Autors: Popov, S. A., Shterev, V. A., Baeva, S. K., Andriukaitis, D., Hinov, N. L.
Title: Error estimation of vehicle traffic intensity prediction in an urban environment
Keywords: Forecast, Vehicle traffic intensity, Statistical and stochastic methods

Abstract: In this article is proposed a method for forecasting vehicle traffic intensity in urban conditions and provides an estimate of the forecasting error. For input data in this study are used: the number of vehicles that have passed through a location of the road, based on data collected by observations; meteorological conditions; the day of the week; the season. For this purpose, database processing methods, statistical and stochastic methods are used.



    47th International Conference Applications of Mathematics in Engineering and Economics (AMEE 2020), vol. 2333, pp. 090021-1-090021-11, 2021, Bulgaria, AIP Conference Proceedings,

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    Цитирания (Citation/s):
    1. E. V. Pechatnova and V. N. Kuznetsov, "Mathematical modeling of traffic volume in the suburban area based on the time series decomposition", Journal of Physics: Conference Series 2131 042007, Volume 2131, pp.1-6, Mathematical modeling in the socio-economic and informational, Intelligent Information Technology and Mathematical Modeling 2021 (IITMM 2021), IOP Publishing Ltd,, 2021. - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus