Catégorisation des comportements de conduite en termes de consommation en carburant : une méthode de découverte de connaissances contextuelles à partir des traces d’interactions

Abstract : This thesis proposes an engineering method of contextual knowledge that allows identification and modelling of explanatory context of observed criteria. The context consists of located explanatory knowledge allowing valid representation of an object in the covered situation. This knowledge is generally elicited when observing the activity performance in which the object is involved. They are therefore difficult to describe in the beginning of activity analysis but are necessary for the definition, explanation and effective understanding of an activity according to an observed criterion characterizing this activity. This thesis proposes a progressive definition of adequate context to explain an observed criterion during activity observation. The research mobilizes interaction traces of the analysed activity, clarify context notion and uses data mining methods for classification or categorization of an observed criterion by distinguishing contextual parameters and no contextual parameters. The developed environment, based on interaction traces principles, allows to assist explanatory context discovery by interactive approach, using context analyst knowledge. We demonstrate that it’s possible to build a valid context, by discovering it and by formulating it in a generic form as proposed in literature. An application of the method was performed in driving situation to identify and model the explanatory context of fuel consumption. The method validation is performed by studying produced knowledge on fuel consumption, qualitatively by relying on existing domain knowledge and quantitatively by applying classification rules established trough data collected from driving activity. This illustration of driving activity analysis with the contextual knowledge discovery method to determine explanatory context of fuel consumption was conducted at Ifsttar on real data, collected during driving activity in natural driving situation. The led experiments show encouraging results and allows considering the integration of contextual knowledge discovery method in Ifsttar analyst practices
Document type :
Theses
Complete list of metadatas

Cited literature [101 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-01489950
Contributor : Abes Star <>
Submitted on : Tuesday, March 14, 2017 - 4:46:06 PM
Last modification on : Thursday, November 21, 2019 - 2:26:59 AM
Long-term archiving on : Thursday, June 15, 2017 - 3:12:22 PM

File

TH2017TRAOREASSITAN.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-01489950, version 1

Citation

Assitan Traoré. Catégorisation des comportements de conduite en termes de consommation en carburant : une méthode de découverte de connaissances contextuelles à partir des traces d’interactions. Modélisation et simulation. Université de Lyon, 2017. Français. ⟨NNT : 2017LYSE1012⟩. ⟨tel-01489950⟩

Share

Metrics

Record views

1504

Files downloads

811