Given the impact of traffic sign combinations (TSC) on the driver’s visual recognition, this paper analyzed the influence on the driver’s visual recognition process. It used the cognitive psychology theory to establish the information transmission model during the traffic sign combinations. It abstracted the information transmission model to construct the driver’s information processing model. Simultaneously, according to the analysis of the traffic sign combinations of the urban roads, this paper carried out the driver’s visual recognition simulation test when the traffic signs were combined, measured the reaction time of the driver’s visual recognition of multiple combinations of traffic signs, and analyzed the driver’s recognition time (DRT) range in the traffic sign combinations. It used correlation analysis, robust estimation, polynomial regression, and other methods to obtain a significant relationship between the driver’s recognition times in different traffic sign combinations (DTSC). Then it built polynomial regression analysis models, fitted the data, and visualized the fitting results. The results show that through the analysis of the experimental data, based on ensuring certain accuracy, the driver’s recognition time of the traffic sign combinations of the urban road increased appropriately. There is a significant relationship between different traffic sign combinations and the driver’s recognition time. As the number of traffic signs increases, the driver’s recognition time increases significantly. Besides, under certain conditions, gender, age, and the driving experience will impact the driver’s recognition time during the traffic sign combinations. The research results can provide the relevant theoretical basis for the setting of urban traffic signs, provide a powerful reference for the revision of various traffic sign setting standards and norms, and provide ideas for future research on the sign system.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    The Analysis of Driver’s Recognition Time of Different Traffic Sign Combinations on Urban Roads via Driving Simulation


    Beteiligte:
    Kun Liu (Autor:in) / Hongxing Deng (Autor:in)


    Erscheinungsdatum :

    2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Assessment of Driver's Mental Effort While Driving Roads of Different Complexity

    A. Ronen / T. Oron-Gilad / D. Shinar et al. | NTIS | 2002


    Traffic sign reflectivity detection method based on driver's visual recognition

    Chen, Jiayuan / Wu, Yiping / Rong, Jian et al. | SPIE | 2023


    Mixed Traffic Micro-Simulation of Urban Branch Roads

    Liu, B. / Lv, X. / Li, W. et al. | British Library Conference Proceedings | 2009


    Mixed Traffic Micro-Simulation of Urban Branch Roads

    Liu, B. / Lv, X. / Li, W. et al. | ASCE | 2009


    Sensor combinations for urban roads and expressways ( secure )

    Basten,M.J. / Hermans,F. / Conlong,R. et al. | Kraftfahrwesen | 1997