A review of 6G autonomous intelligent transportation systems: Mechanisms, applications and challenges

被引:52
作者
Deng, Xiaoheng [1 ,2 ]
Wang, Leilei [1 ]
Gui, Jinsong [1 ]
Jiang, Ping [1 ]
Chen, Xuechen [1 ]
Zeng, Feng [1 ]
Wan, Shaohua [3 ]
机构
[1] Cent South Univ, Sch Comp Sci & Engn, Changsha 410075, Peoples R China
[2] Cent South Univ, Shenzhen Res Inst, Shenzhen, Peoples R China
[3] Univ Elect Sci & Technol China, Shenzhen Inst Adv Study, Shenzhen, Peoples R China
基金
中国国家自然科学基金;
关键词
Intelligent transportation systems; 6G; Human-centric; VEHICLE SYSTEM; TERRESTRIAL NETWORKS; FUEL; ALLOCATION; BLOCKCHAIN; SCHEME; TRUST;
D O I
10.1016/j.sysarc.2023.102929
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Thanks to the explosive evolution of 6G, Artificial intelligence, Blockchain, Cloud computing, Data, and Edge computing (6G+ABCDE), it is possible to make Intelligent Transportation Systems (ITS) more autonomous, intelligent, and efficient. Conventional ITS technologies have been applied and deployed worldwide, and autonomous vehicles have also made a qualitative leap. The revolution of ITS magnitude is on the horizon, and the singularity may happen in the 6G Autonomous Intelligent Transportation Systems (6G-AITS). We indicate that the human-centric transportation system will still be the key to 6G-AITS. The 6G-AITS is a threedimensional intelligent system, which is driven by data and intelligence, and characterized by sharing and collaboration, thereby achieving the service-oriented demand response. To support this vision, we explore the 6G-AITS changes in terms of system architecture, communication, and resource allocation, as well as its key features. We elaborate on the mechanism and three applications of 6G-AITS. Furthermore, we explore the challenges of 6G-AITS and consider some issues that go beyond technologies that could affect the development of 6G-AITS. Key objective of this work is to provide an exploration of the imperative requirements to develop 6G-AITS and guidance for the research and development of 6G-AITS.
引用
收藏
页数:26
相关论文
共 158 条
[71]   The Roadmap to 6G: AI Empowered Wireless Networks [J].
Letaief, Khaled B. ;
Chen, Wei ;
Shi, Yuanming ;
Zhang, Jun ;
Zhang, Ying-Jun Angela .
IEEE COMMUNICATIONS MAGAZINE, 2019, 57 (08) :84-90
[72]   MEC-Based Dynamic Controller Placement in SD-IoV: A Deep Reinforcement Learning Approach [J].
Li, Bo ;
Deng, Xiaoheng ;
Chen, Xuechen ;
Deng, Yiqin ;
Yin, Jian .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (09) :10044-10058
[73]   Spatio-Temporal Vessel Trajectory Clustering Based on Data Mapping and Density [J].
Li, Huanhuan ;
Liu, Jingxian ;
Wu, Kefeng ;
Yang, Zaili ;
Liu, Ryan Wen ;
Xiong, Naixue .
IEEE ACCESS, 2018, 6 :58939-58954
[74]   An ICN/SDN-Based Network Architecture and Efficient Content Retrieval for Future Satellite-Terrestrial Integrated Networks [J].
Li, Jian ;
Xue, Kaiping ;
Liu, Jianqing ;
Zhang, Yongdong ;
Fang, Yuguang .
IEEE NETWORK, 2020, 34 (01) :188-195
[75]  
Li R., 2021, J. Tsinghua Univ., V03, P1
[76]   Intercarrier Interference Immune Single Carrier OFDM via Magnitude-Keyed Modulation for High Speed Aerial Vehicle Communication [J].
Li, Xue ;
Hong, Steven ;
Chakravarthy, Vasu D. ;
Temple, Michael ;
Wu, Zhiqiang .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2013, 61 (02) :658-668
[77]  
Lin X., 2022, Comput. Animat. Virtual Worlds, V3, P33
[78]   DRL-ER: An Intelligent Energy-Aware Routing Protocol With Guaranteed Delay Bounds in Satellite Mega-Constellations [J].
Liu, Jiahao ;
Zhao, Baokang ;
Xin, Qin ;
Su, Jinshu ;
Ou, Wei .
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2021, 8 (04) :2872-2884
[79]   Space-Air-Ground Integrated Network: A Survey [J].
Liu, Jiajia ;
Shi, Yongpeng ;
Fadlullah, Zubair Md. ;
Kato, Nei .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2018, 20 (04) :2714-2741
[80]   An UAV-Enabled Intelligent Connected Transportation System With 6G Communications for Internet of Vehicles [J].
Liu, Run ;
Liu, Anfeng ;
Qu, Zhenzhe ;
Xiong, Neal N. .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (02) :2045-2059