Our projects

Car Passenger Protection – To the Next Level

CAR PASSENGER PROTECTION – To the Next Level / Passenger Safety, part 2 Car passenger protection is complex due to the diverse population and increased car automation and shared mobility, e.g. with new seat positions, seating configurations and car usage.

GLAD

GLAD - Goods delivery under the Last-mile with Autonomous Driving vehicles Small autonomous electric delivery vehicles (ADV) are expected to transform transportation of goods in the last and first mile. The advantages are increased transportation and energy effectiveness, but it

Multimodal Data for Road User Behavior Analysis to Support Safe Driving Patterns

Human-operated vehicles with Advanced Driver-Assistance Systems (or ADAS) are projected to prevent human-failures at the wheels. To support this purpose, driver state is estimated using both internal factors such as fatigue, inattention and drowsiness levels, as well as external roadway

HiDRIVE

Hi-Drive will test and demonstrate High automation driving by taking intelligent vehicles technology to conditions neither extensively tested nor demonstrated earlier in European and overseas traffic. We will test and show the functionality of High automation in variable conditions and

STRADA – Indepth study

The project will conduct a pilot study to investigate how data in STRADA (Swedish Traffic Accident Data Acquisition) and Trafikverkets Dödsolycksdatabas can be used to develop a national in-depth database for traffic accidents. The plan is for the in-depth studies

Vulnerable Road Users - E-scooter ”target”

The aim of the project is to develop a test object which can be used in development testing. Primary task is to investigate relevant scenarios for Electrical Scooters based on existing Euro NCAP VRU Scenarios and to answer the question

RoDL - Road Data Lab

Support open innovation around roads by making data sets accessible and by providing an infrastructure to promote open innovation and open data collaborations

SALIENCE4CAV

Safety lifecycle enabling continuous deployment for connected automated vehicles (SALIENCE4CAV) is a continuation of FUSE (Functional Safety and Evolvable architectures for autonomy) and ESPLANADE (Efficient and Safe Product Lines of Architectures eNabling Autonomous DrivE). The focus of the projects has

EFRAME - Analysis Framework for Safety Systems and Services

Modern commercial vehicles are equipped with a range of passive and active safety systems with a strong potential to increase traffic safety and reduce safety-related costs, both from a societal and a transport operator perspective. In addition, safety management services

Developing methods for calculating key performance indicators for safe driving based on data mining on large naturalistic data

In this project, we aim to: explore the use of data mining and possibly other methods to find driving pattern(s) that can be used for the calculation of safety KPIs; investigate the relationship between driving patterns and general driver characteristics

EuroFOT - European Field Operational Test on Active Safety Systems

Supported by the European Commission 7th Framework Programme of Information Society Technologies, the euroFOT integrated project has officially been launched in May 2008. Led by Ford, the project involves 28 partners, including major European vehicle manufacturers as well as leading

UDRIVE - eUropean naturalistic Driving and Riding for Infrastructure & Vehicle safety and Environment

Road transport is indispensable for the exchange of goods and persons, but at the same time has severe negative consequences, among others related to road safety and environment. In order to meet EU targets, both the number of road crashes

FICA 2 - Factors Influencing the Causation of Accidents and Incidents

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

Global Inattention Taxonomy Definition

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

Field Data Analysis Platform

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

Sweden Michigan Naturalistic Field Operational Test (SeMiFOT)

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

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