Eight new projects approved in the latest call

New Projects

Seamless Autonomy

Shared mobility in combination with digital technology and self-driving vehicles has the potential to reduce transport sector emissions and create new opportunities for smooth journeys. This project aims to demonstrate a complete, digitally integrated transport service on Gotland with bus, ferry, and shared taxi, as well as investigate how autonomous transport can improve accessibility and the travel experience. 

Project Manager: Adam Uhrdin, KTH

Road Hero: AI-assisted Reporting, the Communicating Driver

Road Hero aims to revolutionise reporting and traffic safety within the bus industry through an AI-driven reporting assistant. By enabling verbal reporting in the driver's native language, the project seeks to create a user-friendly solution that simplifies and streamlines incident and deviation reporting without disrupting workflow. 

Project Manager: Erik Risberg, Transportföretagen

MicroTOX

The MicroTOX project will investigate how real-time sensor technology can identify drunk driving among micromobility users, a problem exacerbated by e-scooters. By analysing movement data from intoxicated drivers, the project aims to develop algorithms that can classify impaired driving behaviour and be implemented in a system to prevent drunk driving. 

Project Manager: Marco Dozza, Chalmers

Parkyria AI: AI-Optimised Parking and Mobility Planning

Parkyria AI addresses the problem of car dependence and inefficient parking planning by using AI and machine learning to digitalise and optimise parking processes. Through predictive analysis of open data, the platform will provide municipalities and property owners with data-driven decision support for efficient resource use and sustainable mobility in line with Drive Sweden's impact goals. 

Project Manager: Adetoun Ayoade

Robust and Secure Rollout of C-ITS

This project aims to develop clear target visions, strategies, and methods to enable a safe and robust rollout of Cooperative ITS (C-ITS) in Sweden. By focusing on robustness requirements, operational reliability, and knowledge exchange between different actors, the project seeks to create effective and dependable transport solutions. 

Project Manager: Victor Jarlow, AstaZero

VELO - Measurement of Cycling Flows

Despite the central role of cycling in Sweden's transport goals, there is currently a lack of systematic monitoring, which hinders evaluation and the utilisation of its full potential. The VELO project therefore develops a nationally scalable method to analyse cycling behaviour using machine learning and mobile mast data, which will provide authorities and municipalities with a data-driven decision-making basis for optimising cycling investments and promoting increased cycling. 

Project Manager: Jonas Höglund, Lindholmen Science Park

Delivery Robots on Public Streets: A Long-Term Study of Starship's Robots in Stockholm

This project examines Sweden's first implementation of unmanned, autonomous delivery robots in Stockholm to streamline last-mile deliveries and promote digitalisation within urban transport. By studying societal adaptation and the interaction between people and robots, the research contributes to the development of sustainable transport and will inform urban planning and policy development for autonomous public robots in Sweden. 

Project Manager: Hanna Pelikan, Linköping University

Municipal Data Deliveries in the Traffic Regulations of the Future

As the transport sector becomes increasingly connected, digitalised, and automated, the digital infrastructure needs to be adapted, with machine-readable traffic regulations being an important part. This project investigates how municipalities can cost-effectively and quickly deliver data for machine-readable traffic regulations through an adapted preparation system, which reduces manual handling and keeps technical development at a reasonable level. 

Project Manager: Mattias Esbjörnsson, RISE