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- W4285473617 abstract "The problem of developing a typical scenario for predicting traffic on the streets of a megalopolis using the Loginom low-code platform, including the stage of data preparation, is considered. As a result of comparison according to the main applied criteria, the ARIMA model turned out to be the best for a typical time profile of traffic flow for weekdays on one of the streets of St. Petersburg. Comparative characteristics of the models and the results of cross-validation are presented in the text of the article." @default.
- W4285473617 created "2022-07-15" @default.
- W4285473617 creator A5004775316 @default.
- W4285473617 date "2021-04-14" @default.
- W4285473617 modified "2023-09-27" @default.
- W4285473617 title "COMPARISON OF THE QUALITY OF REGRESSION MODELS FOR SHORT-TERM FORECASTS OF TRAFFIC FLOW SPEED IN THE LOGINOM ANALYTICAL LOW-CODE PLATFORM" @default.
- W4285473617 doi "https://doi.org/10.31799/978-5-8088-1554-4-2021-2-66-75" @default.
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