Our projects

Mediating between Driver and Intelligent Automated Transport system on our roads (MEDIATOR) proposes an intelligent ‘mediating’ support system for road transport, enabling safe, realtime switching between human driver and system. It will constantly evaluate driving context, driver state and vehicle
Drive2theFuture aims to prepare “drivers”, travelers and vehicle operators of the future to accept and use connected, cooperative and automated transport modes and the industry of these technologies to understand and meet their needs and wants. To achieve this, it
Safety and ease-of-use assessment of new electric vehicles for personal mobility (e-PMVs) in urban environment (Safe-ePMVs) The move towards a future sustainable transport system requires new transport solutions that are at the same time easy-to-use and safe. Among the new
Scale-up: Crowdsourcing for scaling up evaluation of external interfaces on automated vehicles External interfaces are expected to facilitate safer interactions between automated vehicles (AVs) and other road users. These interfaces are in an early design stage and are, at the
This CTS project will develop new methods for evaluating the safety and traffic flow impact when autonomous vehicles mix withmanually driven vehicle. Comparisons between Swedish and Chinese road conditions will be studied, data is to be collected in China and
This CTS project targets the need to develop tools to improve VRU protection in traffic that can support conditions in Europe an and Asian traffic conditions, including research in Sweden as well as China. The approach includes the aspects of
Whiplash Associated Disorder (WAD) is the most common and costly traffic injury. It can result in long lasting and debilitating pain in the neck region, but there is a serious lack of established and effective diagnosis and treatment. Recent developments
SEnsor for Bicycle’s impRoved Awareness (SEBRA) will identify the most relevant traffic safety related use-cases that involve bicycles. Then, a radar-based safety system for bicycles is developed with both sensors and human interface. Finally, the system is evaluated in relevant

Safe mobility on a bicycle for sustainable aging (SAMÖ) will identify factors that make the elderly choose the cycle before other means of transport to a greater extent. The project will also contribute to marketing of bicycles that are better
VICTIg is a collaboration project between the SAFER partners VTI (Swedish National Road and Transport Research Institute) and Halmstad University. The aim is to discover better methods for development and test of software functions for cooperative, automated and assisted vehicle
Video and time series data collected through Video Event Recorder (VER) equipment installed in vehicles have been identified as a valuable source for insights into the causation of crashes. Previous collaborations with a commercial company providing behaviour-based-safety services allowed the
Tillförlitlig krockmodellering av fiberkompositer för lättviktsfordon (Compcrash 2) Compcrash 2 involves joint work on crash behaviour of composite materials by two PhD students who have previously worked in two separate projects “Compcrash 1” and “FFI-Crash 2”. The main aim has
Wallenberg Autonomous Systems and Software Program (WASP) is a large national research program involving several universities as well as industrial partners. WARA-CAT (Wallenberg Autonomous Research Arenas – Collaborative Autonomous Transport) is part of WASP and aims at providing test equipment
Microwaves and Electrical bio-impedance for diagnosing thoracic injuries: Test on a porcine pneumothorax and haemothorax model. In this pilot-study the objective was to determine if microwaves and electrical bio-impedance could have the potential to detectthoracic injuries commonly occurring in road
The objective was to determine if patients sustaining major trauma in road traffic crashes in Sweden were transported to the most appropriate hospital or not for treatment, i.e. if "trauma centers" were utilized as expected. The study was carried out
On Scene Injury Severity Prediction (OSISP) Algorithm Improvement Using Data Science The objective was to enhance an existing OSISP algorithm in four dimensions. These dimensions are performance, validity, usability and generalizability. The approach is based on the use of big

Safer – Vehicle and Traffic Safety Centre

SAFER is the open innovation 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.

Contact information


Lindholmspiren 3A
SE-417 56 Göteborg

 +46 31-772 21 06
 safer [at] chalmers.se