Drive Sweden consists of over 140 partners, from all sectors who work together to create smart and sustainable transport solutions for both people and goods. Through Drive Sweden, whose unique collaborative model connects large and small players, as well as public and private organizations, the work is gaining momentum and the new additions of projects show the participants' high level of ambition.
The new initiatives will, among other things, develop new technology and solutions for on demand-controlled public transport, better traffic flows using AI and a more sustainable transport system.
"Through the new projects we build on technology and knowledge that we have worked on and also break new ground in several sectors," says Sofie Vennersten, program director for Drive Sweden. "I think it is especially fun that we are now increasing our focus on rural transport as well as exciting tools for the future traffic management of road transport."
The new projects add to the extensive project portfolio that is already underway within Drive Sweden. Since the program started in 2016, the number of partners has increased sevenfold.
"The commitment that exists within Drive Sweden is unique and these projects show how collaboration between business, academia, society and, not least, end-users, allows Sweden to remain at the forefront in the area of mobility," concludes Sofie Vennersten.
Here are the new projects:
Smart Rural Transport Services
The project addresses future transport systems for sparsely populated areas in the form of transport services operated by autonomous, electric and on demand-controlled vehicles and drones.
Countryside selfdriving vehicles - possibilities and challenges
The purpose of the project is to investigate the conditions under which self-driving vehicles can offer more attractive public transport in the countryside and thus contribute to a transition to a sustainable transport system.
DELTA – mobility on demand and ridesharing
DELTA is a pilot for on demand-controlled public transport with smaller vehicles aimed at studying and changing people's behavioral patterns around shared vehicles.
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 optimization that includes pedestrians and cyclists and not just motor vehicles.
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.
Electric self-driving vehicles in the future decarbonised transport system
The purpose of the project is to create an increased understanding of how electrically divided self-driving vehicles can affect and supplement public transport, but also how the transport system is broadly affected from a sustainability perspective.
Stockholm Virtual City
The project aims, with the help of cameras on a fleet of taxis, to collect information that can be compiled into a digital copy of the city.