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Data mining approach to model bus crash severity in Australia.

Seyed Alireza Samerei1, Kayvan Aghabayk1, Amin Mohammadi2

  • 1School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran.

Journal of Safety Research
|March 3, 2021
PubMed
Summary

Fatal bus crashes are often linked to non-motor vehicle collisions and weekend incidents. Key factors include elderly drivers, pedestrian interactions at intersections, and poor road conditions during darkness. Addressing these can prevent fatalities.

Keywords:
Association rule discoveryBus involved crashesClusteringCrash severityPublic transport

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Area of Science:

  • Road safety
  • Transportation engineering
  • Accident analysis

Background:

  • Bus travel is generally safe, but fatal bus crashes occur annually.
  • Limited research exists on factors contributing to fatal bus crashes.
  • Identifying these factors is crucial for reducing fatalities.

Purpose of the Study:

  • To identify factors contributing to fatalities in bus-involved crashes.
  • To analyze crash data from Victoria, Australia (2006-2019).
  • To extract contributing factors using clustering and association rule discovery.

Main Methods:

  • Clustering of bus-involved crash data into homogeneous categories.
  • Application of association rule discovery on crash clusters.
  • Analysis of crash data from Victoria, Australia, 2006-2019.

Main Results:

  • Bus crashes with non-motor vehicles and weekend crashes show higher fatality rates.
  • Factors increasing fatality risk include elderly drivers, pedestrian collisions at signals, and vulnerable road users.
  • Weekend crash fatalities are associated with dark, high-speed zones, pedestrian presence on highways, female drivers in car crashes, and multi-vehicle incidents.

Conclusions:

  • Specific factors and their sequential patterns (rules) leading to fatal bus crashes were identified.
  • Mitigating identified risk factors can prevent fatal bus crashes.
  • Recommendations include improving road conditions, driver behavior, and infrastructure.