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.

References

    Issue

    47th International Conference Applications of Mathematics in Engineering and Economics (AMEE 2020), vol. 2333, pp. 090021-1-090021-11, 2021, Bulgaria, AIP Conference Proceedings, https://doi.org/10.1063/5.0041877

    Copyright AIP Conference Proceedings

    Full text of the publication

    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, https://doi.org/10.1088/1742-6596/2131/4/042007, 2021. - 2021 - в издания, индексирани в Scopus или Web of Science

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