Exploring the potential of artificial intelligence within public transport
Public transport systems generate vast amounts of data. This is to a large extent due to the fast development of the Internet of Things. Through artificial intelligence (AI), this data can be used – for example – to optimize routes and to increase accessibility and greater geographical coverage of public transport services. For the traveller, this may result in less time spent on travelling and greater accessibility to public transport. The operator may be able to save fuel and hence reduce emissions.
The AI and Public Transport project explores the potential and the obstacles to using AI within the Swedish public transportation system. We will for instance investigate what data sources are available and how they can be used to improve the public transportation system. Of particular interest is complete transport routes (door-to-door), which means that we also involve other modes of transport such as bicycle and car-sharing services.
Application area: Smart Transport
Partners: Malmö University and Lund University
Project period: 2019
Funding: The project is funded by Vinnova, Formas and Trafikverket through K2, Sweden’s national center for research and education on public transport.
Contact: The project is coordinated by Jan Persson, IOTAP, Malmö University.