Cooperative adaptive cruise control is recognised as an effective means to reduce the rear‐end collision caused by the delayed reaction and improper driving behaviours of manually driven vehicles. However, vehicle‐to‐vehicle communication, as the key to collect information for the cooperative adaptive cruise control system, is likely to be interrupted by malicious attacks and equipment failures. When communication interruption occurs, sensors of the adaptive cruise control system will replace vehicle‐to‐vehicle communication for information collection, that is, cooperative adaptive cruise control vehicles degrade to adaptive cruise control vehicles automatically, causing an increased rear‐end collision risk. This study aims to investigate the safety impact of cooperative adaptive cruise control vehicles’ degradation under spatial continuous communication interruption. A mixed platoon, consisting of cooperative adaptive cruise control vehicles, adaptive cruise control vehicles, manually driven vehicles, and improved manually driven vehicles with information‐sending devices, is simulated with the realistic cooperative adaptive cruise control and adaptive cruise control model, and the intelligent driver model. Different platoon forms are discussed by adjusting the quantity and position of manually driven vehicles in the mixed platoon. The results show that manually driven vehicles can effectively block the backward extension of speed fluctuation and reduce the rear‐end collision risk under the spatial continuous communication interruption. Nevertheless, equipping manually driven vehicles with information‐sending devices weakens the ability to defend against communication interruption.


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    Title :

    Safety impact of cooperative adaptive cruise control vehicles’ degradation under spatial continuous communication interruption


    Contributors:
    Yu, Weijie (author) / Hua, Xuedong (author) / Zhao, De (author) / Wang, Wei (author) / Xiang, Yun (author)

    Published in:

    Publication date :

    2022-03-01


    Size :

    23 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






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