Motor vehicle speed is a risk factor contributing to many road accidents which result in significant social and economic costs. Although a review of previous research shows that the literature is extensive on the impact of speed on traffic safety, the majority of previous researches mainly focused on rural roads while rarely on urban roads. It is crucial that the relationship between speed and road collisions should be investigated in urban areas because of the fact that a high ratio of collisions is occurred on urban roads. The objective of this study is to examine the influence of motor vehicle speed on road collisions on urban road sections. This objective is achieved by developing collision prediction models which quantitatively correlate collision frequency to speed characteristics. It is found that both mean speed and speed standard deviation are positively related to collision frequency. Both of them are risk factors in traffic safety.


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    Titel :

    Investigating Impact of Speed on Traffic Safety using Collision Prediction Model


    Beteiligte:

    Erschienen in:

    Advanced Materials Research ; 779-780 ; 482-485


    Erscheinungsdatum :

    2013-09-04


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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