Traffic safety
A large number of people are injured and killed every year in road transport. Despite the fact that Sweden has a zero vision for the number of dead and seriously injured in traffic, there are still far too many who die each year. Drive Sweden believes the introduction of automated driving should take place in such a way that risks of accidents are reduced compared to today. Several of our projects investigate how this can be done, or how other types of digital technology and shared data can be used to increase traffic safety. Can accidents even be predicted, and thus be avoided, by vehicles in the future?
Projects about traffic safety
ZeZo Score – the future tool for safer urban mobility
VIA-Taxi is a triple helix innovation project focusing on improving traffic safety through new cloud-based digital technology. Data collection, analysis, quality assurance, and proactive traffic...
Road Traffic Safety for Electric Microvehicles (VIASAFETY)
The project will study how traffic safety in connection with the use of small vehicles, for example electric scooters, various types of cargo bikes, bicycles, electric mopeds, at low speed on the road...
New technology for evaluating the security effects of new infrastructure
This project is expected to help the City of Helsingborg and RISE understand how they can use data and new technologies to increase safety on Helsingborg's roads and make better infrastructure...
Voluntary industry agreement for the bus industry on geofencing
Can a shared and stated vision over technology change the industry standard for road safety and speed enforcement?
AI AWARE Scale Up
The aim of the project is to create a safer traffic environment by reading, understanding and predicting events in a traffic system. The project builds on and scales up the results of the Drive Sweden...
AI Enhanced Mobility
AI Enhanced Mobility aimed to build knowledge, experience and new collaborations within AI application for sustainable mobility systems. The project was a catalyst for applying AI in the field of...
Intelligent and self-learning traffic control with 3D & AI
The project aims to show how new types of sensors and traffic management models, combined with AI, can contribute to improved accessibility and safety in signal controlled intersections. An...
CeViSS - Cloud enhanced cooperative traffic safety using vehicle sensor data
The project will study how sensors on connected vehicles can contribute to a better picture of the current traffic situation, in order to provide better conditions for a qualitative traffic control.
Events about traffic safety
Lunch & Learn: The annual report from Trafikanalys on accessibility, traffic safety, health, and emissions
Every year, Trafikanalys monitors the transport policy goals regarding economically efficient and...
Secure Small Vehicles
Som en uppföljning till höstens introduktionsmöten för er som jobbar i projekt bjuder vi nu in till...
AI Enhanced Mobility final conference
During the final conference of the AI Enhanced Mobility project we shared the results of the...
AI AWARE Scale Up final conference
How can data be used to fuel accident risk estimation algorithms? Can digital safe speed...
AI AWARE - Deep dive and After Work with industry colleagues
What if we could live in a world without accidents? What if we can predict and preemptively avoid an...
Contact
Drive Sweden collaborates with SAFER.
Magnus Granström
