Models and Methods for Collision Analysis: A Comparison Study Based on the Uber Collision with a Pedestrian

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 analyzed 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.

• Record URL:
  • https://doi.org/10.1016/j.ssci.2019.06.008
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0925753519303704
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09257535
• Supplemental Notes:
  • © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Stanton, Neville A
  • Salmon, Paul M
  • Walker, Guy H
  • Stanton, Maggie
• Publication Date: 2019-12

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 117-128
• Serial:
  • Safety Science
  • Volume: 120
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0925-7535
  • Serial URL: http://www.sciencedirect.com/science/journal/09257535

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Crash analysis; Crash causes; Pedestrian vehicle interface
• Identifier Terms: Uber
• Geographic Terms: United Kingdom
• Subject Areas: Highways; Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01711650
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 22 2019 7:58AM