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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
Contributor : Ismet Addoui <>
Submitted on : Wednesday, November 6, 2019 - 2:32:34 PM
Last modification on : Wednesday, January 15, 2020 - 1:18:11 AM
Long-term archiving on: : Saturday, February 8, 2020 - 3:53:27 AM

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  • HAL Id : hal-02351552, version 1
  • ARXIV : 1911.08276

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Ismet Addoui, Tarek Chouaki, Ambrogio Delli Colli. Generating relevant scenarios for intelligent transportation service. 2019 8th International Conference on Transportation and Traffic Engineering, ICTTE 2019, Dec 2019, Auckland, New Zealand. ⟨hal-02351552⟩

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