
Federal do Rio Grande do Sul, Brazil.
Nanyang Technological University, Singapore.
U.S. Army Tank Automotive Research, Development and Engineering Center (TARDEC), USA.
National University of Singapore, Singapore.
- Yao Ge, Ford Motor Company, USA
- Thomas Montgomery, Ford Motor Company, USA
- Chang Liu, General Motors, USA
- Sethi Ishwa, Oakland University, USA
- Yuqin Song, TianJin University of Technology, China
- Paul Watta, University of Michigan-Dearborn, USA
- Xiaolin Song, HuNan University, China
- Dev Kochhar, Ford Motor Company, USA
- Abul Masrur, US Army TACOM, USA
- Majid Ahmadi, University of Windsor, Canada
- Ryan Mcgee, Ford Motor Company - Shanghai, China
- Dariusz Mikulski, Ground Vehicle Robotics/TARDEC, USA
- Jorge Aching, UFRGS, Brazil
- Ana Alves, University of Coimbra, Portugal
- Francisco Pereira, Massachusetts Institute of Technology, USA
- Rosaldo Rossetti, University of Porto, Portugal