车联网边缘智能：概念、架构、问题、实施和展望

江恺; 曹越; 周欢; 任学锋; 朱永东; 林海

doi:10.11959/j.issn.2096-3750.2023.00320

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车联网边缘智能：概念、架构、问题、实施和展望

理论与技术 | 更新时间：2024-08-16

- 车联网边缘智能：概念、架构、问题、实施和展望
- Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect
- 物联网学报 2023年7卷第1期页码：37-48
- 作者机构：
  
  1. 武汉大学，湖北武汉 430072
  2. 华砺智行（武汉）科技有限公司，湖北武汉 430056
  3. 三峡大学，湖北宜昌 443002
  4. 之江实验室，杭州浙江 310100
- 作者简介：
  
  [ "江恺（1995- ），男，武汉大学博士生，主要研究方向为边缘智能、多智能体/深度强化学习、智能交通系统等" ]
  [ "曹越（1984- ），男，博士，武汉大学教授、博士生导师，主要研究方向为安全防护、网络计算、交通控制等" ]
  [ "周欢（1986- ），男，博士，三峡大学教授、博士生导师，主要研究方向为移动社交网络、移动数据卸载、车联网等" ]
  [ "任学锋（1979- ），男，华砺智行（武汉）科技有限公司副总裁、新技术研究院院长，主要研究方向为智能网联汽车、智慧交通等" ]
  [ "朱永东（1974- ），男，博士，之江实验室研究员，主要研究方向为未来网络与通信、物联网、车联网等" ]
  [ "林海（1976- ），男，博士，武汉大学副教授，主要研究方向为网络安全、物联网等" ]
- 基金信息：
  
  湖北省国际科技合作计划项目;Hubei Province International Science and Technology Collaboration Program(2022EHB002);教育部中国高校产学研创新基金支持项目;Ministry of Education China University Industry-University-Research Innovation Program(2021LDA07005);湖北省重大调研课题基金项目;Hubei Province Major Consultancy Program(2022KT03-2)
- DOI：10.11959/j.issn.2096-3750.2023.00320
  中图分类号： TP391
- 纸质出版日期：2023-03-30，
  
  网络出版日期：2023-03，
- 稿件说明：
移动端阅览
江恺, 曹越, 周欢, 等. 车联网边缘智能：概念、架构、问题、实施和展望[J]. 物联网学报, 2023,7(1):37-48.

KAI JIANG, YUE CAO, HUAN ZHOU, et al. Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect. [J]. Chinese journal on internet of things, 2023, 7(1): 37-48.
江恺, 曹越, 周欢, 等. 车联网边缘智能：概念、架构、问题、实施和展望[J]. 物联网学报, 2023,7(1):37-48. DOI： 10.11959/j.issn.2096-3750.2023.00320.

KAI JIANG, YUE CAO, HUAN ZHOU, et al. Edge intelligence empowered internet of vehicles: concept, framework, issues, implementation, and prospect. [J]. Chinese journal on internet of things, 2023, 7(1): 37-48. DOI： 10.11959/j.issn.2096-3750.2023.00320.

摘要

作为一项新兴交叉学科领域，边缘智能通过将人工智能推送至靠近交通数据源侧，并利用边缘算力、存储资源及感知能力，在提供实时响应、智能化决策、网络自治的同时，赋能更加智能、高效的资源调配与处理机制，从而实现车联网从接入“管道化”向信息“智能化”使能平台的跨越。然而，当前边缘智能于车联网领域的成功实施仍处于起步阶段，迫切需要以更为广阔的视角对这一新兴领域进行全面综述。为此，面向车联网应用场景，首先介绍边缘智能的背景、概念及关键技术；然后，对车联网应用场景中基于边缘智能的服务类型进行整体概述，同时详细阐述边缘智能模型的部署和实施过程；最后，分析边缘智能于车联网中的关键开放性挑战，并探讨应对策略，以推动其潜在研究方向。

Abstract

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.

关键词

人工智能车联网边缘智能

Keywords

artificial intelligenceinternet of vehiclesedge intelligence

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