Abstract

To a large extent, traffic safety improvements rely on reliable and full-covering accident registration. This is difficult to obtain in practice. Hence, surrogate measures as traffic conflict studies can contribute with more information. To make these studies more efficient, a software called RUBA has been developed. It works as a watchdog – if a passing road user affects defined part(s) of the video frame, RUBA records the time of the activity. It operates with three type of detectors (defined parts of the video frame): 1) if a road user passes the detector independent of the direction, 2) if a road user passes the area in one pre-adjusted specific direction and 3) if a road user is standing still in the detector area. Also, RUBA can be adjusted so it registers massive entities (e.g. cars) while less massive ones (e.g. cyclists) are not registered. The software has been used for various analyses of traffic behaviour: traffic counts with and without removal of different modes of transportation, traffic conflicts, traffic behaviour for specific traffic flows and modes and comparisons of speeds in rebuilt road areas. While there is still space for improvement regarding data treatment speed and user-friendliness, it is the conclusion that, at present, the RUBA software assists a number of traffic behaviour studies more efficiently and reliably than what is obtainable by human observers.
Original languageEnglish
Title of host publicationProceedings of the 24th ITS World Congress
Number of pages10
PublisherITS World
Publication date2017
Pages1-10
Article numberEU-SP1137
Publication statusPublished - 2017
Event24th ITS World Congress Montreal 2017 - Montreal, Canada
Duration: 29 Oct 20172 Nov 2017
Conference number: 24

Conference

Conference24th ITS World Congress Montreal 2017
Number24
CountryCanada
CityMontreal
Period29/10/201702/11/2017

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Detectors
Accidents
Railroad cars

Keywords

  • Road user behaviour

Cite this

@inproceedings{334f4d6423614dce920fd67bc0914b3e,
title = "Road user behaviour analyses based on video detections: Status and best practice examples from the RUBA software",
abstract = "To a large extent, traffic safety improvements rely on reliable and full-covering accident registration. This is difficult to obtain in practice. Hence, surrogate measures as traffic conflict studies can contribute with more information. To make these studies more efficient, a software called RUBA has been developed. It works as a watchdog – if a passing road user affects defined part(s) of the video frame, RUBA records the time of the activity. It operates with three type of detectors (defined parts of the video frame): 1) if a road user passes the detector independent of the direction, 2) if a road user passes the area in one pre-adjusted specific direction and 3) if a road user is standing still in the detector area. Also, RUBA can be adjusted so it registers massive entities (e.g. cars) while less massive ones (e.g. cyclists) are not registered. The software has been used for various analyses of traffic behaviour: traffic counts with and without removal of different modes of transportation, traffic conflicts, traffic behaviour for specific traffic flows and modes and comparisons of speeds in rebuilt road areas. While there is still space for improvement regarding data treatment speed and user-friendliness, it is the conclusion that, at present, the RUBA software assists a number of traffic behaviour studies more efficiently and reliably than what is obtainable by human observers.",
keywords = "Road user behaviour, Road user behaviour",
author = "Charlotte T{\o}nning and Madsen, {Tanja Kidholm Osmann} and Bahnsen, {Chris Holmberg} and Moeslund, {Thomas B.} and Niels Agerholm and Lahrmann, {Harry Spaab{\ae}k}",
year = "2017",
language = "English",
pages = "1--10",
booktitle = "Proceedings of the 24th ITS World Congress",
publisher = "ITS World",

}

Tønning, C, Madsen, TKO, Bahnsen, CH, Moeslund, TB, Agerholm, N & Lahrmann, HS 2017, Road user behaviour analyses based on video detections: Status and best practice examples from the RUBA software. in Proceedings of the 24th ITS World Congress., EU-SP1137, ITS World, pp. 1-10, 24th ITS World Congress Montreal 2017, Montreal, Canada, 29/10/2017.

Road user behaviour analyses based on video detections : Status and best practice examples from the RUBA software. / Tønning, Charlotte; Madsen, Tanja Kidholm Osmann; Bahnsen, Chris Holmberg; Moeslund, Thomas B.; Agerholm, Niels; Lahrmann, Harry Spaabæk.

Proceedings of the 24th ITS World Congress. ITS World, 2017. p. 1-10 EU-SP1137.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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N2 - To a large extent, traffic safety improvements rely on reliable and full-covering accident registration. This is difficult to obtain in practice. Hence, surrogate measures as traffic conflict studies can contribute with more information. To make these studies more efficient, a software called RUBA has been developed. It works as a watchdog – if a passing road user affects defined part(s) of the video frame, RUBA records the time of the activity. It operates with three type of detectors (defined parts of the video frame): 1) if a road user passes the detector independent of the direction, 2) if a road user passes the area in one pre-adjusted specific direction and 3) if a road user is standing still in the detector area. Also, RUBA can be adjusted so it registers massive entities (e.g. cars) while less massive ones (e.g. cyclists) are not registered. The software has been used for various analyses of traffic behaviour: traffic counts with and without removal of different modes of transportation, traffic conflicts, traffic behaviour for specific traffic flows and modes and comparisons of speeds in rebuilt road areas. While there is still space for improvement regarding data treatment speed and user-friendliness, it is the conclusion that, at present, the RUBA software assists a number of traffic behaviour studies more efficiently and reliably than what is obtainable by human observers.

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