| Issue |
ITM Web Conf.
Volume 69, 2024
International Conference on Mobility, Artificial Intelligence and Health (MAIH2024)
|
|
|---|---|---|
| Article Number | 03008 | |
| Number of page(s) | 7 | |
| Section | Mobility | |
| DOI | https://doi.org/10.1051/itmconf/20246903008 | |
| Published online | 13 December 2024 | |
Multi-model based behaviour analysis for inclusive mobility
1 UPHF, LAMIH UMR CNRS 8201, Le Mont Houy 59313 Valenciennes Cedex 9, France
2 INSA Hauts-de-France, Le Mont Houy, 59313 Valenciennes Cedex 9, France
3 IRT Railenium, 180 rue Louis-Joseph Lagrange, Famars, France
* Corresponding author: frederic.vanderhaegen@uphf.fr
The paper proposes an original approach based on holistic and specific models of human or technical behaviors. Holistic models concern generic behaviors that can be achieved by different human or technical decision-makers and specific models represent individual behaviors of a given human or technical decision-maker. They are modelled with Petri nets and Faults trees. The analysis of combinations between these models generates scenarios that can affect inclusive mobility in terms of human health, system safety or fluidity of mobility. These scenarios are represented with cause trees and simulated with the MissRail® platform to validate their feasibility. They involve behaviors of road users like pedestrians, car or train drivers and of Artificial Intelligence based systems like an Adaptive Cruise Control or a Lane-Keeping Assist.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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