Generating relevant scenarios for intelligent transportation service

Abstract : This paper addresses risk assessment issues while conceiving complex systems. Indeed, project stakeholders have to share the same problems understanding allowing to undertake rational and optimal decisions. We propose an approach based on Natural Language Processing (NLP) techniques to improve systems quality requirements such as consistency and completeness. We assess the relevancy of our approaches through experimentations and highlighted feedbacks from project stakeholders and players.
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https://hal.archives-ouvertes.fr/hal-02351552
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Submitted on : Wednesday, November 6, 2019 - 2:32:34 PM
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Ismet Addoui, Tarek Chouaki, Ambrogio Delli Colli. Generating relevant scenarios for intelligent transportation service. MATEC Web of Conferences, EDP sciences, In press. ⟨hal-02351552⟩

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