AI industry discussions VLOG /

#006 - Building a collaborative platform for predictive movement in rural areas

September 14/45 min read
  • Björn Treje
    Björn TrejeCustomer success manager
  • Peder Ribbing
    Peder RibbingHead of expert services

We are joined by Johanna Lindberg and Christian Günther from the Predictive Movement project at Luleå Technical University, which just last week won the government innovation challenge for their solution. In putting together the project, they’ve aligned public and private interests to create a marketplace for transportation in rural areas. 

In their own words: The goal of Predictive Movement is to create a digital platform which becomes a neutral marketplace for transportation of people and goods. In the first stage the project focuses on solving the societal challenge around package delivery in rural areas. Further on the project aims to optimise the ease and availability of transport in urban as well as rural areas. Predictive Movement is a research project funded by Vinnova and the Swedish Transport Authority, among others. You can read more here

This discussion is in English.


Key takeaways from this episode

One of the greatest achievements has been to get both companies and public institutions to share their data in ways that make sense to them.

  • In general, companies want to share their data for rural areas, but not for urban areas. 
  • The Predictive Movement platform allows for this, which has meant that the project has been able to get a lot of companies to share their data.
At the heart of it, the project addresses an existing tension between sustainability and market interests.

  • It is hard for companies to be competitive while being resource efficient. 
The next step to evaluate the effectiveness of this will be to launch the platform in Ljusdal in Gävleborg this autumn.

  • This will allow for testing it in a controlled environment to make adjustments before it is rolled out on a larger scale.
Key learnings? Aligning on a vision for the project early on is key. As is getting the data on time!

  • The long wait for the data meant that the team had to work with simulated data for the first period when they were building the platform.
  • Spending a lot of time with the people involved in putting together the project at the very start would have made the process a lot easier. Then once the vision is agreed upon you need less time together.