The use of random process models and machine learning to analyze the operation of a taxi order service

The use of random process models and machine learning to analyze the operation of a taxi order service

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 b...

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Bibliographic Details
Main Authors: Andriyanov Nikita, Sonin Vladislav
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:ITM Web of Conferences
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_04014.pdf
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spelling doaj-4c36eacabc8f4ad197d87674d819b2582021-04-02T15:04:05ZengEDP SciencesITM Web of Conferences2271-20972019-01-01300401410.1051/itmconf/20193004014itmconf_crimico2019_04014The use of random process models and machine learning to analyze the operation of a taxi order serviceAndriyanov NikitaSonin Vladislav0Gett TaxiThe 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.https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_04014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Andriyanov Nikita
Sonin Vladislav
spellingShingle Andriyanov Nikita
Sonin Vladislav
The use of random process models and machine learning to analyze the operation of a taxi order service
ITM Web of Conferences
author_facet Andriyanov Nikita
Sonin Vladislav
author_sort Andriyanov Nikita
title The use of random process models and machine learning to analyze the operation of a taxi order service
title_short The use of random process models and machine learning to analyze the operation of a taxi order service
title_full The use of random process models and machine learning to analyze the operation of a taxi order service
title_fullStr The use of random process models and machine learning to analyze the operation of a taxi order service
title_full_unstemmed The use of random process models and machine learning to analyze the operation of a taxi order service
title_sort use of random process models and machine learning to analyze the operation of a taxi order service
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2019-01-01
description 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.
url https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_04014.pdf
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AT soninvladislav theuseofrandomprocessmodelsandmachinelearningtoanalyzetheoperationofataxiorderservice
AT andriyanovnikita useofrandomprocessmodelsandmachinelearningtoanalyzetheoperationofataxiorderservice
AT soninvladislav useofrandomprocessmodelsandmachinelearningtoanalyzetheoperationofataxiorderservice
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