Rear-end collisions are very common, usually occurring when a lead vehicle brakes suddenly and a following driver responds too slowly. To reduce collision rates, collision avoidance systems (CASs) have been adopted. The CAS uses a series of algorithms to trigger an alert and/or brake control to help drivers avoid collisions. However, key variables have been considered fixed values in algorithms. Detecting vehicles’ deceleration might also take seconds, extending the judgement time of CASs. The study explored following drivers’ deceleration behavior patterns. A driving simulator experiment with forty-six participants was conducted in which a leading vehicle decelerated at different rates. Results showed that change of deceleration rate was a key variable representing drivers’ deceleration urgency, correlating with the leading vehicle’s deceleration rate. More than 90% of drivers reached a maximum change of deceleration rate within 0.5 s. The study supports using change of deceleration rate as an indicator in CAS.


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    Titel :

    Exploring Driver’s Deceleration Behavior in Car-Following: A Driving Simulator Study


    Beteiligte:
    Hang, Junyu (Autor:in) / Yan, Xuedong (Autor:in) / Duan, Ke (Autor:in) / Li, Xiaomeng (Autor:in) / Yang, Jingsi (Autor:in)

    Kongress:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Erschienen in:

    CICTP 2020 ; 3817-3829


    Erscheinungsdatum :

    2020-08-12




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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