Our projects

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
ICONIC - Improving the crashworthiness of composite transportation structures The European aerospace, automotive, and rail industries are committed to improving their energy efficiency to meet targets set within the EU’s climate, energy and transport policies. This is motivating the increased
An open study evaluating the diagnostic accuracy of a microwave-based device to detect traumatic intracranial haemorrhage (TICH), by comparing measurements on trauma patients with confirmed vs excluded TICH. This open study will enrol trauma patients admitted to the Trauma Unit,
Realistic simulation of vehicles for safer, more robust and less expensive development of automated vehicles. It is very expensive and time consuming to annotate e.g. “real” video data to use it for training of e.g. neural networks. This project aims
In this project researchers from Chalmers and Volvo Group, in collaboration with several other companies, will develop technologies for transporting containers on public roads, completely autonomous, without drivers. The tests will be conducted at AstaZero test track and at Viared
Continuation of Drive Sweden Test Site Automated Highway I+II that aim at improving visibility and coordination between actors and between projects that demonstrate and test autonomous regional and remote transport of goods and persons, and how such transport can contribute
The purpose of this project is to build a safe and efficient transport system that is capable of operating both in narrow spaces and on public roads. The system will work with or without support from various infrastructure systems such
The ESPLANADE project targets the complex question of showing that an autonomous road vehicle is safe. This problem is significantly different from safety argumentation for manually driven vehicles. Since the automated driving system (ADS) has complete control of the vehicle

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
Detecting Chronic Subdural Hematoma with Microwave Technology - An open study evaluating the sensitivity and specificity of a microwave-based device, Medfield Strokefinder MD100, to detect chronic subdural hematoma (CSH), by comparing measurements on patients recruited for surgery of chronic subdural
The project will improve visibility and coordination between actors and projects for testing and demo of autonomous regional and long-distance transport. Regular meetings between the partners and the collaboration with CLOSER have given a common picture of what's going on.
Step 1: Computerized Clinical Decision Support To Improve Trauma Triage and Risk Assessment: A Low fidelity OSISP prototype The first step of the project aim was to design a low-fidelity prototype of a clinical decision support system utilizing an on-scene
The project aims to answer the question in what ways autonomous transport solutions will create value for people with varying needs and how we can model the benefits for future innovations. Human factors involved in interactions with automated transport system

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 3
SE-417 56 Göteborg

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