Approaches to Creating a Driver Decision Support System for Digital Analysis of Railway Infrastructure Based on Machine Learning and Machine Vision Algorithms
The paper considers the issues of creating a driver decision support system for digital analysis of the railway infrastructure based on machine learning and machine vision algorithms, which will take into account and analyse the given traffic schedule, infrastructure capabilities, dispatch centre te...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/83/e3sconf_hstd2023_05001.pdf |
| _version_ | 1797345529652314112 |
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| author | Domanov Kirill Istomin Stanislav Shatokhin Andrey |
| author_facet | Domanov Kirill Istomin Stanislav Shatokhin Andrey |
| author_sort | Domanov Kirill |
| collection | DOAJ |
| description | The paper considers the issues of creating a driver decision support system for digital analysis of the railway infrastructure based on machine learning and machine vision algorithms, which will take into account and analyse the given traffic schedule, infrastructure capabilities, dispatch centre teams, statuses of the nearest traffic participants for unmanned safe control of electric rolling stock. A detailed review of existing control systems in railway transport is made, which are based on technical vision. |
| first_indexed | 2024-03-08T11:18:57Z |
| format | Article |
| id | doaj.art-ff0106474bb845f2a844ae373bd5ca6e |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-08T11:18:57Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-ff0106474bb845f2a844ae373bd5ca6e2024-01-26T10:27:50ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014460500110.1051/e3sconf/202344605001e3sconf_hstd2023_05001Approaches to Creating a Driver Decision Support System for Digital Analysis of Railway Infrastructure Based on Machine Learning and Machine Vision AlgorithmsDomanov Kirill0Istomin Stanislav1Shatokhin Andrey2Omsk State Transport UniversityOmsk State Transport UniversityOmsk State Transport UniversityThe paper considers the issues of creating a driver decision support system for digital analysis of the railway infrastructure based on machine learning and machine vision algorithms, which will take into account and analyse the given traffic schedule, infrastructure capabilities, dispatch centre teams, statuses of the nearest traffic participants for unmanned safe control of electric rolling stock. A detailed review of existing control systems in railway transport is made, which are based on technical vision.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/83/e3sconf_hstd2023_05001.pdf |
| spellingShingle | Domanov Kirill Istomin Stanislav Shatokhin Andrey Approaches to Creating a Driver Decision Support System for Digital Analysis of Railway Infrastructure Based on Machine Learning and Machine Vision Algorithms E3S Web of Conferences |
| title | Approaches to Creating a Driver Decision Support System for Digital Analysis of Railway Infrastructure Based on Machine Learning and Machine Vision Algorithms |
| title_full | Approaches to Creating a Driver Decision Support System for Digital Analysis of Railway Infrastructure Based on Machine Learning and Machine Vision Algorithms |
| title_fullStr | Approaches to Creating a Driver Decision Support System for Digital Analysis of Railway Infrastructure Based on Machine Learning and Machine Vision Algorithms |
| title_full_unstemmed | Approaches to Creating a Driver Decision Support System for Digital Analysis of Railway Infrastructure Based on Machine Learning and Machine Vision Algorithms |
| title_short | Approaches to Creating a Driver Decision Support System for Digital Analysis of Railway Infrastructure Based on Machine Learning and Machine Vision Algorithms |
| title_sort | approaches to creating a driver decision support system for digital analysis of railway infrastructure based on machine learning and machine vision algorithms |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/83/e3sconf_hstd2023_05001.pdf |
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