In connection with a variety of road conditions and traffic characteristics in each particular locality, a more general approach to evaluation of influence of external factors on road safety is required. Therefore, development of a mathematical model based on a time series of road traffic accidents is of great importance for determining the influencing factors. Using the example of the road traffic in Yakutsk, mathematical modeling of the time series of road crashes was performed using a technique of sequential application of cosinor analysis. Their rhythmic structure has been revealed and the factors influencing the road safety have been identified.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Application of Cosinor Analysis for Modeling Time Series of Traffic Accidents


    Weitere Titelangaben:

    Advs in Intelligent Syst., Computing


    Beteiligte:
    Popovic, Zdenka (Herausgeber:in) / Manakov, Aleksey (Herausgeber:in) / Breskich, Vera (Herausgeber:in) / Buslaeva, Irina (Autor:in)

    Kongress:

    International Scientific Siberian Transport Forum ; 2019 ; Novosibirsk, Russia May 22, 2019 - May 27, 2019



    Erscheinungsdatum :

    31.01.2020


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







    Traffic accidents modeling and analysis using temporal reasoning

    Chisalita, I. / Shahmehri, N. / Lambrix, P. | IEEE | 2004


    Biological Rhythms Modelisation of Vigilance and Sleep in Microgravity State with COSINOR and Volterra's Kernels Methods

    de Gerlicz, C.G. / Golding, J.G. / Bobola, P. et al. | British Library Conference Proceedings | 2008