| 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
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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, https://doi.org/10.1088/1742-6596/2131/4/042007, 2021. - 2021 - в издания, индексирани в Scopus или Web of Science
2. Gabriel Immanuel, Andri Irfan Rifai, Joewono Prasetijo, “The Road Performances Analysis in Jalan Laksamana Bintan, Batam-Indonesia”, Indonesian Journal of Multidisciplinary Science, Special Issue, Vol. 1 No. 1, Online ISSN 2808-6724, Print ISSN 2808-5957, 2022, https://ijoms.internationaljournallabs.com/index.php/ijoms/article/view/319/577 - 2022 - в издания, индексирани в Scopus или Web of Science
Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus
