Assessment of Transportation System Resilience
A transportation system like tramway or train is a system in which the functions of the human and the machine are interrelated and necessary for the operation of the whole system according to Human–Machine System (HMS) definition. Both human and machines are sources of system reliability and causes of accident occurrences. Considering the human behaviour contribution to HMS resilience, resilience can only be diagnosed if the human actions improve the system performances and help to recover from instability. Therefore, system resilience is the ability for a HMS to ensure performances and system stability whatever the context, i.e. after the occurrence of regular, unexpected or unprecedented disturbances. The COR&GEST platform is a railway simulation platform developed in the LAMIH in Valenciennes which involves a miniature railway structure. In order to study the human behaviour during the train driving activities with or without any technical failure occurrences, an experimental protocol was built with several inexperienced human operators. In railway transportation systems, traffic safety is the main performance criterion to take into account. Based on this criterion, authors propose to evaluate an instantaneous resilience indicator in order to assess the “local resilience” of HMS. As others performance criteria must be aggregated to reflect the whole studied HMS performance, the “global resilience” of HMS will be defined.
KeywordsHuman Machine Systems Resilience assessment Transportation system
The research leading to these results has received funding from the European Commission Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 218496 Project ITERATE.
The present research work has also been supported by:
• CISIT (International Campus on Safety and Intermodality in Transportation),
• The Nord-Pas-de-Calais Region,
• The European Community,
• The Regional Delegation for Research and Technology,
• The Ministry of Higher Education and Research,
• And the National Center for Scientific Research.
The authors gratefully acknowledge the support of these institutions.
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