Cooperative connected autonomous vehicles (CAV): Research, applications and challenges

Jianhua He, Zuoyin Tang, Xiaoming Fu, Supeng Leng, Fan Wu, Kaisheng Huang, Jianye Huang, Jie Zhang, Yan Zhang, Andrew Radford, Laura Li, Zhiliang Xiong

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    Road accidents and traffic congestion are two critical problems for global transport systems. Connected vehicles (CV) and automated vehicles (AV) are among the most heavily researched and promising automotive technologies to reduce road accidents and improve road efficiency. However, both AV and CV technologies have inherent shortcomings, for example, line of sight sensing limitation of AV sensors and the dependency of high penetration rate for CVs. In this paper we present a cooperative connected intelligent vehicles (CAV) framework. It is motivated by the observation that vehicles are increasingly intelligent with various levels of autonomous functionalities. The vehicles intelligence is boosted by more sensing and computing resources. These sensor and computing resources of CAV vehicles and the transport infrastructure could be shared and exploited. With resource sharing and cooperation CAVs can have comprehensive perception of driving environments, and novel cooperative applications can be developed to improve road safety and efficiency (RSE). The key feature of the cooperative CAV system is the cooperation within and across the key players in the road transport systems and across system layers. For example, the various levels of cooperation include cooperative sensing, cooperative RSE applications and cooperation among the vehicles and among the vehicles and infrastructure. We will present the potentials that could be brought by cooperative CAV, the roadmap for research and development, the preliminary research results and open issues.

    Original languageEnglish
    Title of host publication27th IEEE International Conference on Network Protocols, ICNP 2019
    Place of PublicationNew York
    PublisherIEEE Computer Society
    Pages1-6
    Number of pages6
    ISBN (Electronic)9781728127002
    ISBN (Print)9781728127019
    DOIs
    Publication statusPublished - 31 Oct 2019
    Event27th IEEE International Conference on Network Protocols, ICNP 2019 - Chicago, United States
    Duration: 7 Oct 201910 Oct 2019

    Publication series

    Name
    ISSN (Print)1092-1648
    ISSN (Electronic)2643-3303

    Conference

    Conference27th IEEE International Conference on Network Protocols, ICNP 2019
    CountryUnited States
    CityChicago
    Period7/10/1910/10/19

    Keywords

    • Autonomous vehicles
    • CAV
    • Connected intelligent vehicles
    • Connected vehicles
    • Cooperative road safety

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