Identifying conflict clusters of cyclists at a roundabout by automated traffic surveillance

There is a lack of knowledge about safety related road user behaviour, particularly interactions between cyclists and cyclists as well as between cyclists and other road users at particular places and conditions. Detailed knowledge in this regard is expected to improve the identification of systematic deficits in road design, traffic control, road surface markings and other factors. In addition, not much is known about the parameters that lead road users to behaviour that fosters critical situations. To gain detailed and precise behavioural data of road users, i.e. trajectories, a measuring campaign was conducted at a black-spot for accidents with cyclists in Berlin, Germany. The traffic has been detected by a fully automated traffic video analysis system continuously for twelve hours. The video surveillance system is capable of automatically extracting trajectories, classifying road user types and precise determining and positioning of conflicts and accidents. Additionally, pre-conflict and pre-accident situations could be analysed to provide further in-depth understanding of accident causation. The evaluation of the measuring campaign comprised the investigation of traffic parameters, e.g. traffic flow, as well as traffic-safety related parameters based on Surrogate Safety Measures (SSM). Furthermore, the spatial and temporal distributions of conflicts involving cyclists were determined. As a result, three possible conflict clusters could be identified, of which one cluster could be confirmed by detailed video analysis, showing conflicts caused by right turning vehicles.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783956063268
• Authors:
  • Saul, H
  • Junghans, M
  • Hoffmann, R
• Publication Date: 2017-6

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: 14p
• Monograph Title: 7th International Conference on ESAR „Expert Symposium on Accident Research“. Reports on the ESAR-Conference 2016 at Hannover Medical School
• Serial:
  • Berichte der Bundesanstalt fuer Strassenwesen. Unterreihe Fahrzeugtechnik
  • Issue Number: 117
  • Publisher: Fachverlag NW in der Carl Schuenemann Verlag GmbH
  • ISSN: 0943-9293

Subject/Index Terms

• ITRD Terms: 1663: Accident black spot; 6471: Analysis (math); 9001: Behaviour; 8525: Conference; 1742: Cyclist; 8633: Digital image processing; 8125: Germany; 8633: Image analysis; 8633: Image generation; 9102: Method; 1642: Near miss; 9061: Position; 438: Roundabout
• Subject Areas: I82: Accidents and Transport Infrastructure; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01646766
• Record Type: Publication
• Source Agency: Bundesanstalt für Straßenwesen (BASt)
• ISBN: 978-3-95606-326-8
• Files: ITRD
• Created Date: Sep 26 2017 10:43AM