Resumé

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.
OriginalsprogEngelsk
TitelProceedings of the 24th ITS World Congress
Antal sider10
ForlagITS World
Publikationsdato2017
Sider1-10
ArtikelnummerEU-SP1137
StatusUdgivet - 2017
Begivenhed24th ITS World Congress Montreal 2017 - Montreal, Canada
Varighed: 29 okt. 20172 nov. 2017
Konferencens nummer: 24

Konference

Konference24th ITS World Congress Montreal 2017
Nummer24
LandCanada
ByMontreal
Periode29/10/201702/11/2017

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Detectors
Accidents
Railroad cars

Emneord

  • Road user behaviour

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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",

}

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. s. 1-10 EU-SP1137.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

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AU - Tønning, Charlotte

AU - Madsen, Tanja Kidholm Osmann

AU - Bahnsen, Chris Holmberg

AU - Moeslund, Thomas B.

AU - Agerholm, Niels

AU - Lahrmann, Harry Spaabæk

PY - 2017

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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.

AB - 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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