Towards artificial intelligence based rail driving assistance tool
This work proposes additional levels of progressive driver assistance expanding the traditional Grades Of Automation (GoA) in order to allow both higher level of automation and keeping the driver involved in driving task at the same time. The second contribution is the Digital Co-Driver which aims t...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_03005.pdf |
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| _version_ | 1841554724729389056 |
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| author | Merlevede Jean-Valentin Enjalbert Simon Vanderhaegen Frédéric Flammini Francesco |
| author_facet | Merlevede Jean-Valentin Enjalbert Simon Vanderhaegen Frédéric Flammini Francesco |
| author_sort | Merlevede Jean-Valentin |
| collection | DOAJ |
| description | This work proposes additional levels of progressive driver assistance expanding the traditional Grades Of Automation (GoA) in order to allow both higher level of automation and keeping the driver involved in driving task at the same time. The second contribution is the Digital Co-Driver which aims to bring the driver back in the train driving activity with the new GoA defined before, taking into account human involvement and driving skills. This framework is made up of several modules, each of which addresses a specific issue arising from the increased level of automation. The Driver State and Performance Monitoring Module monitors the driver’s involvement, situation awareness and performance. The Digital Adviser Module improves driver’s situational awareness, and the Digital Teacher Module improves his/her driving skills and knowledge of the system. Finally, the Safety Manager ensures the system’s compatibility with safety standards. |
| format | Article |
| id | doaj-art-ab3259f8bfd04facbe6d7fba42e4044e |
| institution | Kabale University |
| issn | 2271-2097 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj-art-ab3259f8bfd04facbe6d7fba42e4044e2025-01-08T10:58:54ZengEDP SciencesITM Web of Conferences2271-20972024-01-01690300510.1051/itmconf/20246903005itmconf_maih2024_03005Towards artificial intelligence based rail driving assistance toolMerlevede Jean-Valentin0Enjalbert Simon1Vanderhaegen Frédéric2Flammini Francesco3LAMIH, UMR 8201 - CNRSLAMIH, UMR 8201 - CNRSLAMIH, UMR 8201 - CNRSDalle Molle Institute for Artificial Intelligence, SUPSIThis work proposes additional levels of progressive driver assistance expanding the traditional Grades Of Automation (GoA) in order to allow both higher level of automation and keeping the driver involved in driving task at the same time. The second contribution is the Digital Co-Driver which aims to bring the driver back in the train driving activity with the new GoA defined before, taking into account human involvement and driving skills. This framework is made up of several modules, each of which addresses a specific issue arising from the increased level of automation. The Driver State and Performance Monitoring Module monitors the driver’s involvement, situation awareness and performance. The Digital Adviser Module improves driver’s situational awareness, and the Digital Teacher Module improves his/her driving skills and knowledge of the system. Finally, the Safety Manager ensures the system’s compatibility with safety standards.https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_03005.pdf |
| spellingShingle | Merlevede Jean-Valentin Enjalbert Simon Vanderhaegen Frédéric Flammini Francesco Towards artificial intelligence based rail driving assistance tool ITM Web of Conferences |
| title | Towards artificial intelligence based rail driving assistance tool |
| title_full | Towards artificial intelligence based rail driving assistance tool |
| title_fullStr | Towards artificial intelligence based rail driving assistance tool |
| title_full_unstemmed | Towards artificial intelligence based rail driving assistance tool |
| title_short | Towards artificial intelligence based rail driving assistance tool |
| title_sort | towards artificial intelligence based rail driving assistance tool |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2024/12/itmconf_maih2024_03005.pdf |
| work_keys_str_mv | AT merlevedejeanvalentin towardsartificialintelligencebasedraildrivingassistancetool AT enjalbertsimon towardsartificialintelligencebasedraildrivingassistancetool AT vanderhaegenfrederic towardsartificialintelligencebasedraildrivingassistancetool AT flamminifrancesco towardsartificialintelligencebasedraildrivingassistancetool |