For heavy trucks, reasonable following distance is an important factor to ensure driving safety. The truck onboard monitoring system is to analyze the crash risk, provide real-time feedback to the driver and remind the drivers. The reliability theory has been used into a vehicle-dynamics-based truck safe following distance model. Two of the model parameters, the friction coefficient of pavement and response time of drivers, have been chosen as the random variables in the reliability method. Then, the first order and second moment (FORM) method has been used to calculate the real-time reliability and failure probability of truck following safety in an 80-second period of truck field test. Moreover, the simulation-based Monte Carlo method has been used to verify the accuracy of the FORM model, which led to a similar result. The results showed that the reliability-based method can give probabilistic analysis results, which has better applicability to the intelligent truck onboard monitoring system compared with traditional safe following distance models which have only two deterministic outcomes: safe or crash.


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    Title :

    Reliability-Based Assessment of the Truck Safe Following Distance Considering Multiple Influencing Factors


    Contributors:
    Dong, Bowen (author) / Du, Wenjun (author) / Chen, Feng (author) / Deng, Qi (author) / Pan, Xiaodong (author)

    Conference:

    17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China


    Published in:

    CICTP 2017 ; 4792-4799


    Publication date :

    2018-01-18




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English