Highlights A driving simulator experiment and a questionnaire survey are designed. Self-reported serious fatigue is related to worse driving performance. Temporal patterns of driving fatigue and performance follow quadratic forms. A recovery effect and a lagging effect are found in the temporal patterns. Policies to solve high work intensity during rush hours are suggested.

    Abstract This study uses a questionnaire survey and a driving simulator test to investigate the temporal patterns of variations in driving fatigue and driving performance in 50 male taxi drivers in Hong Kong. Each driver visited the laboratory three times: before, during, and after a working shift. The survey contained a demographic questionnaire and the Brief Fatigue Inventory. A following-braking simulator test session was conducted at two speeds (50 and 80 km/h) by each driver at each of his three visits, and the driver’s performance in brake reaction, lane control, speed control, and steering control were recorded. A random-effects modeling approach was incorporated to address the unobserved heterogeneity caused by the repeated measures. In the results, a recovery effect and a lagging effect were defined for the driving fatigue and performance measures because their temporal patterns were concavely quadratic and had a 1-hour delay compared to the temporal patterns of occupied taxi trips and taxi crash risk in Hong Kong. Demographic variables, such as net income and driver age, also had significant effects on the measured driving fatigue and performance. Policies regarding taxi management and operation based on the modeling results are proposed to alleviate the taxi safety situation in Hong Kong and worldwide.


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    Title :

    Temporal patterns of driving fatigue and driving performance among male taxi drivers in Hong Kong: A driving simulator approach


    Contributors:
    Meng, Fanyu (author) / Wong, S.C. (author) / Yan, Wei (author) / Li, Y.C. (author) / Yang, Linchuan (author)

    Published in:

    Publication date :

    2019-01-20


    Size :

    7 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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