Abstract
In the Netherlands, 30% of fatal crashes between 2010 and 2015 involved a cyclist [1], with a large portion of these crashes occurring at intersections in urban areas. Contributing factors to driver-cyclist collisions at intersections are not only inadequate visual search, but also incorrect expectations about the other’s intentions [2]. Research also suggests that crashes between drivers and cyclists often happen even when the cyclist must have seen the approaching car [2].
The ability to anticipate future events is crucial for safe performance in traffic [3]. Recently, research has started on hazard anticipation in cycling. For example, an experiment using a hazard perception test has found that adult cyclists detect hazards earlier than children [4]. Furthermore, results from an eye-tracking experiment using animated video clips showed that cyclists are more likely to look at an approaching car (e.g., a car on a collision course) than to a car that has stopped before the intersection or a car that has passed the intersection [5]. However, it is unknown at which point in time and based on which visual cues a cyclist can predict that a perceived hazard becomes an actual hazard (i.e., that the car driver will not yield to a cyclist).
We developed a video-based survey with the aim to gain an understanding of cyclists’ predictions in hazardous intersection situations. The following research questions were addressed herein:
(1) How do cyclists’ predictions of the behavior of a car change in the moments prior to a crash or near miss with that car?
(2) Is there a difference in cyclists’ predictions of the car’s behavior between crash and near miss scenarios?
The ability to anticipate future events is crucial for safe performance in traffic [3]. Recently, research has started on hazard anticipation in cycling. For example, an experiment using a hazard perception test has found that adult cyclists detect hazards earlier than children [4]. Furthermore, results from an eye-tracking experiment using animated video clips showed that cyclists are more likely to look at an approaching car (e.g., a car on a collision course) than to a car that has stopped before the intersection or a car that has passed the intersection [5]. However, it is unknown at which point in time and based on which visual cues a cyclist can predict that a perceived hazard becomes an actual hazard (i.e., that the car driver will not yield to a cyclist).
We developed a video-based survey with the aim to gain an understanding of cyclists’ predictions in hazardous intersection situations. The following research questions were addressed herein:
(1) How do cyclists’ predictions of the behavior of a car change in the moments prior to a crash or near miss with that car?
(2) Is there a difference in cyclists’ predictions of the car’s behavior between crash and near miss scenarios?
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 6th Annual International Cycling Safety Conference - ICSC 2017 |
| Editors | Lisa Aultman-Hall, Ralph Buehler, Jeremy Chapman |
| Place of Publication | Davis, CA, USA |
| Publisher | University of California |
| Number of pages | 3 |
| Publication status | Published - 2017 |
| Event | ICSC 2017: 6th Annual International Cycling Safety Conference - Davis, United States Duration: 20 Sept 2017 → 23 Sept 2017 |
Conference
| Conference | ICSC 2017: 6th Annual International Cycling Safety Conference |
|---|---|
| Country/Territory | United States |
| City | Davis |
| Period | 20/09/17 → 23/09/17 |
Keywords
- predictions
- bicycle-car interaction,
- survey
- crowdsourcing