In order to study the impact of drivers' distance cognition difference on traffic safety in dynamic environment of daytime and night-time, a real road tests was carried out by asking 19 drivers randomly selected to percept the distances of obstacles with different distances and velocities on daytime and nighttime. The values of cognition are obtained by statistical methods. The distance cognition difference is predicted in a simulation using BP neural network and the variation laws and impact on traffic safety are analyzed. Results demonstrate that BP neural network model can efficiently simulate the cognition difference which augments with distance increasing. With the same distance, the absolute distance cognitive difference first increases and then reduces as the speed increases; while the relative distance cognition difference first increases and then decreases only when the distance is small; and it first decreases followed by an increase , and then decreases again in case of a medium and long-distance.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Regulation of Drivers' Distance Cognition Difference between Daytime and Night-Time


    Contributors:
    Liu Haoxue, (author) / Zhang Juan, (author) / Zhao Weihua, (author) / Yin Li, (author)


    Publication date :

    2010-11-01


    Size :

    198781 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Topological Psychology Based Spatial Distance Cognition of Drivers

    Zhao, Wei-hua / Chen, Hao / Yu, Qiang et al. | ASCE | 2012


    Distance cognition by taxi drivers and the general public

    Peruch, Patrick / Giraudo, Marie-Dominique / Garling, Tommy | Elsevier | 1989


    Giving drivers night vision

    Tema Archive | 1998