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.. It also has problems with 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 the complex challenges.
Predictive Movement will therefore 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.
Karl Andersson, Associate Professor and Executive Director at CDT at Luleå University of Technology says:
- We 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 for utilization of available capacity and this in turn can also lead to, among other things, smaller queues on the roads, improved service and increased convenience.
Researchers from Machine Learning and Signal Processing will participate in the project. The partnership includes Iteam Solutions (coordinator), A Beautiful Soup, Argomento GIS & IT Business Development, Sweden's Package Ombud and Urbancity. In addition, the Norrbotten Region, Arjeplog, Pajala, Ljusdal and Västervik municipalities participate as well as the county administrative boards in Norrbotten, Västerbotten, Dalarnas and Kalmar counties.