Our projects

Validation of autonomous highway driving algorithm at Asta Zero

Project B-0011 within SAFER's Open Research at AstaZero Purpose and goals The purpose of the project is to test, validate and demonstrate a control algorithm for overtaking scenarios in highway driving where a self-driving vehicle (AV) needs to pass a

In The Hub

The project will generate new knowledge and new models for interaction design, as well as concrete design concepts for a set of use cases. One of the concepts will also be developed into a more production-ready prototype. The knowledge, design

MICA2

The aim of MICA2 is to address the safety of the whole overtaking manoeuvre by developing and testing novel active and passive safety systems. Insurance claims databases and crash databases will be analysed to determine the causes and mechanisms behind

AHA II

Full title: Design Ethnographic Living Labs for Future Urban Mobility – A Human Approach (AHA II). AHA II is based on a previous project, Co-Designing Future Smart Urban Mobility Services – A Human Approach (AHA), in which researchers developed a

Traction adaptive motion planning for critical situations

Project B-0005 within SAFER's Open Research at AstaZero Program. Purpose and goals The goal of this project is experimental validation of our research in algorithms for traction adaptive motion planning of automated vehicles. The traffic environment is inherently uncertain and

Safety Culture For Automation In Transport Companies

This pre-study explores the safety culture in project/companies with autonomous vehicles in operation. Safety need to be acknowledged and exercised at all levels in a company. Since automated vehicles is a new and innovative area, the blank spots need to

SAFER Cycling

SAFER Cycling: from crash avoidance to injury reduction – increased visibility and reduction of injuries by smart clothes and materials In traffic safety, the safety for bicyclist is one of the largest challenges. Bicyclists are nowadays the largest road user

EHMI

External Interaction Principles for Creating Trust in Heavy Automated Vehicles phase 1 aim to study the external interactions needed in the scenario where AV:s are introduced on public roads with mixed manual and automated traffic, in order to ensure road

BikeSAFE

The aim of the BikeSAFE project it to apply the knowledge from preBikeSAFE in order to collect naturalistic data from several bicyclists in Göteborg. Analyses of the data provided by the BikeSAFE project will address cycling safety by casting a

UnEye - Un-identification of Eye tracker video

The project aims at solving problems concerning saving information about a driver’s head- and eye movement, as well as facial expressions, without intruding on the personal integrity and without breaking the Privacy Protection Law (personuppgiftslagen, PUL). This is done by

ANNEXT - Analysis of Naturalistic External Datasets

The ANNEXT project will illustrate the power of analyzing pre-crash behaviors in external naturalistic datasets, a new source of real-life crashes and near-crashes. External naturalistic datasets contain recorded video and data showing the events and behaviors leading to a large

SafetyCube

SafetyCube stands for Safety CaUsation, Benefits and Efficiency. It is a 3-year Horizon 2020-project centered around state of the art evaluations of accident risk factors and safety measures based on accident data analysis and on in-depth understanding of causes of

DCBIN - Driver Comfort Boundaries in Intersection Negotiation

The fundamental aim of DCBIN is to obtain and apply naturalistic, on-road and test track data to define the comfort zone boundaries for drivers passing through intersections at times when LTAP encroachment might occur. By observing invariant driver behavior and

VHM - Volvo Human Monitoring

Monitoring human mental status during driving will give valuable input to future safety system development. Today this is an unexplored area that requires a multidisciplinary approach. The focus and goal of this project is to, within the SAFER environment, investigate

DaCoTA - Road Safety Data Collection, Transfer and Analysis

DaCoTA is a project which will develop and implement new approaches to gather, structure and apply policy-related safety data. The data will be incorporated within the European Road Safety Observatory which has a vision that it should become an institutional

SeMiFOT 2 - Sweden-Michigan Naturalistic Field Operational Test

This project aims at developing the field operational test (FOT) naturalistic driving study (NDS) analysis through international collaboration in two separate sub-projects (SeMiFOT2 and DREAMi). SeMiFOT2 will provide additional analysis and methods development, over and above the original SeMiFOT Phase

Contact information

SAFER

Newsletter