Predictive Movement

Predictive Movement aims to establish a digital platform with business models and a set of actors for coordinated parcel, letter and passenger transport.

The project's solution is developed primarily for Sweden's sparsely populated and rural areas and will be tested in four pilot municipalities: Pajala, Arjeplog, Ljusdal and Västervik.

The background to the project is that the transport sector is facing major challenges in urban and sparsely populated areas with accessibility, due to increasing congestion and declining data. In addition, there are problems regarding climate, local environment, health, justice, financing and an approaching upheaval with the uncertain effect of shared, electrified and autonomous vehicles. But digital platforms and new business models for infrastructure have the potential to deal with these complex challenges.

Predictive Movement will develop a new digital open source platform that will serve as a common transaction space for all local transport and a digital marketplace for passenger and freight transport. The goal is for residents and companies in the pilot municipalities to experience improved package deliveries and passenger transport.

The project will work to coordinate transport so as to create increased efficiency and a more environmentally friendly, climate-adapted transport sector. There is great and untapped potential to work to make use of available capacity and this in turn can also lead to, among other things, smaller queues on the roads, improved service and increased convenience.

PROJECT:
January 2020 - December 2021

Participants in the project are LTU researchers from Machine Learning, Information Systems and Signal Processing. The partnership includes Iteam Solutions, A Beautiful Soup, Argomento GIS & IT Business Development, Sweden's Package Ombud and Urbancity. In addition, Region Norrbotten, Arjeplog, Pajala, Ljusdals- and Västervik municipalities, as well as the county boards in Norrbotten-, Västerbotten- Dalarnas and Kalmar counties, participate.