When Autonomous Vehicles Meet Accidents: A DT-Enabled Post-Accident Maintenance Scheme
Author:
Affiliation:
1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China
2. School of Cyber Engineering, Xidian University, Xi’an, China
3. School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China
Funder
National Key Research and Development Program of China
China Postdoctoral Science Foundation
Guangzhou Science and Technology Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10353047/10214129.pdf?arnumber=10214129
Reference47 articles.
1. Vehicular Communication Networks in the Automated Driving Era
2. Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles With Joint Radar-Data Communications
3. Distributed Task Allocation to Enable Collaborative Autonomous Driving With Network Softwarization
4. Safe and Energy-Saving Vehicle-Following Driving Decision-Making Framework of Autonomous Vehicles
5. Performance Analysis of IEEE 802.11p DCF for Multiplatooning Communications With Autonomous Vehicles
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1. Digital twin intelligent transportation system (DT‐ITS)—A systematic review;IET Intelligent Transport Systems;2024-08-04
2. Multi-Agent Best Routing in High Mobility Digital-Twin-Driven Internet of Vehicles (IoVs);IEEE Internet of Things Journal;2023
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