Effects of major-road vehicle speed and driver age and gender on left-turn gap acceptance

Authors

    Authors

    X. D. Yan; E. Radwan;D. H. Guo

    Comments

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    Abbreviated Journal Title

    Accid. Anal. Prev.

    Keywords

    driving simulator; gap acceptance; driving behavior; stop-controlled; intersection; driver age difference; driver gender difference; STOP-CONTROLLED INTERSECTIONS; DRIVING EXPERIENCE; SELF-ASSESSMENTS; OLDER DRIVERS; VALIDATION; SIMULATOR; PROBABILITY; CRASHES; DESIGN; MOTOR; Ergonomics; Public, Environmental & Occupational Health; Social; Sciences, Interdisciplinary; Transportation

    Abstract

    Because the driver's gap-acceptance maneuver is a complex and risky driving behavior, it is a highly concerned topic for traffic safety and operation. Previous studies have mainly focused on the driver's gap acceptance decision itself but did not pay attention to the maneuver process and driving behaviors. Using a driving simulator experiment for left-turn gap acceptance at a stop-controlled intersection, this study evaluated the effects of major traffic speed and driver age and gender on gap acceptance behaviors. The experiment results illustrate relationships among drivers' left-turn gap decision, driver's acceleration rate, steering action, and the influence of the gap-acceptance maneuver on the vehicles in the major traffic stream. The experiment results identified an association between high crash risk and high traffic speed at stop-controlled intersections. The older drivers, especially older female drivers, displayed a conservative driving attitude as a compensation for reduced driving ability, but also showed to be the most vulnerable group for the relatively complex driving maneuvers. (c) 2007 Elsevier Ltd. All tights reserved.

    Journal Title

    Accident Analysis and Prevention

    Volume

    39

    Issue/Number

    4

    Publication Date

    1-1-2007

    Document Type

    Article

    Language

    English

    First Page

    843

    Last Page

    852

    WOS Identifier

    WOS:000247775800022

    ISSN

    0001-4575

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