- AutorIn
- Yuqing Zhao Department of Mechanical Systems Engineering, Nagoya University, Japan
- Koji MizunoDepartment of Mechanical Systems Engineering, Nagoya University, Japan
- Titel
- Cyclist Behavior to Avoid Vehicle Collisions Using Drive Recorder Videos
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-825149
- Konferenz
- International Cycling Safety Conference (ICSC). Dresden, 08.-10. November 2022
- Quellenangabe
- Contributions to the 10th International Cycling Safety Conference 2022 (ICSC2022)
Herausgeber: Prof. Dr. Tibor Petzoldt
Herausgeber: Prof. Dr. Regine Gerike
Herausgeber: Juliane Anke
Herausgeber: Dr. Madlen Ringhand
Herausgeber: Bettina Schröter
Erscheinungsort: Dresden
Verlag: Technische Universität Dresden
Erscheinungsjahr: 2022
Seiten: 131-133 - Erstveröffentlichung
- 2022
- DOI
- https://doi.org/10.25368/2022.459
- Abstract (EN)
- Since bicycles travel at high speeds and are frequently involved in traffic accidents, reducing bicycle fatalities and injuries is one of the most important issues in traffic safety. In car-to-cyclist collisions, the perpendicular configuration occupies the largest proportion of these collisions. Driver responses in lateral intrusions of cyclists at intersections have been examined [1,2], focusing on the drivers' braking reaction time and the time-to-collisions (TTC). Cyclist behavior can also have a significant intluence on car-to-cyclist collision occurrence. Cyclist bebavior has been investigated in naturalistic conditions and using in-depth accident data. In addition, the videos of drive recorders provide useful information on the cyclist behaviors [3]. This study investigated cyclist behavior with the drive recorder of cars in near-miss incidents and collisions. [From: Introduction]
- Freie Schlagwörter (DE)
- Kollision zwischen Auto und Radfahrer, Ausweichverhalten von Radfahrern, Fahrtenschreiber, ICSC
- Freie Schlagwörter (EN)
- Car-to-cyclist collision, Cyclist avoidance behavior, Drive recorder, ICSC
- Publizierende Institution
- Technische Universität Dresden, “Friedrich List” Faculty of Transport and Traffic Sciences, Institute of Transport Planning and Road Traffic
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-825149
- Veröffentlichungsdatum Qucosa
- 02.01.2023
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0