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The development of methods for detection and assessment of safety critical events in car driving

Bagdadi, Omar LU (2012) In Bulletin 277.
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:
author
supervisor
opponent
  • Saunier, Nicolas, Polytechnique Montréal, Department of Civil, Geological and Mining Engineering, Montréal, Canada.
publishing date
type
Thesis
publication status
published
subject
keywords
Crash involvement, jerk, safety critical event
in
Bulletin
volume
277
pages
120 pages
publisher
Faculty of Engineering, LTH Department of Technology and Society Transport and Roads
defense location
Room V:B, V-building, John Ericssons väg 1, Lund University Faculty of Engineering.
defense date
2012-10-16 10:15
external identifiers
  • other:LUTVDG/(TVTT-1043)1-120/2012
ISSN
1653-1930
ISBN
978-91-7473-368-6
language
English
LU publication?
no
id
481f70b2-d4a9-4e7c-bb82-38a9248f9b2b (old id 3053200)
date added to LUP
2012-09-24 09:35:57
date last changed
2016-09-19 08:44:49
@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},
  issn         = {1653-1930},
  keyword      = {Crash involvement,jerk,safety critical event},
  language     = {eng},
  pages        = {120},
  publisher    = {Faculty of Engineering, LTH Department of Technology and Society Transport and Roads},
  series       = {Bulletin},
  title        = {The development of methods for detection and assessment of safety critical events in car driving},
  volume       = {277},
  year         = {2012},
}