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Frequency, determinants, and consequences of different drivers’ emotions: An on-the-road study using self-reports, (observed) behaviour, and physiology
Risk of injury by driving with alcohol and other drugs
Assessment of the risk of driving with alcohol, illicit drugs and medicines in various European countries and the study on relative risk of serious injury/fatality while positive for psychoactive substances finds that Finland, Norway, Sweden and Portugal are at risk.
Driving Under the Influence of Drugs, Alcohol and Medicines in Europe — findings from the DRUID project
The ‘state of the art’ review presents the results of the largest research project ever carried out in the EU on Driving under the influence of drugs, alcohol and medicines (the ‘DRUID’ project),…
A human factors perspective on automated driving
Interviews were conducted with expert researchers in the field of human factors of automated driving to identify commonalities and distinctive perspectives regarding HF challenges in the development of AVs, and experts indicated that an AV up to SAE Level 4 should inform its driver about the AV's capabilities and operational status, and ensure safety while changing between automated and manual modes.
Interaction between pedestrians and automated vehicles: A Wizard of Oz experiment
Prevalence of alcohol and other psychoactive substances in drivers in general traffic, part I: general results
A conceptual framework for road safety and mobility applied to cycling safety.
Do young novice drivers overestimate their driving skills more than experienced drivers? Different methods lead to different conclusions.
Riding performance on a conventional bicycle and a pedelec in low speed exercises: objective and subjective evaluation of middle-aged and older persons
Interactions between cyclists and automated vehicles: Results of a photo experiment*
- M. Hagenzieker, S. van der Kint, J. Commandeur
- PsychologyJournal of Transportation Safety & Security
- 2 January 2020
Findings generally point to cautious dispositions towards automated cars: participants were not more confident to be noticed when interacting with both types of automated cars than with manually driven cars.