Cyclists’ predictions of what a car driver will do next at intersections

Conference Paper (2017)
Author(s)

Natalia Kovacsova (Stichting Wetenschappelijk Onderzoek Verkeersveiligheid (SWOV), TU Delft - Biomechatronics & Human-Machine Control)

J. C.F. Winter (TU Delft - Biomechatronics & Human-Machine Control)

Marjan Hagenzieker (TU Delft - Transport and Planning, Stichting Wetenschappelijk Onderzoek Verkeersveiligheid (SWOV))

Research Group
Biomechatronics & Human-Machine Control
Copyright
© 2017 N. Kovacsova, J.C.F. de Winter, Marjan Hagenzieker
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 N. Kovacsova, J.C.F. de Winter, Marjan Hagenzieker
Research Group
Biomechatronics & Human-Machine Control
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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?