Towards artificial intelligence based rail driving assistance tool - Université Polytechnique des Hauts-de-France
Communication Dans Un Congrès Année : 2024

Towards artificial intelligence based rail driving assistance tool

Résumé

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 (DcD) which aims to bring the driver back in the train driving activity with the new GoA defined before, taking into account his involvement and driving skills. This framework will be 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 his situation awareness, the Digital Teacher Module improves his driving skills and knowledge of the system, and finally the Safety Manager ensures the system’s compatibility with safety standards.
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Dates et versions

hal-04726618 , version 1 (15-10-2024)

Identifiants

  • HAL Id : hal-04726618 , version 1

Citer

Jean-Valentin Merlevede, Simon Enjalbert, Frédéric Vanderhaegen, Francesco Flammini. Towards artificial intelligence based rail driving assistance tool. International Conference on Mobility, Artificial Intelligence and Health (MAIH2024), Cadi Ayyad University, FSTG & FSSM, Morocco, Nov 2024, Marrakesh, Morocco. ⟨hal-04726618⟩
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