Chinese Journal on Internet of Things ›› 2023, Vol. 7 ›› Issue (1): 37-48.doi: 10.11959/j.issn.2096-3750.2023.00320

• Theory and Technology • Previous Articles     Next Articles

Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect

Kai JIANG1, Yue CAO1,2, Huan ZHOU3, Xuefeng REN2, Yongdong ZHU4, Hai LIN1   

  1. 1 Wuhan University, Wuhan 430072, China
    2 Huali SmartWays Technology Co., Ltd., Wuhan 430056, China
    3 China Three Gorges University, Yichang 443002, China
    4 Zhejiang Lab, Zhejiang 310100, China
  • Revised:2022-12-30 Online:2023-03-30 Published:2023-03-01
  • Supported by:
    Hubei Province International Science and Technology Collaboration Program(2022EHB002);Ministry of Education China University Industry-University-Research Innovation Program(2021LDA07005);Hubei Province Major Consultancy Program(2022KT03-2)


As an emerging inter discipline field, edge intelligence pushes AI to the side close to the traffic data source.Edge intelligence makes use of the computing power, storage resources, and perception ability of edge to provide a more intelligent and efficient resource allocation and processing mechanism while providing a real-time response, intelligent decision-making and network autonomy, realizing the critical leap for internet of vehicles from access “pipelining” to the intelligent enabling platform of information.However, the successful implementation of edge intelligence in internet of vehicles is still in its infancy, and there exists a demand for a comprehensive survey in this young field from a broader perspective.Based on this context of internet of vehicles, the background, concepts and key technologies of edge intelligence were introduced.Then, a holistic overview of service types based on internet of vehicles was taken, and the entire processes of model training and inference in edge intelligence were elaborated.Finally, to promote the potential research directions, the key open challenges of edge intelligence in the internet of vehicles were analyzed, and the coping strategies were discussed.

Key words: artificial intelligence, internet of vehicles, edge intelligence

CLC Number: 

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