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Towards an Understanding of Road Crashes: Taxonomy and Analysis

EasyChair Preprint no. 7601

10 pagesDate: March 23, 2022


Every year, around 1.3 million people are deprived of their lives because of the road accidents. Human component grant in the manifestation of 95% of all accidents that are happend in the world. For at least forty years, road accidents in developing countries such as countries of Western Europe and North America are increasing at an alarming rate and have recognized the fact that road accidents are the number one cause of death and injury. This article aims to expose the causes and consequences of road accidents that have emitted different countries around the world and also to see the techniques that have been proposed and applied to reduce the severity of this disaster. This study also fixed a taxonomy on the topic of road crash analyses in multiple areas which presents the factors responsible for accidents and the resulting consequences as well as a table summarizing the articles read where the factors are presented as well as the techniques used.The interest of this article is to identify the factors of road accidents and consequences of these catastrophic crashes.

Keyphrases: Crash analysis., Crash factors., Machine Learning., road safety, Taxonomie.

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Soukaina El Ferouali and Zouhair Elamrani Abou Elassad and Abdelmounaim Abdali},
  title = {Towards an Understanding of Road Crashes: Taxonomy and Analysis},
  howpublished = {EasyChair Preprint no. 7601},

  year = {EasyChair, 2022}}
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