MATEC Web Conf.
Volume 308, 20202019 8th International Conference on Transportation and Traffic Engineering (ICTTE 2019)
|Number of page(s)||5|
|Section||Intelligent Transportation and System Design|
|Published online||12 February 2020|
Generating relevant scenarios for intelligent transportation service
1 IRT SystemX, 8 Avenue de la Vauve, 91127 Palaiseau Cedex, France
2 Sorbonne University, 4 Place Jussieu 75005 Paris, France
3 Politecnico di torino, Corso Duca degli Abruzzi, 24 10129 Torino, Italy
a Corresponding author: email@example.com
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.
© The Authors, published by EDP Sciences, 2020
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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