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.

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3