The development of methods for detection and assessment of safety critical events in car driving
(2012)- Abstract
- Improving our knowledge of drivers’ behaviour, especially in hazardous situations is
a key to understanding why accidents occur and how to improve safety on our roads.
Crash surrogate measures have proven to be very useful in traffic safety analysis. As a
valid crash surrogate measure shares the same logical chain of events as actual crashes,
studying those events increases the opportunities to analyze external circumstances as
well as events and driver behaviour preceding the crash.
A new definition of crash surrogate measures is proposed, i.e. safety critical braking
events: Situations (including crashes) that require a sudden, evasive manoeuvre to avoid
a crash or... (More) - Improving our knowledge of drivers’ behaviour, especially in hazardous situations is
a key to understanding why accidents occur and how to improve safety on our roads.
Crash surrogate measures have proven to be very useful in traffic safety analysis. As a
valid crash surrogate measure shares the same logical chain of events as actual crashes,
studying those events increases the opportunities to analyze external circumstances as
well as events and driver behaviour preceding the crash.
A new definition of crash surrogate measures is proposed, i.e. safety critical braking
events: Situations (including crashes) that require a sudden, evasive manoeuvre to avoid
a crash or to correct for unsafe acts performed by the driver himself/herself or by other
road users.
This thesis develops a method for detecting Safety CRItical Braking Events, SCRIBE,
and evaluates against other methods mostly used in large naturalistic driving studies.
The evaluation shows promising results in the success rates of detecting safety critical
events. Further, a Method for estimating the SEverity of safety Critical events, M-SEC,
involving more than one road user, is developed and evaluated. The method combines
a measure of closeness-to-collision, or safety margins, with a measure of possible consequences
based on the speed and mass of the involved road users. Besides, a comparison
is made with the Traffic Conflict Technique. Evaluation of the method shows that the
estimated severity using M-SEC enables comparison of safety critical events involving
different types of road users and is not limited to comparisons between similar types of
events. In addition, the estimations when using M-SEC seem to reflect the seriousness
of the safety critical events. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3053200
- author
- Bagdadi, Omar LU
- supervisor
- opponent
-
- Saunier, Nicolas, Polytechnique Montréal, Department of Civil, Geological and Mining Engineering, Montréal, Canada.
- organization
- publishing date
- 2012
- type
- Thesis
- publication status
- published
- subject
- keywords
- Crash involvement, jerk, safety critical event
- pages
- 120 pages
- publisher
- Lund University Faculty of Engineering, Technology and Society, Traffic and Roads, Lund, Sweden
- defense location
- Room V:B, V-building, John Ericssons väg 1, Lund University Faculty of Engineering.
- defense date
- 2012-10-16 10:15:00
- external identifiers
-
- other:LUTVDG/(TVTT-1043)1-120/2012
- ISBN
- 978-91-7473-368-6
- language
- English
- LU publication?
- yes
- id
- 481f70b2-d4a9-4e7c-bb82-38a9248f9b2b (old id 3053200)
- date added to LUP
- 2016-04-01 14:26:24
- date last changed
- 2020-05-28 11:45:02
@phdthesis{481f70b2-d4a9-4e7c-bb82-38a9248f9b2b,
abstract = {{Improving our knowledge of drivers’ behaviour, especially in hazardous situations is<br/><br>
a key to understanding why accidents occur and how to improve safety on our roads.<br/><br>
Crash surrogate measures have proven to be very useful in traffic safety analysis. As a<br/><br>
valid crash surrogate measure shares the same logical chain of events as actual crashes,<br/><br>
studying those events increases the opportunities to analyze external circumstances as<br/><br>
well as events and driver behaviour preceding the crash.<br/><br>
A new definition of crash surrogate measures is proposed, i.e. safety critical braking<br/><br>
events: Situations (including crashes) that require a sudden, evasive manoeuvre to avoid<br/><br>
a crash or to correct for unsafe acts performed by the driver himself/herself or by other<br/><br>
road users.<br/><br>
This thesis develops a method for detecting Safety CRItical Braking Events, SCRIBE,<br/><br>
and evaluates against other methods mostly used in large naturalistic driving studies.<br/><br>
The evaluation shows promising results in the success rates of detecting safety critical<br/><br>
events. Further, a Method for estimating the SEverity of safety Critical events, M-SEC,<br/><br>
involving more than one road user, is developed and evaluated. The method combines<br/><br>
a measure of closeness-to-collision, or safety margins, with a measure of possible consequences<br/><br>
based on the speed and mass of the involved road users. Besides, a comparison<br/><br>
is made with the Traffic Conflict Technique. Evaluation of the method shows that the<br/><br>
estimated severity using M-SEC enables comparison of safety critical events involving<br/><br>
different types of road users and is not limited to comparisons between similar types of<br/><br>
events. In addition, the estimations when using M-SEC seem to reflect the seriousness<br/><br>
of the safety critical events.}},
author = {{Bagdadi, Omar}},
isbn = {{978-91-7473-368-6}},
keywords = {{Crash involvement; jerk; safety critical event}},
language = {{eng}},
publisher = {{Lund University Faculty of Engineering, Technology and Society, Traffic and Roads, Lund, Sweden}},
school = {{Lund University}},
title = {{The development of methods for detection and assessment of safety critical events in car driving}},
year = {{2012}},
}