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Exploration of a method to validate surrogate safety measures with a focus on vulnerable road users

Laureshyn, Aliaksei LU orcid ; Johnsson, Carl LU ; Madsen, Tanja ; Varhelyi, Andras LU ; de Goede, Maartje ; Svensson, Åse LU ; Saunier, Nicolas and van Haperen, Wouter (2017) the Road Safety & Simulation International Conference, 17-19 October 2017, The Hague, NL
Abstract
Abstract
Background. Traditional crash-based analysis of road safety at individual sites has its shortcomings due to low numbers and the random nature
of crashes at individual sites and the related statistical issues, as well as the under-reporting of crashes and lack of information on contributing
factors and the process preceding crashes. To get around the problem, road safety analysis based on surrogate measures of safety, i.e. not based
on crashes, can be used. However, the question whether surrogate measures are valid indicators for safety remains unanswered and only a few
attempts have actually been made to carry out proper large-scale validation studies.
Aim. This work presents a methodological approach for a... (More)
Abstract
Background. Traditional crash-based analysis of road safety at individual sites has its shortcomings due to low numbers and the random nature
of crashes at individual sites and the related statistical issues, as well as the under-reporting of crashes and lack of information on contributing
factors and the process preceding crashes. To get around the problem, road safety analysis based on surrogate measures of safety, i.e. not based
on crashes, can be used. However, the question whether surrogate measures are valid indicators for safety remains unanswered and only a few
attempts have actually been made to carry out proper large-scale validation studies.
Aim. This work presents a methodological approach for a large-scale validation study of surrogate safety indicators focusing on vulnerable
road users. With only one site analyzed so far, it presents the exploration of the data and of the performance of the technical tools used in the
study.
Method. Video-filming and consequent video analysis are used to measure the surrogate safety indicators. In the first step, the video is
“condensed” using a watchdog software RUBA that selects situations with an encounter of a cyclist or pedestrian and a motor vehicle. At a
later stage, the trajectories of the individual road users are produced using a semi-automated tool T-Analyst and several surrogate safety
indicators are tested to set a severity score for an encounter. The performance of the surrogate indicators will be compared to the expected
number of accidents at each site and availability of the data for developing a safety performance function (SPF) that is country-, manoeuvreand
type of VRU-specific are explored.
Results & Conclusion. From methodological perspective, limited accident data available seriously complicates building a reliable SPF
(“ground truth”) against which the surrogate safety measures could be validated; some other, “indirect” methods of validation might be
required. We present also the performance of the software tools and applicability of the various surrogate safety indicators that were tested. (Less)
Abstract (Swedish)
Background. Traditional crash-based analysis of road safety at individual sites has its shortcomings due to low numbers and the random nature of crashes at individual sites and the related statistical issues, as well as the under-reporting of crashes and lack of information on contributing factors and the process preceding crashes. To get around the problem, road safety analysis based on surrogate measures of safety, i.e. not based on crashes, can be used. However, the question whether surrogate measures are valid indicators for safety remains unanswered and only a few attempts have actually been made to carry out proper large-scale validation studies.
Aim. This work presents a methodological approach for a large-scale validation... (More)
Background. Traditional crash-based analysis of road safety at individual sites has its shortcomings due to low numbers and the random nature of crashes at individual sites and the related statistical issues, as well as the under-reporting of crashes and lack of information on contributing factors and the process preceding crashes. To get around the problem, road safety analysis based on surrogate measures of safety, i.e. not based on crashes, can be used. However, the question whether surrogate measures are valid indicators for safety remains unanswered and only a few attempts have actually been made to carry out proper large-scale validation studies.
Aim. This work presents a methodological approach for a large-scale validation study of surrogate safety indicators focusing on vulnerable road users. With only one site analyzed so far, it presents the exploration of the data and of the performance of the technical tools used in the study.
