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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2019/07/itmconf_crimico2019_04014.pdf |
| Summary: | 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. |
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| ISSN: | 2271-2097 |