There is an increasing automation in road transport, involving introduction of fully automated vehicles (AV) in some areas. Organizations that introduce automated vehicles need support on how to develop a sustainable safety culture with zero accidents.
Author(s)
Christina Stave
Year of publication
2021
This paper presents initial work on a context-dependent driver distraction detection algorithm called AttenD2.0, which extends the original AttenD algorithm with elements from the Minimum Required Attention (MiRA) theory. Central to the original AttenD algorithm is
Author(s)
Christer Ahlström, George Georgoulas, Katja Kircher
Published in
IEEE Transactions on Intelligent Transportation Systems
Year of publication
2021
The objective of this study was to compare the development of sleepiness during manual driving versus level 2 partially automated driving, when driving on a motorway in Sweden. The hypothesis was that partially automated driving will
Author(s)
Christer Ahlström, Raimondas Zemblys, Herman Jansson, Christian Forsberg, Johan Karlsson, Anna Anund
Published in
Accident Analysis & Prevention
Year of publication
2021
Tens of millions are annually injured in Road Traffic Accidents (RTAs) worldwide, while the estimated number of RTA fatalities amounted to 1.35 million in 2016. In Europe, car occupants hold the largest share (48%) of fatalities
Author(s)
Alexandros Leledakis
Published in
Chalmers University of Technology
Year of publication
2021
As the vehicle fleet becomes more equipped with crash avoidance systems, the proportion of crashes preceded by evasive manoeuvres is expected to increase. In an evasive manoeuvre, occupant position and posture can be influenced by the
Author(s)
Emma Larsson
Published in
Chalmers tekniska högskola
Year of publication
2021
Since the rapid outbreak and continued global spread of the Coronavirus Disease (COVID-19) in 2020, aspects of much of our day-to-day life in society has been impacted – our workplaces are no exception. Due to the
Author(s)
Arne Nåbo, Musa Hadi, Emma Johansson, Stas Krupenia, Annika Larsson, Arun Muthumani, Mikael Söderman
Year of publication
2020
Three dimensional (3D) textiles are finding their way into fibre reinforced composite applications, and for good reasons; they can eliminate the hazard of delamination and enable complex reinforcement shapes. There is therefore a need for engineering
Author(s)
Fredrik Stig, Stefan Hallström
Published in
Composite Structures
Year of publication
2020
The automotive industry is strongly dependent on efficient numerical tools in order to assess the crashworthiness of laminated composites. Unfortunately, to achieve predictive assessments of fracture in laminated composites one must resort to computationally costly, high-fidelity
Author(s)
Johannes Främby, Jesper Karlsson, Martin Fagerström
Published in
16th International LS-DYNA® Users Conference
Year of publication
2020
This article addresses dynamic behaviour of fibre reinforced polymer composites in terms of a transversely isotropic viscoelastic-viscoplastic constitutive model established at the unidirectional ply level. The model captures the prelocalized response of the ply in terms
Author(s)
Larsson R., Singh V., Olsson R., Marklund E.
Published in
Mechanics of Materials
Year of publication
2020
A mesoscale model for fibre kinking onset and growth in a three-dimensional framework is developed and validated against experimental results obtained in-house as well as from the literature. The model formulation is based on fibre kinking
Author(s)
Sérgio Costa, Martin Fagerström, Robin Olsson
Published in
Composites Science and Technology
Year of publication
2020

Safer – Vehicle and Traffic Safety Centre

SAFER is the open research arena where researchers and expertise work together to create safe mobility. Our traffic safety approach covers people, vehicles and the infrastructure – and together we contribute to safer road transports and smarter, more sustainable cities.

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SAFER

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 safer [at] chalmers.se