TY - CONF A1 - Saul, H. A1 - Junghans, M. A1 - Hoffmann, R. T1 - Identifying conflict clusters of cyclists at a roundabout by automated traffic surveillance N2 - 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. KW - Analyse (math) KW - Beinahe Unfall KW - Deutschland KW - Digitale Bildverarbeitung KW - Konferenz KW - Kreisverkehrsplatz KW - Ort (Position) KW - Radfahrer KW - Unfallschwerpunkt KW - Verfahren KW - Verhalten KW - Accident black spot KW - Analysis (math) KW - Behaviour KW - Conference KW - Cyclist KW - Digital image processing KW - Germany KW - Image analysis KW - Image generation KW - Method KW - Near miss KW - Position KW - Roundabout Y1 - 2017 UR - https://bast.opus.hbz-nrw.de/frontdoor/index/index/docId/1814 UR - https://nbn-resolving.org/urn:nbn:de:hbz:opus-bast-18145 ER -