Our projects

With the help of data from Hövding helmets in traffic, the researchers intends to investigate the possibilities of predicting where, and when, accidents are likely to occur. By combining the data from accelerations and GPS information collected by connected Hövding
The development and application of automated driving technology has shown a great potential in improving traffic safety and traffic efficiency. It will bring tremendous impact and subversive changes to the operating mode of the entire traffic system. It will also
Heavy Automated Vehicle Operation Center (HAVOC) - Requirements and HMI design This project addresses a portion of numerous human behavior challenges identified in a recent SAFER-prestudy (Human factors related to remote control of automated heavy vehicles). The aim is to


CO2 effects on driver state and driving performance Recent studies suggest that moderate CO2 levels (1000<5000 ppm), may affect negatively human state and performance. Since these levels have been commonly found inside of standard vehicles, their effects on driver state
The project will develop knowledge about the cause of traffic accidents with elderly drivers (65+), which has a direct impact on reducing traffic accidents and strive towards vision zero. The project will focus on accident circumstances, driver diagnoses & medications
AI Powered Awareness for Traffic Safety (Swedish title: AI-förstärkt lägesbild för ökad trafiksäkerhet) The purpose of the project is to establish a strong project-based collaboration between Singapore and Sweden in the Smart Mobility domain with the aim to investigate and
Re-SAFE focuses on using virtual reality (VR) to study interactions with connected and automated vehicles (CAVs) from the perspective of a vulnerable road user (VRUs). The project is based in the newly established virtual reality hub on Traffic Safety at
Project B-0012 within SAFER's Open Research at AstaZero Program. Goals and Purposes The goal of this project is to evaluate crucial experimental properties and data collection configurations for establishing a safety dataset that can be used for AI training and

FICA stands for Factors Influencing the Causation of Accidents and incidents. FICA is a national research project that through studies of accidents and incidents aims at identifying factors that influence the occurrence of accidents in traffic. This will form the
A large body of research, including in-depth accident analysis as well as naturalistic driving studies, has identified driver inattention as one of the leading causes of road crashes. Driver inattention relates to a wide range of specific factors such as
The purpose of this project is to increase the competence for road safety analyses at Chalmers that will support all SAFER partners. The project aims to co-finance the employment of one person at the Department for Applied Mechanics who will
SeMiFOT will further develop the Naturalistic Field Operational Test (FOT) method into a powerful tool in traffic safety research. The naturalistic method involves collecting data continuously from a suite of vehicle sensors in order to assess safety in the interactions
Ongoing field data studies (e.g. FOT, NDS) offer possibilities to address safety issues with respect to safe driving. This data, combined with conventional accident data and other sources, enables new collection and analysis methods to formulate improved safety requirements and
Background: Longer Combination Vehicles (LCVs) have received increased interest in recent years. LCVs have 25 to 100% larger cargo space than typical truck-trailer combination vehicles. Therefore, they are expected to increase transport efficiency and thereby decrease costs as well as
FOT-Net Data is a Support Action for international co-operation that targets efficient sharing and re-use of global data sets. It continues European and international networking activities in the domain of Field Operational Tests (FOT). During the lifetime of the different
The project is seeking to gather information about the scope, determinants, consequences and management of sleepiness in transport in Norway, with a focus on human operators. It includes an evaluation of a demonstration fatigue management program, implemented in a leading

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.

Contact information


Lindholmspiren 3A
SE-417 56 Göteborg

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