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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