ITM Web Conf.
Volume 30, 201929th International Crimean Conference “Microwave & Telecommunication Technology” (CriMiCo’2019)
|Number of page(s)||6|
|Section||Information Technology in Telecommunications (3a)|
|Published online||27 November 2019|
The use of random process models and machine learning to analyze the operation of a taxi order service
1 Ulyanovsk State Technical University, 432027 Severny Venets 32, Ulyanovsk, Russia
2 Ulyanovsk Civil Aviation Institute, 432071 Mozhaiskogo 8/8, Ulyanovsk, Russia
3 Gett Taxi, 432002 Narimanova 1, Ulyanovsk, Russia
* Corresponding author: firstname.lastname@example.org
The possibilities of constructing an effective forecast of the number of taxi service orders based on mathematical models are considered. A comparative analysis of the variances of forecasting errors for various stochastic models and models based on fuzzy logic is carried out. It is shown that the best estimates are provided by the doubly stochastic model, as well as by the fuzzy Sugeno model.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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