Advertisement

Application of Cosinor Analysis for Modeling Time Series of Traffic Accidents

  • Irina BuslaevaEmail author
Conference paper
  • 44 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1116)

Abstract

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.

Keywords

Road traffic accident Road safety Cosinor analysis Mathematical modeling 

References

  1. 1.
    Buslaeva, I.I.: Analysis of road traffic accidents in Yakutsk. In: Proceedings of International Conference on Transport and Transport-technological Systems, Tyumen, pp. 62–66 (2017)Google Scholar
  2. 2.
    Buslaeva, I.I.: Influence of meteorological factor changes on amount of road traffic accidents in Yakutsk. In: Proceedings of International Conference on Transport and Transport-Technological Systems, Tyumen, pp. 42–45 (2019)Google Scholar
  3. 3.
    Buslaeva, I.I., Yakovleva, S.P.: Development of a technique for the revelation of hidden periodicities in failure time series for predicting the operability of technical objects. In: AIP Conference Proceedings, vol. 2053, pp. 040014-1–040014-4. AIP Publishing (2018)Google Scholar
  4. 4.
    Emelianov, I.P.: Structure of Human Biological Rhythms in Process of Adaptation. Statistical Analysis and Modeling. Nauka, Novosibirsk (1986)Google Scholar
  5. 5.
    Jellinek, H.H.G.: Liquid-like (transition) layer on ice. J. Colloid Interface Sci. 25(2), 192–205 (1967)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Yakut Scientific CenterSiberian Branch of the Russian Academy of SciencesYakutskRussia

Personalised recommendations