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Exploratory Analysis of Driver and Vehicle Factors Associated with Traffic Accidents in Morocco

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Intelligent Systems and Pattern Recognition (ISPR 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1589))

Abstract

In Morocco, road safety corresponds to a major public health and personal protection issue. According to statistics from the Ministry of Equipment, Transport, Logistics, and Water (METLW), the number of personal injuries reached 89,375 with an average of 10 deaths and 361 injured per day in 2017. This study tends to analyze Moroccan road traffic accidents and reveal the most influencing driver and vehicle factors on them. We implement a statistical analysis based on descriptive and exploratory analysis on the Moroccan accident database between 2013 and 2017. The database is provided by METLW and includes information about the driver and motor vehicle characteristics. Drivers between the ages of 18 and 53 are the most vulnerable to road accidents, accounting for 76% of all drivers. Male drivers represent a high percentage, around 95.2%. Most of the victims drivers were uninjured or slightly injured, which means that accidents are more likely to occur at intersections. Vehicle type and usage do not have a significant effect on Moroccan accident casualties and fatalities.

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Notes

  1. 1.

    http://www.equipement.gov.ma/Transport-routier/Securite-routiere/Pages/Strategie-Nationale-de-la-securite-routiere-2017-20261009-7462.aspx.

  2. 2.

    https://www.statisticssolutions.com/dissertation-resources/missing-values-in-data/.

  3. 3.

    https://www.kaggle.com/rtatman/data-cleaning-challenge-handling-missing-values.

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Acknowledgement

This work is part of the project “SafeRoad Meta-platform Road Safety (MSR)” which is supported by the METLW and the National Center of the Scientific and Technical Research (CNRST) under contract No: 24/2017.

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Authors and Affiliations

  1. Ibn Tofail University, B.P 242, Kenitra, Morocco

    Hamza Khyara, Aouatif Amine & Bouchra Nassih

Authors
  1. Hamza Khyara
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  2. Aouatif Amine
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  3. Bouchra Nassih
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Corresponding author

Correspondence to Hamza Khyara .

Editor information

Editors and Affiliations

  1. Larbi Tebessi University, Tebessa, Algeria

    Akram Bennour

  2. Arkansas Tech University, Russellville, AR, USA

    Tolga Ensari

  3. Digital Research Centre of Sfax, Sakiet Ezzit, Tunisia

    Yousri Kessentini

  4. Southeast Missouri State University, Cape Girardeau, MO, USA

    Sean Eom

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Khyara, H., Amine, A., Nassih, B. (2022). Exploratory Analysis of Driver and Vehicle Factors Associated with Traffic Accidents in Morocco. In: Bennour, A., Ensari, T., Kessentini, Y., Eom, S. (eds) Intelligent Systems and Pattern Recognition. ISPR 2022. Communications in Computer and Information Science, vol 1589. Springer, Cham. https://doi.org/10.1007/978-3-031-08277-1_10

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  • DOI: https://doi.org/10.1007/978-3-031-08277-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08276-4

  • Online ISBN: 978-3-031-08277-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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