Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems

Author:

Wang Fei-Yue1ORCID,Lin Yilun2ORCID,Ioannou Petros A.3ORCID,Vlacic Ljubo4ORCID,Liu Xiaoming5,Eskandarian Azim6,Lv Yisheng7ORCID,Na Xiaoxiang8ORCID,Cebon David8ORCID,Ma Jiaqi9ORCID,Li Lingxi10ORCID,Olaverri-Monreal Cristina11ORCID

Affiliation:

1. State Key Laboratory for Management and Control of Complex Systems, Chinese Academy of Sciences, Beijing, China

2. Urban Computing Laboratory and the Shanghai Artificial Intelligence Laboratory, Shanghai, China

3. Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, CA, USA

4. Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment, Griffith University, Nathan, QLD, Australia

5. College of Metropolitan Transportation, Beijing University of Technology, Beijing, China

6. Department of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA

7. Institute of Automation, Chinese Academy of Sciences, Beijing, China

8. Department of Engineering, University of Cambridge, Cambridge, U.K

9. Samueli School of Engineering, University of California, Los Angeles, CA, USA

10. Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University–Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA

11. Department of Intelligent Transportation Systems, Johannes Kepler Universität, Linz, Austria

Funder

Project “A Unified Approach for Transport Automation and Vehicle Intelligence: Parallel Driving,”

Intel Collaborative Research Institute for Intelligent and Automated Connected Vehicles

Science and Technology Development Fund, Macau, SAR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Reference134 articles.

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