TY  - JOUR
PY  - 2023//
TI  - A safety assurance methodology for autonomous trains
JO  - Transportation research procedia
A1  - Tonk, Abhimanyu
A1  - Chelouati, Mohammed
A1  - Boussif, Abderraouf
A1  - Beugin, Julie
A1  - Koursi, Miloudi El
SP  - 3016
EP  - 3023
VL  - 72
IS  - 
N2  - In this paper, we address the railway safety assurance issues, hampering the conventional railway safety approval process due to the intro duction of autonomy and AI technologies. Concretely, based on the system hierarchy and the railway safety lifecycle, we elaborate a methodology for the safety assurance of autonomous train and its operations. The proposed methodology consists of a set of safety processes and activities to be conducted, in parallel to the conventional ones, at three hierarchical system levels; namely: (i) the overall system level (i.e., train); (ii) the AI-based component level (i.e., perception and decision-making components); (iii) and the AI software level (i.e., inference and decision learned algorithm).<p />  <p>Language: en</p>
LA  - en
SN  - 2352-1465
UR  - http://dx.doi.org/10.1016/j.trpro.2023.11.849
ID  - ref1
ER  -