Internet of Vehicles: From intelligent grid to autonomous cars and vehicular fogs

Author:

Lee Eun-Kyu12,Gerla Mario1,Pau Giovanni3,Lee Uichin4,Lim Jae-Han5

Affiliation:

1. University of California–Los Angeles, Los Angeles, CA, USA

2. Incheon National University, Incheon, Korea

3. LIP6, Universitè Pierre et Marie Curie (UPMC), Sorbonne Universites, Paris, France

4. Korea Advanced Institute of Science and Technology, Daejeon, Korea

5. Electronics and Telecommunications Research Institute, Daejeon, Korea Eun-Kyu Lee and Uichin Lee are principle corresponding authors

Abstract

Recent advances in communications, controls, and embedded systems have changed the perception of a car. A vehicle has been the extension of the man’s ambulatory system, docile to the driver’s commands. It is now a formidable sensor platform, absorbing information from the environment (and from other cars) and feeding it to drivers and infrastructure to assist in safe navigation, pollution control, and traffic management. The next step in this evolution is just around the corner: the Internet of Autonomous Vehicles. Pioneered by the Google car, the Internet of Vehicles will be a distributed transport fabric capable of making its own decisions about driving customers to their destinations. Like other important instantiations of the Internet of Things (e.g. the smart building), the Internet of Vehicles will have communications, storage, intelligence, and learning capabilities to anticipate the customers’ intentions. The concept that will help transition to the Internet of Vehicles is the vehicular fog, the equivalent of instantaneous Internet cloud for vehicles, providing all the services required by the autonomous vehicles. In this article, we discuss the evolution from intelligent vehicle grid to autonomous, Internet-connected vehicles, and vehicular fog.

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Cited by 115 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Leveraging big data analytics for intelligent transportation systems: optimize the internet of vehicles data structure and modeling;International Journal of Data Science and Analytics;2023-12-14

2. Edge computing for Vehicle to Everything: a short review;F1000Research;2023-11-10

3. Attak Detection in RSU-OBU Communication Using Deep Neural Network;2023 23rd International Conference on Control, Automation and Systems (ICCAS);2023-10-17

4. Incentivizing Private Data Sharing in Vehicular Networks: A Game-Theoretic Approach;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10

5. Edge Intelligence in Intelligent Transportation Systems: A Survey;IEEE Transactions on Intelligent Transportation Systems;2023-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3