The ‘safety in density’ effect for cyclists and motor vehicles in Scandinavia: An observational study

Johnsson, Carl; Laureshyn, Aliaksei; D’Agostino, Carmelo; Ceunynck, Tim De

doi:10.1016/j.iatssr.2020.08.003

Cited by 5 publications

(1 citation statement)

References 22 publications

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“…The encounters (n = 417) were manually selected using the following definition-two road users must be heading towards the common conflict area in a way that: (i) both road users are in motion, and the latest one should have crossed the stop line before the first one leaves the conflict area (i.e. a collision at least hypothetically should be possible); (ii) if the encounter involved queueing motor vehicles or/and a group of cyclists, trajectories were only made for the pair of cyclist/motor vehicle that were closest to each other; the elaborated reasoning behind this definition can be found in Johnsson et al (2020). • A dataset of safety critical events (conflicts).…”

Section: Exploration Datasetmentioning

confidence: 99%

Identification of evasive manoeuvres in traffic interactions and conflicts

Johnsson

Laureshyn

2022

TSR

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The study presents a simple and easy to implement method for detection of the evasive action start in traffic interactions. The method is based on comparison of the studied trajectory with a reference set of ‘unhindered’ trajectories, interpreting the start of evasive action as the moment when no more similarities can be found. The suggested algorithm performs well for primary interactions when road users arrive in an unhindered state. It fails, however, in case of secondary interactions. Explorative application of the method on a large dataset of normal and conflict traffic situations concludes that traffic conflicts occur more frequently in secondary interactions, presumably due to higher cognitive load on the involved road users. Despite the limitations, the method can be used both for the safety studies based on traffic conflicts and for more general quantification and visualisation of the road user behaviour.

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Section: Exploration Datasetmentioning

confidence: 99%