Adapting LESCOT Data-Analysis Tools to PATH Data Format: A First Step for Further Collaboration
MATHERN ; MILLE ; BELLET ; SHLADOVER ; NOWAKOWSKI
Type de document
RAPPORT DE RECHERCHE
Langue
anglais
Auteur
MATHERN ; MILLE ; BELLET ; SHLADOVER ; NOWAKOWSKI
Résumé / Abstract
The Explo'RA Doc grant from French Région Rhône-Alpes made possible for Benoît Mathern, doctoral student at IFSTTAR to stay 4 months at PATH for embodying the collaboration between PATH and the LESCOT laboratory of IFSTTAR. The goal of this collaboration was to see how LESCOT tools and methodologies could be used on PATH data sets. We show how we adapted those tools to support the data format used at PATH. Then we'll present a first proof of concept of the possible analysis, on the example of the PATH CACC experimental data., RAPPORT DE CONTRAT
Editeur
Ifsttar, University of California
