How do oncoming traffic and cyclist lane position influence cyclist overtaking by drivers?. (July 2020)

• Record Type: Journal Article
• Authors: Rasch, Alexander; Boda, Christian-Nils; Thalya, Prateek; Aderum, Tobias; Knauss, Alessia; Dozza, Marco
• Is Part Of: Accident analysis and prevention. Volume 142(2020)
• Publication Date: 2020-07
• Subjects: Cycling safety -- Driver behaviour -- Driver assistance -- Test track -- Bayesian modelling; Accidents -- Prevention -- Periodicals; Accident Prevention -- Periodicals; Accidents -- Prévention -- Périodiques; 363.106
• DOI: 10.1016/j.aap.2020.105569
• Languages: English
• ISSNs: 0001-4575

Abstract

Highlights: 18 drivers overtook a robot cyclist on a test track with an oncoming robot vehicle. We varied time gap to the oncoming traffic and position of cyclist within the lane. Safety margins to the cyclist decreased as the situation became more critical. Drivers' risk compensation may explain safety margins during the whole manoeuvre. We created Bayesian models that may improve acceptance of active safety systems. Abstract: Overtaking cyclists is challenging for drivers because it requires a well-timed, safe interaction between the driver, the cyclist, and the oncoming traffic. Previous research has investigated this manoeuvre in different experimental environments, including naturalistic driving, naturalistic cycling, and simulator studies. These studies highlight the significance of oncoming traffic—but did not extensively examine the influence of the cyclist's position within the lane. In this study, we performed a test-track experiment to investigate how oncoming traffic and position of the cyclist within the lane influence overtaking. Participants overtook a robot cyclist, which was controlled to ride in two different lateral positions within the lane. At the same time, an oncoming robot vehicle was controlled to meet the participant's vehicle with either 6 or 9 s time-to-collision. The order of scenarios was randomised over participants. We analysed safety metrics for the four different overtaking phases, reflecting drivers' safety margins to rear-end, head-on, and side-swipe collisions, in order to investigate the two binary factors: 1) time gap between ego vehicle and oncoming vehicle, and 2) cyclist lateral position. Finally, the effects of these two factors on the safety metrics and the overtaking strategy (either flying or accelerative depending on whether the overtaking happened before or after the oncoming vehicle had passed) were analysed. The results showed that, both when the cyclist rode closer to the centre of the lane and when the time gap to the oncoming vehicle was shorter, safety margins for all potential collisions decreased. Under these conditions, drivers—particularly female drivers—preferred accelerative over flying manoeuvres. Bayesian statistics modelled these results to inform the development of active safety systems that can support drivers in safely overtaking cyclists.