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International Journal of Modern Education and Computer Science (IJMECS)

ISSN: 2075-0161 (Print), ISSN: 2075-017X (Online)

Published By: MECS Press

IJMECS Vol.10, No.10, Oct. 2018

Selecting Qualitative Features of Driver Behavior via Pareto Analysis

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Author(s)

Kawtar Zinebi, Nissrine Souissi, Kawtar Tikito

Index Terms

Driver behavior features;behavioral questionnaires;Pareto & ABC analysis; DBQ;DAX;MDSI;DSQ;DBI

Abstract

Driver behavior is the main cause of road crashes; it is the key element that insures a better understanding and improves predictions of car accidents. The main goal of our study is to determine the set of driver behavior features that are the most encountered in literature; we were based on behavioral questionnaires as a source for these features. We selected the questionnaires that are most cited in literature and therefore proved their efficiency through many studies they were employed in. Then we extracted the features considered in their items and classified them by rate of appearance according to the Pareto & ABC principle. In the second part of our study we collaborated with the National Committee for Circulation Accident Prevention (CNPAC) of the Ministry of Transportation of Morocco in order to compare the findings we gathered from literature with the researches they administer. We prepared a questionnaire that contains the final set of features and we transmitted it to experts working in the road safety field to rate it according to their knowledge and experience. Data analysis showed significant differences in some features, which demonstrates the gap between theoretical results and field research.

Cite This Paper

Kawtar Zinebi, Nissrine Souissi, Kawtar Tikito, " Selecting Qualitative Features of Driver Behavior via Pareto Analysis", International Journal of Modern Education and Computer Science(IJMECS), Vol.10, No.10, pp. 1-10, 2018.DOI: 10.5815/ijmecs.2018.10.01

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