Project portfolio

Research area (field_research_area)
 

REALLOCATE - Rethinking how we move

REALLOCATE transforms streets into inclusive, green, safe and future-proof urban spaces, where communities live and thrive. The project enables researchers, mobility experts, urban planners and local citizens to collectively
 

I2CONNECT

Full title: Intelligent, interactive and connected next generation real time driver assistance system With respect to the project outcomes, we design smart ADAS with gender equality in mind to improve safety for all. User
 

HBM SHOULDER

Full title: Advanced Tool for the Development and Evaluation of Protection Systems for Bicyclists. The project purpose is to improve methods for evaluation and development of protection for cyclists and other road users
 

SCREENS II

Full title: Safe chauffeurs in safe and healthy multimodal driver information environments The Screens II project aims to improve traffic safety by addressing the challenges posed by increased automation in the driver’s
 

VIASAFETY

Full title: Road Traffic Safety for Electric Micro Vehicles The VIASAFETY project will study how traffic safety in connection with the use of small vehicles, for example electric scooters, various types of cargo bikes
 

MegaBITS

Full title: Mobilizing Europe’s Green Ambition through Bicycles and Intelligent Transport Systems The MegaBITS project is a continuation of the very successful BITS project. In MegaBITS, ITS solutions for increased and safe
 

QUADRIS

Full title: Improved quantitative driver behavior models and safety assessment methods for ADAS and AD For efficient development of advanced driver support systems and self-driving cars, it is necessary to be able to assess
 

V4Safety

Full title: Vehicles and VRU Virtual eValuation of Road Safety In order to set policies for road safety in the coming decades and push for Vision Zero, an accepted and reliable method for the comparison of safety measures for
 

SUperSAFE

Full title: SUrrogate measures for SAFE autonomous and connected mobility SUperSAFE ‘SUrrogate measures for SAFE autonomous and connected mobility’ will address the problem of the safety evaluation of the interaction between
 

IGLAD Phase 5

IGLAD is an I nitiative for the Gl obal Harmonization of (in-depth) A ccident D ata that was initiated by Daimler AG, ACEA and different research institutes and announced as a working group at the FIA Mobility Group in
 

ROADVIEW

Fill title: Robust Automated Driving in Extreme Weather ROADVIEW is an EU-funded Horizon Europe Innovation Action aiming to develop robust and cost-efficient in-vehicle perception and decision-making systems for connected and
 

Enhanced ADAS II

Advanced Driver Assistance Systems (ADAS) is developed to make it safer, more efficient and comfortable to travel by car. For ADAS to work well, it is important that the systems are developed from a driver perspective, which
 

AfroSAFE

Safe System for radical improvement of road safety in low- and middle-income African countries The Problem Despite accommodating only 4% of the global motor vehicle fleet, African roads witness more than 10% of the world’s
 

FAME

The Framework for coordination of Automated Mobility in Europe (FAME) aims to establish a European framework for testing on public roads, enable evaluations with common methodology, engage an active community of stakeholders
 

SUNRISE

Safety assUraNce fRamework for connected, automated mobIlity SystEms (SUNRISE) aims to pave the way for safe large-scale deployment of automated vehicles on European public roads. The scope is to define, implement and
 

STREnGTH_M

Stimulating road Transport Research in Europe and around the Globe for sustainable Mobility The STREnGth_M consortium will contribute significantly to the planning of research and innovation in Europe by identifying future
 

ASSERTED

Assuring Safety for Rapid and Continuous Deployment for Autonomous Driving (ASSERTED) The researchers will look into how safety argumentation of an AD system can be systematically and verifiably modelled for continuous
 

Motorcycle rider model for injury prediction

Motorcyclists are one of the most vulnerable road user groups around the world; approximately 375,000 cyclists die riding motorized two and three-wheelers annually. The number of people riding motorcycles is growing worldwide
 

Hi-Drive

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