Application of automated video analysis to road user behaviour
Laureshyn, Aliaksei LU
(2010)
- Abstract
- The successful planning, design and management of a traffic system is impossible without knowledge of how the traffic environment affects the behaviour of road users and how the behaviour is related to the main qualities of the traffic system (e.g. safety, efficiency). Automated video analysis is a promising tool for traffic behaviour research in that it enables collection of micro-level behaviour data for large populations of road users and provides a detailed description of their motion. This thesis describes the tests done with an automated video analysis system developed at Lund University. The system was used in two large scale studies with the main task of detecting the presence of road users of a particular type. Accuracy of... (More)
- The successful planning, design and management of a traffic system is impossible without knowledge of how the traffic environment affects the behaviour of road users and how the behaviour is related to the main qualities of the traffic system (e.g. safety, efficiency). Automated video analysis is a promising tool for traffic behaviour research in that it enables collection of micro-level behaviour data for large populations of road users and provides a detailed description of their motion. This thesis describes the tests done with an automated video analysis system developed at Lund University. The system was used in two large scale studies with the main task of detecting the presence of road users of a particular type. Accuracy of position and speed estimates were tested in a study specially designed for that purpose. The thesis also elaborates on the problem of relating the behaviour of road users to safety and proposes organising all the elementary events in traffic (defined here as encounters between two road users) into a severity hierarchy. The process of an encounter is described with a set of continuous safety indicators that can handle the various approach angles and transfer between being and not being on a collision course. When an objective measure for an encounter severity is found, the severity hierarchies may be used not only for describing safety but also for studying the balance between safety and other qualities valued by road users. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1522969
- author
- Laureshyn, Aliaksei
LU
- supervisor
-
- Christer Hydén LU
- Åse Svensson LU
- opponent
-
- Professor Carsten, Oliver, University of Leeds, Leeds, United Kingdom
- organization
- publishing date
- 2010
- type
- Thesis
- publication status
- published
- subject
- keywords
- safety indicators, traffic safety, traffic conflicts, Video analysis, road user behaviour
- pages
- 202 pages
- defense location
- Room V:B, V-building, John Ericssons väg 1, Lund University Faculty of Engineering
- defense date
- 2010-01-29 10:15:00
- ISBN
- 978-91-628-8003-3
- language
- English
- LU publication?
- yes
- id
- 0d1697f5-8e26-4f16-b933-679295264d75 (old id 1522969)
- date added to LUP
- 2016-04-04 09:29:10
- date last changed
- 2020-06-27 02:25:00
@phdthesis{0d1697f5-8e26-4f16-b933-679295264d75,
abstract = {{The successful planning, design and management of a traffic system is impossible without knowledge of how the traffic environment affects the behaviour of road users and how the behaviour is related to the main qualities of the traffic system (e.g. safety, efficiency). Automated video analysis is a promising tool for traffic behaviour research in that it enables collection of micro-level behaviour data for large populations of road users and provides a detailed description of their motion. This thesis describes the tests done with an automated video analysis system developed at Lund University. The system was used in two large scale studies with the main task of detecting the presence of road users of a particular type. Accuracy of position and speed estimates were tested in a study specially designed for that purpose. The thesis also elaborates on the problem of relating the behaviour of road users to safety and proposes organising all the elementary events in traffic (defined here as encounters between two road users) into a severity hierarchy. The process of an encounter is described with a set of continuous safety indicators that can handle the various approach angles and transfer between being and not being on a collision course. When an objective measure for an encounter severity is found, the severity hierarchies may be used not only for describing safety but also for studying the balance between safety and other qualities valued by road users.}},
author = {{Laureshyn, Aliaksei}},
isbn = {{978-91-628-8003-3}},
keywords = {{safety indicators; traffic safety; traffic conflicts; Video analysis; road user behaviour}},
language = {{eng}},
school = {{Lund University}},
title = {{Application of automated video analysis to road user behaviour}},
url = {{https://lup.lub.lu.se/search/files/5337337/1522970.pdf}},
year = {{2010}},
}