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Worst Case Analysis : A Video Analysis Approach to Injury Potential in Traffic

Johnsson, Carl LU orcid and Laureshyn, Aliaksei LU orcid (2024) In Journal of Road Safety 35(4). p.10-18
Abstract

This paper presents a method for evaluating the potential for injury in any traffic scenario involving road user interactions based on trajectory data from a few hours of data of typical traffic conditions. The basic idea was to evaluate to what extent interactions at a location are limited in speed, direction, and whether the interactions happen at a safe speed. Specifically, the method works by applying an existing injury model to the highest observed values at a specific point in space. The injury model is used to estimate a worst-case scenario at that point in space. By generating a heat map, it is possible to analyse a location and evaluate the injury potential at a location. The method does not provide a complete safety analysis... (More)

This paper presents a method for evaluating the potential for injury in any traffic scenario involving road user interactions based on trajectory data from a few hours of data of typical traffic conditions. The basic idea was to evaluate to what extent interactions at a location are limited in speed, direction, and whether the interactions happen at a safe speed. Specifically, the method works by applying an existing injury model to the highest observed values at a specific point in space. The injury model is used to estimate a worst-case scenario at that point in space. By generating a heat map, it is possible to analyse a location and evaluate the injury potential at a location. The method does not provide a complete safety analysis with exposure or risk but instead focuses specifically on the potential consequences. The method is suitable for preliminary safety analyses that focus on determining areas of particular interest for further study.

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Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Safe System, traffic safety, video analysis
in
Journal of Road Safety
volume
35
issue
4
pages
9 pages
publisher
Australasian College of Road Safety
external identifiers
  • scopus:85211113696
ISSN
2652-4260
DOI
10.33492/JRS-D-24-4-2450246
language
English
LU publication?
yes
id
87899a10-2cd3-4700-91fd-98b9993ec2fd
date added to LUP
2025-01-27 14:47:18
date last changed
2025-01-27 14:47:27
@article{87899a10-2cd3-4700-91fd-98b9993ec2fd,
  abstract     = {{<p>This paper presents a method for evaluating the potential for injury in any traffic scenario involving road user interactions based on trajectory data from a few hours of data of typical traffic conditions. The basic idea was to evaluate to what extent interactions at a location are limited in speed, direction, and whether the interactions happen at a safe speed. Specifically, the method works by applying an existing injury model to the highest observed values at a specific point in space. The injury model is used to estimate a worst-case scenario at that point in space. By generating a heat map, it is possible to analyse a location and evaluate the injury potential at a location. The method does not provide a complete safety analysis with exposure or risk but instead focuses specifically on the potential consequences. The method is suitable for preliminary safety analyses that focus on determining areas of particular interest for further study.</p>}},
  author       = {{Johnsson, Carl and Laureshyn, Aliaksei}},
  issn         = {{2652-4260}},
  keywords     = {{Safe System; traffic safety; video analysis}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{10--18}},
  publisher    = {{Australasian College of Road Safety}},
  series       = {{Journal of Road Safety}},
  title        = {{Worst Case Analysis : A Video Analysis Approach to Injury Potential in Traffic}},
  url          = {{http://dx.doi.org/10.33492/JRS-D-24-4-2450246}},
  doi          = {{10.33492/JRS-D-24-4-2450246}},
  volume       = {{35}},
  year         = {{2024}},
}