Digital Twins-Based Automated Pilot for Energy-Efficiency Assessment of Intelligent Transportation Infrastructure

Author:

Tu Zhen1ORCID,Qiao Liang2ORCID,Nowak Robert3ORCID,Lv Haibin4ORCID,Lv Zhihan5ORCID

Affiliation:

1. Qingdao Vocational and Technical College of Hotel Management, Qingdao, China

2. College of Computer Science & Technology, Qingdao University, Qingdao, China

3. Division of Artificial Intelligence, Institute of Computer Science, Warsaw University of Technology, Warsaw, Poland

4. North China Sea Offshore Engineering Survey Institute, Ministry of Natural Resources North Sea Bureau, Qingdao, China

5. Department of Game Design, Faculty of Arts, Uppsala University, Uppsala, Sweden

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

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1. Toward Transportation Digital Twin Systems for Traffic Safety and Mobility: A Review;IEEE Internet of Things Journal;2024-07-15

2. Digital Twin-Enabled Internet of Vehicles Applications;Electronics;2024-03-28

3. Digital Twin Enabled Task Offloading for IoVs: A Learning-Based Approach;IEEE Transactions on Network Science and Engineering;2024-01

4. Utilizing recurrent neural networks in sustainable urban transport and logistics;SCI J MARIT UNIV SZC;2024

5. Digital Twin in TIM;Digital Twin Technologies in Transportation Infrastructure Management;2023-12-06

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