Dedicated to save lives, prevent injuries and enable safe mobility
Collaborative traffic safety research for zero fatalities
How can active systems and automation predict and prevent collisions? This research area covers the development of automated functions that help the driver to avoid hazardous situations.Read More
How do people behave in traffic and how can we support them to act safer? Taking a deep approach in human behaviour, this research area is about develop scientific methods and tools to create prerequisites for safe driving.Read More
How do we best protect people in a crash? SAFER continuously develops this research area with the aim to understand and develop principles for countermeasures to prevent injuries in accidents.Read More
What actions after a traffic accident are the most efficient in reducing mortality and injury severity? This research area addresses the challenges for all road users related to what happens after a traffic accident is a fact.Read More
How do we develop the best methods for predicting and assessing real-world vehicle and traffic safety? In this research area, our main priority is to provide trust in new safety systems to enable market introduction.Read More
Cutting edge traffic safety knowledge without limits
Focus will preliminary be around how to design L3-L4 automated vehicles such that the accident risk is tolerable, and how to prove that the risk is tolerable with sufficient confidence, and how to design with explainability at all times.
This competence area spans the entire injury prevention field including fundamental biomechanics of for instance brain, neck and thorax, as well as human body modelling, child safety and unprotected road users' safety.
Field data includes the competences involved in the whole chain from collection of data, analyses (case analyses and aggregated), data storage and management to effect analyses.
By applying an interdisciplinary approach, the scope of this competence network is to understand human behaviour in traffic and develop scientific methods and tools to create prerequisites for safe driving. It is also about the interplay between humans and technical systems in different contexts; how technical systems should be designed to achieve efficient and safe interaction with the users.
Perception, sensing and communication enable technologies for a plethora of safety systems. The scope of this group is to create and share research ideas around vehicular communications, sensors systems, and signal processing.
The purpose of this competence area is to gather researchers concerned with vehicle architectures and lightweight materials suitable for future efficient vehicles with new powertrains.
Testing and evaluation concern the use and development of these tools for testing, verification and evaluation. The groups takes on a complete perspective and performes dialogues about simulators, labs, proving grounds, test models, methods, also virtual models.
Vehicle dynamics is creating a collaborative arena connecting vehicle dynamics research carried out in academia/institutes and the corresponding advanced engineering activities in the automotive industry.
Real-world traffic safety research that makes a difference
SAFER conducts world-class traffic safety research in a multi-disciplinary, collaborative approach. Since our start in 2006, we have completed more than 300 traffic safety research projects with the aim of saving lives, preventing injuries and contributing to sustainable, safe mobility. This extensive knowledge is made available for all our partners and the traffic safety research community. Read more about our projects here.
AstaZero (Active Safety Test Area Zero) is one of the most advance full-scale test environments in the world for a safe, sustainable and connected automated road traffic future. Different traffic environments make it possible to test advanced safety systems and their functions for all kinds of traffic and traffic situations – in city environments as well as on rural, multi-lane and high-speed roads. This enables a broad range of research, development and validation. AstaZero also serves as an international testing area open for stakeholders within industry, society and academia.
Read more at www.astazero.com
Revere (Resource for Vehicle Research) is a research facility with a focus on autonomous driving, active safety and vehicle dynamics. It contains a research lab with resources such as technical equipment, test vehicles (light and heavy) and supporting personnel. Located at Lindholmen Science Park in Gothenburg, Revere is created to provide a platform where industry stakeholders and the academia collaborate to enable cutting edge research and break-through innovations.
The SAFER Naturalistic Driving Data platform is a secure, world-class platform for handling data from naturalistic driving data collection. Providing state-of-the-art data management, several large datasets and a leading research competence regarding naturalistic driving data, this platform gives unique access to naturalistic data derived from 7,5 million driving kilometres. The SAFER partner researchers also have access to the in-depth crash database INTACT and IGLAD (Initative for the global harmonization of accident data).
Sim IV at the Swedish National Road and Transport Research Institute has an advanced motion platform system and permits significant linear movement along both x and y axes. It is useful when simultaneous longitudinal and lateral acceleration is important or if a wide field of vision is prioritised. Cabs and passenger compartments can be exchanged quickly. The simulator's imaging system has a camera-based calibration system, making it easy to switch between different driver positions.
All SAFER partners have access to our facilities at Lindholmen Science Park in Gothenburg. The SAFER office is a meeting place with 290 sqm working area including about 15 workplaces as well as meeting rooms, analysis rooms for confidential naturalistic driving data, conference facilities and networking areas. As an open research arena, we enable our partners to join collaborative research across the disciplines in a way that make them more competitive and able to contribute to a safer traffic environment. SAFER is also connected to other open innovation activities such as DriveSweden, CLOSER, Prehospital ICT arena and AstaZero.
Read more at www.lindholmen.se
Within human body modelling (HBM), SAFER provides a competence platform for our partners as well as a natural contact point for external cooperation. SAFER’s HBM vision encompasses a scalable, tuneable, human body model with omni-direc¬tional injury prediction capabilities, suitable for use in high-g and low-g events and as any road user, occupant or vulnerable group. This means a virtual human substitute that can be used for predicting injury outcome in any impact situation and direction of loading, able to be morphed to replicate a large proportion of the population, standing or sitting, with humanlike kinematics in crash events as well as pre-crash manoeuvres. The SAFER HBM research combines several projects, all developing the existing model towards the overall goal of performance. The research is moving towards an open-source model, to enable wider use of the tool.
SAFER's partner the road safety organisation NTF Väst offers our researchers to use a very closely located traffic training site. Stora Holm offers various test tracks and skid pad for tests and events. Here you can drive on different surfaces such as gravel, asphalt, slippery surface and in hilly terrain. The facility's off-road course is located in a naturally area at the facility. There are also possibilities to practice driving in transverse upward and downward slopes as well as in a water-filled ditch. The facility has safety hall equipped with crash scales, a collition chair and more.
Read more at storaholm.se
Traffic safety research by SAFER