• search hit 1 of 1
Back to Result List

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

  • Cyclists are more likely to be injured in fatal crashes than motorised vehicles. To gain detailed and precise behavioural data of road users, i.e. trajectories, a measuring campaign was conducted. Therefore, a black-spot for accidents with cyclists in Berlin, Germany was selected. 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.

Download full text files

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Author:H. Saul, M. Junghans, R. Hoffmann
Document Type:Conference Proceeding
Date of Publication (online):2017/10/17
Year of first publication:2017
Contributing corporation:Institut für Verkehrssystemtechnik
Release Date:2017/10/17
Tag:Analyse (math); Beinahe Unfall; Deutschland; Digitale Bildverarbeitung; Konferenz; Kreisverkehrsplatz; Ort (Position); Radfahrer; Unfallschwerpunkt; Verfahren; Verhalten
Accident black spot; Analysis (math); Behaviour; Conference; Cyclist; Digital image processing; Germany; Image analysis; Image generation; Method; Near miss; Position; Roundabout
Source:7th International Conference on ESAR "Expert Symposium on Accident Research" 2016
Institutes:Sonstige / Sonstige
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
collections:BASt-Beiträge / ITRD Sachgebiete / 82 Unfall und Verkehrsinfrastruktur
BASt-Beiträge / ITRD Sachgebiete / 83 Unfall und Mensch
BASt-Beiträge / Tagungen / International Conference on ESAR / 7th International Conference on ESAR
Licence (German):License LogoBASt / Link zum Urhebergesetz

$Rev: 13581 $