AAAI_2022_Workshop: AAAI 2022 Workshop: AI for Transportation Vancouver, Canada, February 22-March 1, 2022 |
Conference website | https://rail.fzu.edu.cn/info/1014/1064.htm |
Submission link | https://easychair.org/conferences/?conf=aaai-2022-workshop |
AAAI 2022 Workshop: AI for Transportation
In conjunction with Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)
February 22 - March 1, 2022, Vancouver, BC, Canada
Scope
In recent years, machine learning techniques (e.g. support vector machine (SVM), decision tree, random forest, etc.) and deep learning techniques (e.g. convolutional neural network (CNN), recurrent neural network (RNN), long-short term memory (LSTM), etc.) have been popularly applied into image recognition and time-series inferences for intelligent transportation systems (ITS). For instance, advanced driver assistance systems and autonomous cars have been developed based on AI techniques to perform forward-collision warning, blind-spot monitoring, lane departure warning systems, traffic sign recognition, traffic safety, infrastructure management and congestion, and so on. Autonomous vehicles can share their detected information (e.g., traffic signs, collision events, etc.) with other vehicles via vehicular communication systems (e.g., dedicated short-range communication (DSRC), vehicular ad hoc networks (VANETs), long term evolution (LTE), and 5G/6G mobile networks) for cooperation. However, the performance and efficiency of these techniques are big challenges for performing real-time applications.
The aim of this workshop is to focus on both original research and review articles on various disciplines of ITS applications, including particularly AI techniques for ITS time-series data analyses, ITS spatio-temporal data analyses, advanced traffic management systems, advanced traveler information systems, commercial vehicle operation systems, advanced vehicle control and safety systems, advanced public transportation services, emergency management services, electronic payment services, advanced information management services, information management services, vulnerable individual protection services, etc.
Topics
- AI for ITS time-series and spatio-temporal data analyses
- AI for advanced traffic management and safety, traveler information, commercial vehicle operation, advanced vehicle control and safety, and advanced public transportation systems
- AI for emergency management, electronic payment, advanced information management, and vulnerable individual protection services
- AI for image recognition
- Applications and techniques in image recognition based on AI techniques for ITS
- Applications and techniques in autonomous cars and ships based on AI techniques
- AI for quality of service in VANET
- AI for infrastructure management and congestion
Important Dates
- Friday, November 12, 2021: Workshop Submissions Due to Organizers
- Monday, December 3, 2021: Notifications Sent to Authors
- February 28 - March 1, 2022: AAAI-22 Workshop Program
Organizing Committees
Program Chairs
- Prof. Wenzhong Guo (Fuzhou University, China)
- Prof. Chin-Chen Chang (Feng Chia University, Taiwan)
- Prof. Chi-Hua Chen (Fuzhou University, China)
- Prof. Haishuai Wang (Fairfield University & Harvard University, US)
Session Chairs
- Prof. Feng-Jang Hwang (University of Technology Sydney, Australia)
- Prof. Cheng Shi (Xi'an University of Technology, China)
- Dr. Ching-Chun Chang (National Institute of Informatics, Tokyo, Japan)
Contact
Prof. Chi-Hua Chen, Email: chihua0826@gmail.com