Found 41 documents.

Cyclists’ intentions to yield for automated cars at intersections when they have right of way: Results of an experiment using high-quality video animations

Publication/article
Published: 2020 : Vlakveld, W.; Kint, S. van der; Hagenzieker, M.P.
Tags: Transport mode, Bicycle, Passenger car, Technology & ITS, Human behaviour in traffic,
What will cyclists do in future conflict situations with automated cars at intersections when the cyclist has the right of way? In order to explore this, short high-quality animation videos of...

FERSI position paper: Safety through automation? Ensuring that automated and connected driving contribute to a safer transportation system

Publication/article
Published: 2020 : Anund, A.; Lindström, A., Schagen, I, van; Linder, A.
Tags: Technology & ITS,
In 2018, the Forum of European Road Safety Research Institutes (FERSI) published a report on automated driving (AD) from a road safety point of view, prepared by a dedicated FERSI Working Group with...

Interactions between cyclists and automated vehicles: Results of a photo experiment

Publication/article
Published: 2020 : Hagenzieker, M.; Kint, S. van der; Vissers, L.; Schagen, I. van; Bruin, J. de; Gent, P. van; Commandeur, J.J.F.
Tags: Technology & ITS, Human behaviour in traffic,
Cyclists may have incorrect expectations of the behaviour of automated vehicles in interactions with them, which could bring extra risks in traffic. This study investigated whether expectations and...

Using naturalistic data to study time headway behind motorcycles and other vehicles

Publication/article
Published: 2019 : Winkelbauer, M; Donabauer, M.; Pommer, A.; Jansen, R.
Tags: Technology & ITS, Human behaviour in traffic, International,
Roughly 10% of motorcycle accidents in Austria are rear-end collisions. One explanatory factor for this could be short time headway, hence this research project. Naturalistic research provides a...

The potential of naturalistic driving for in-depth understanding of driver behavior: UDRIVE results and beyond

Publication/article
Published: 2019 : Nes, N. van; Bärgman, J.; Christoph, M.; Schagen, I. van
Tags: Transport mode, Powered two-wheeler, Passenger car, Freight and delivery traffic, Risks, Technology & ITS, Human behaviour in traffic,
Within the UDRIVE project, a rich cross-European naturalistic driving database was created which includes everyday driving data on car and truck drivers and powered two-wheeler riders. The database...

Maak de zelfrijdende auto een maatschappelijk succes

Publication/article
Published: 2018 : Eenink, R.; Wismans, L.; Hellinckx, P.
Tags: Technology & ITS, Policy,
Het Kennisinstituut voor de Mobiliteit (KiM) beschrijft in “Chauffeur aan het stuur?” vier toekomstbeelden voor de zelfrijdende auto (ZRA). Deze beelden variëren zowel in de mate van automatisering... Read more

Determinants of take-over time from automated driving: A meta-analysis of 129 studies

Publication/article
Published: 2019 : Zhang, B.; Winter, J. de; Varotto, S.; Happee, R.; Martens, M.
Tags: Transport mode, Passenger car, Freight and delivery traffic, Technology & ITS, Human behaviour in traffic,
An important question in automated driving research is how quickly drivers take over control of the vehicle in response to a critical event or a take-over request. Although a large number of studies...

Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes

Publication/article
Published: 2015 : Fildes, B.; Keall, M.; Bos, N.; Lie, A.; Page, Y.; Pastor, C.; Pennisi, L.; Rizzi, M.; Thomas, P.; Tingvall, C.
Tags: Risks, Technology & ITS,
This study set out to evaluate the effectiveness of low speed autonomous emergency braking (AEB) technology in current model passenger vehicles, based on real-world crash experience. The validating...

A conceptual model for persuasive in-vehicle technology to influence tactical level driver behaviour

Publication/article
Published: 2019 : Gent, P. van; Farah, H.; Nes, N. van; Arem, B. van
Tags: Technology & ITS, Human behaviour in traffic,
Persuasive in-vehicle systems aim to intuitively influence the attitudes and/or behaviour of a driver (i.e. without forcing them). However, the challenge in using these systems in a driving setting... Read more

Multi-level driver workload prediction using machine learning and off-the-shelf sensors

Publication/article
Published: 2018 : Gent, P. van; Melman, T.; Farah, H.; Nes, N. van; Arem, B. van
Tags: Technology & ITS, Human behaviour in traffic,
The present study aims to add to the literature on driver workload prediction using machine learning methods. The main aim is to develop workload prediction on a multi-level basis, rather than a...