Our projects

Year 2020, in conjunction with the 3rd UN Conference on Road Safety, the international community was mature to bring together traffic safety in a sustainability context. Sustainability and road safety must go hand in hand to achieve the 2030 targets.
While automated vehicles are expected to have a great positive impact on traffic safety, the interaction between manual driven vehicles and automated vehicles remains unknown until their introduction in real traffic. Some of the challenging interactions occur in cut-in (manual
Traffic is complex! It is the sum of road design, road user behavior, and their interactions. Understanding this dynamic is central to making the transport system efficient, safe, and sustainable — in line with the UN Sustainable Development Goals 11
Bicycle studies can be dangerous to perform, new solutions may not be easily implementable in the real world, and it can be complicated to collect accurate data in an uncontrolled environment. The bicycle simulators that exist today are often fixed
This project explores how external Human Machine Interfaces (HMIs) can be used by Connected and Automated Vehicles (CAVs) to communicate their presence and intentions to nearby Vulnerable Road Users (VRUs). Virtual Reality will be used to secure efficient evaluations and
Simulering och Emulering av Vattenspray för Validering av Optiska Sensorer The purpose of the project is to be able to establish a method for simulation of water spray, emulation of water spray in rigs, and to check that the achieved
Full title: Self-driving bikes for more realistic development and testing of, in vehicle, systems for bike safety The goal is to develop self-driving bicycles to perform tests for development and validation of vehicle safety systems. For active safety systems, the
Safe and secure transport corridors in India is the first SITIS Project (SSTCI, https://www.sibc.se/sitis-0 ). The aim of the project is to gather an in-depth understanding of road user behavior in the context of intercity bus transport in India, and

Safety analysis and verification/validation of MachIne LEarning based systems (SMILE III) The purpose of SMILE III is to further develop and demonstrate the safety-cage concept developed in previous projects. The goal is to be able to safely use ML-based functions
Open data for Bicycle Classification for better planning and simulation, and for better Detection from motorized vehicles (OpenBike-CD) Bicycling is an active mode of transport with positive effects on, among other things, health, physical conditions, less congestion, and less emissions.
The automotive industry is developing and introducing automated vehicles in the transport/mobility system, and these systems have to be both legally and ethically compliant, in particular when it comes to data handling. The automated driving systems (ADS) in the EGO
An important restriction in the current Finite element human body models (FE-HBMs) is the material models implemented, as biofidelity is sacrificed to accommodate computationally stable models. But also, because experimental data on tissue level is much lacking for the development
The project aims to investigate and specify the Swedish Transport Administration’s requirements for Road-side image processing, e.g. what is state of the art and what has already been done, are there existing solutions we can further utilize? Possible data scources,
This FFI pre-study is a follow-up of our SAFER pre-study Safety Culture For Automation In Transport Companies ( https://www.saferresearch.com/projects/safety-culture-automation-transp… ). Safety culture is the prevailing way of thinking and acting at a workplace in relation to risks and safety, i.e.
Advanced Driver Assistance Systems (ADAS) and autonomous driving (AD) are progressing towards higher speeds and more complex dynamic scenarios, where the on-board sensor systems may not be sufficient to provide adequate awareness of traffic situation for accurate and timely situation
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

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