Method. Video-filming and consequent video analysis are used to measure the surrogate safety indicators. In the first step, the video is “condensed” using a watchdog software RUBA that selects situations with an encounter of a cyclist or pedestrian and a motor vehicle. At a later stage, the trajectories of the individual road users are produced using a semi-automated tool T-Analyst and several surrogate safety indicators are tested to set a severity score for an encounter. The performance of the surrogate indicators will be compared to the expected number of accidents at each site and availability of the data for developing a safety performance function (SPF) that is country-, manoeuvre- and type of VRU-specific are explored.
Results & Conclusion. From methodological perspective, limited accident data available seriously complicates building a reliable SPF (“ground truth”) against which the surrogate safety measures could be validated; some other, “indirect” methods of validation might be required. We present also the performance of the software tools and applicability of the various surrogate safety indicators that were tested. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; and
organization
alternative title
Undersökning av en metod för att validera säkerhetsåtgärder för säkerhetsåtgärder med fokus på oskyddade trafikanter
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
keywords
Road safety, Surrogate safety measures, Validation, Vulnerable road users, Validation, Vulnerable Road Users, Road Safety, Surrogate safety measures
host publication
Proceedings of the Road Safety & Simulation International Conference, 17-19 October 2017
article number
43
pages
11 pages
conference name
the Road Safety & Simulation International Conference, 17-19 October 2017, The Hague, NL
conference location
Hague, Netherlands
conference dates
2017-10-17 - 2017-10-19
language
English
LU publication?
yes
id
04f53a04-0058-4810-9404-a2f294d3e579
date added to LUP
2018-03-09 14:50:12
date last changed
2020-06-27 02:25:13
@inproceedings{04f53a04-0058-4810-9404-a2f294d3e579,
  abstract     = {{Abstract<br>
Background. Traditional crash-based analysis of road safety at individual sites has its shortcomings due to low numbers and the random nature<br>
of crashes at individual sites and the related statistical issues, as well as the under-reporting of crashes and lack of information on contributing<br>
factors and the process preceding crashes. To get around the problem, road safety analysis based on surrogate measures of safety, i.e. not based<br>
on crashes, can be used. However, the question whether surrogate measures are valid indicators for safety remains unanswered and only a few<br>
attempts have actually been made to carry out proper large-scale validation studies.<br>
Aim. This work presents a methodological approach for a large-scale validation study of surrogate safety indicators focusing on vulnerable<br>
road users. With only one site analyzed so far, it presents the exploration of the data and of the performance of the technical tools used in the<br>
study.<br>
Method. Video-filming and consequent video analysis are used to measure the surrogate safety indicators. In the first step, the video is<br>
“condensed” using a watchdog software RUBA that selects situations with an encounter of a cyclist or pedestrian and a motor vehicle. At a<br>
later stage, the trajectories of the individual road users are produced using a semi-automated tool T-Analyst and several surrogate safety<br>
indicators are tested to set a severity score for an encounter. The performance of the surrogate indicators will be compared to the expected<br>
number of accidents at each site and availability of the data for developing a safety performance function (SPF) that is country-, manoeuvreand<br>
type of VRU-specific are explored.<br>
Results &amp; Conclusion. From methodological perspective, limited accident data available seriously complicates building a reliable SPF<br>
(“ground truth”) against which the surrogate safety measures could be validated; some other, “indirect” methods of validation might be<br>
required. We present also the performance of the software tools and applicability of the various surrogate safety indicators that were tested.}},
  author       = {{Laureshyn, Aliaksei and Johnsson, Carl and Madsen, Tanja and Varhelyi, Andras and de Goede, Maartje and Svensson, Åse and Saunier, Nicolas and van Haperen, Wouter}},
  booktitle    = {{Proceedings of the Road Safety & Simulation International Conference, 17-19 October 2017}},
  keywords     = {{Road safety; Surrogate safety measures; Validation; Vulnerable road users; Validation; Vulnerable Road Users; Road Safety; Surrogate safety measures}},
  language     = {{eng}},
  month        = {{10}},
  title        = {{Exploration of a method to validate surrogate safety measures with a focus on vulnerable road users}},
  url          = {{https://lup.lub.lu.se/search/files/39663148/RSS2017_paper_43.pdf}},
  year         = {{2017}},
}