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 the applications of transportation
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:
November 12, 2021: Workshop Submissions Due to Organizers
December 3, 2021: Notifications Sent to Authors
February 28 - March 1, 2022: AAAI-22 Workshop Program
Online Submission
https://easychair.org/my/conference?conf=aaai-2022-workshop
Journal Special Issues
Excellent papers will be invited to be extended for the following journals.
《交通运输工程学报（英文版）》(EI)
IEICE Transactions on Information and Systems (SCI/EI)
IEEE Access (SCI/EI)
IEEE Open Journal of Intelligent Transportation Systems (EI)
Journal of Global Information Management (SSCI)
Wireless Communications and Mobile Computing (SCI/EI)
Transportation Research Interdisciplinary Perspectives (Elsevier)(Scopus)
IETI Transactions on Intelligent Transportation Systems
More journals will be added in the following days.
Organizing Committee
Program Chairs
Wenzhong Guo (Fuzhou University, China)
Chin-Chen Chang (Feng Chia University, Taiwan)
Chi-Hua Chen (Fuzhou University, China)
Haishuai Wang (Fairfield University & Harvard University, USA)
Session Chairs
Feng-Jang Hwang (University of Technology Sydney, Australia)
Cheng Shi (Xi'an University of Technology, China)
Ching-Chun Chang (National Institute of Informatics, Tokyo, Japan)
Technical Program Committee Members
Kit Qichun Zhang (University of Bradford, United Kingdom)
Xiao-Guang Yue (European University Cyprus, Cyprus)
Chunjia Han (University of Greenwich, United Kingdom)
Doris Xin (Newcastle University, United Kingdom)
Ting Bi (Maynooth University, Ireland)
Xingsi Xue (Fujian University of Technology, China)
Fuquan Zhang (Minjiang University, China)
Hsu-Yang Kung (National Pingtung University of Science and Technology, Taiwan)
Chin-Ling Chen (Chaoyang University of Technology, Taiwan)
Hao-Chun Lu (Chang Gung University, Taiwan)
Yao-Huei Huang (Fu-Jen Catholic University, Taiwan)
Hao-Hsiang Ku (National Taiwan Ocean University, Taiwan)
Szu-Yin Lin (National Ilan University, Taiwan)
Yu-Chih Wei (National Taipei University of Technology, Taiwan)
Hsiao-Ting Tseng (National Central University, Taiwan)
Chia-Yu Lin (Yuan Ze University, Taiwan)
Lingjuan Lyu (Sony AI Inc., Japan)
Fangying Song (Fuzhou University, China)
Genggeng Liu (Fuzhou University, China)
Chan-Liang Chung (Fuzhou University, China)
Lianrong Pu (Fuzhou University, China)
Ling Wu (Fuzhou University, China)
Xiaoyan Li (Fuzhou University, China)
Chih-Min Yu (Yango University, China)
Lei Xiong (Guangzhou Academy of Fine Arts, China)
Hanxi Deng (Communication University of China, China)
Bo-Wei Zhu (Macau University of Science and Technology, Macau)
Contact
Prof. Chi-Hua Chen, Email: chihua0826@gmail.com