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Models and methods for collision analysis: A comparison study based on the Uber collision with a pedestrian

Journal

SAFETY SCIENCE
Volume 120, Issue -, Pages 117-128

Publisher

ELSEVIER
DOI: 10.1016/j.ssci.2019.06.008

Keywords

Models; Methods; Road safety; Road traffic; Collision

Funding

  1. RAC Foundation for the Road Collision Investigation Project (Department for Transport in the UK)
  2. National Institute for Health Research
  3. Engineering and Physical Sciences Research Council as part of the TASCC programme: Human Interaction: Designing Autonomy in Vehicles (HI:DAVe) [EP/N011899/1]
  4. EPSRC [EP/N011899/1] Funding Source: UKRI

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Unlike aviation, maritime and rail, road traffic collision investigation currently does not have a national investigatory body in the UK. Yet the numbers of people killed and seriously injured on the roads is far in excess of those other domains. The research presented in this paper is part of a larger project investigating the development of a road collision investigation branch in the UK. An important part of the process involves identifying a suitable accident analysis method to support investigations with the development of suitable interventions. This paper describes a study that was undertaken to identify a systemic method for investigating road collisions. Eight potential methods were identified and compared using a common incident, that of the recent Uber collision with a pedestrian. The methods were analysed against four sets of criteria: systemic, theoretical, methodological and practical. The AcciMap method, together with the accompanying Actor Map, was recommended as an appropriate approach to support road traffic collision investigations.

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