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
Accepted Special Sessions
- Computational Intelligence Methodologies for Environmental Sustainability and Sustainable Development: Theory and Applications
- Organizers:
Tatiana Tambouratzis, University of Piraeus, Greece
Christos Douligeris, University of Piraeus, Greece
Mikko Kolehmainen, University of Eastern Finland, Finland
Stefanos Kollias, National Technical University of Athens, Greece
Andreas Stafylopatis, National Technical University of Athens, Greece - More Information
- Computational Intelligence in Intelligent Transport Systems
- Organizers:
Enrique Dominguez, University of Malaga, Spain
Lipika Deka, De Montfort University, UK - More Information
- Data representation for learning vehicle intelligence
- Organizers:
Xian Wei, Shanghai Jiao Tong University, China
Yuanxiang Li, Shanghai Jiao Tong University, China
Lin Yang, Shanghai Jiao Tong University, China
Mingwu Ren, Nanjing University of Science and Technology, China
Hao Shen Technical university of Munich, Germany
Qi Wu, Shanghai Jiaotong University, China - More Information
- Electric vehicle wired/wireless charging and management
- Organizers:
Xi Zhang, Shanghai Jiao Tong University, China
Yafei Wang, Shanghai Jiao Tong University, China - More Information
- Advances in Intelligent Systems and Algorithms for Autonomous Driving and its Applications
- Organizers:
Mahmoud Abou-Nasr, Ford Motor Company, USA
Justin Dauwels, Nanyang Technological University, Singapore
Jungme Park, Kettering University, USA
Weiwei Zhang, Shanghai University of Engineering Science, China - More Information
Symposium Chair
Yi Lu Murphey
University of Michigan-Dearborn, Dearborn, MI 48128, USA.
Email: yilu@umich.edu
Symposium Co-Chairs
Mahmoud Abou-Nasr
Ford Motor Company, USA.
Email: mabounas@ford.com
Justin Dauwels
Nanyang Technological University, Singapore.
Email: jdauwels@ntu.edu.sg
MJ Booysen
University of Stellenbosch, Stellenbosch, South Africa, 7602 South Africa.
Email: mjbooysen@sun.ac.za
Robert Karlsen
U.S. Army Tank Automotive Research, Development, and Engineering Center (TARDEC),
Detroit, MI 48397-5000, USA.
Email: robert.e.karlsen.civ@mail.mil
Dev Kochhar
Ford Motor Company
Email: dkochhar@ford.com
Yuanxiang Li
Shanghai Jiao Tong University, China.
Email: yuanxli@sjtu.edu.cn.
Xian Wei
Shanghai Jiao Tong University, China
Email: xianweich@hotmail.com
Program Committee
- Majid Ahmadi, Ph.D. Professor, Department of Electrical and Computer Engineering, University of Windsor, Windsor, Ontario, Canada. ahmadi@uwindsor.ca
- Hafiz Malik, Ph.D. Associate Professor
- Yinghao Huang, Ph.D., Research Engineer, Verizon, NJ, USA
- Chaomin Luo, PhD, Associate Professor, Department of Electrical and Computer Engineering, University of Detroit Mercy, Michigan, USA. luoch@udmercy.edu
- Jungme Park, Ph.D. Assistant Professor, Kettering University, USA, jpark@kettering.edu
- Ishwar K Sethi, Ph.D. Professor, School of Engineering and Computer Science, Oakland University, Rochester, MI 48098, USA. isethi@oakland.edu
- Tatiana Tambouratzis, Ph.D., Associate Professor, University of Piraeus, Greece, tatianatambouratzis@gmail.com
- Alper Kursat Uysal, Ph.D. Assistant Professor, Computer Engineering Department, Anadolu University, akuysal@anadolu.edu.tr
- Paul Watta, Ph.D., Associate Professor, Department of Electrical and Computer Engineering, the University of Michigan-Dearborn, Dearborn, MI 48128, USA. watta@umich.edu
- Weiwei Zhang, Ph.D, Lecturer, Shanghai University of Engineering Science, weiweiz@sues.edu.cn