AlgoTransit: Algorithms for sustainable and efficient public transport

Project summary

The goal is to create a more attractive, cost-effective and sustainable transport system in order to achieve Sweden's transport policy sustainability goals according to Agenda 2030. The project is expected to benefit both existing and potential public transport users as well as society as a whole by more people choosing public transport, public costs are reduced and through increased accessibility which contributes to economic development.

The main applicant for the project is KTH (Kungliga Tekniska Högskolan), which is responsible for leading and carrying out the research work. Other participating parties include Nobina Sverige AB and Trafikförvaltningen i Region Stockholm.

The project runs for two years, which enables a continuous and incremental development of the algorithm and the process to propose concrete improvements to the public transport networks. A doctoral student has been employed to continue the work and make it practically useful. The project also plans to explore the possibilities of commercialization of the research results to ensure long-term usefulness.

The project's scope and potential to make public transport more efficient and reduce carbon dioxide emissions make it a significant investment to promote sustainability and improve travelers' experience of public transport.

Funding

Swedish Governmental Agency for Innovation Systems (Vinnova) (grant no. 2023-01224)

Duration

15 September 2023 -- 31 December 2025

Project team

KTH Division of Transport Planning
Erik Jenelius
Efrat Aviad
Zhenliang Ma

Region Stockholm Public Transport Administration
Erik Almlöf
Mikael Eriksson

Nobina Sverige
Andreas Persson
Anna Nordström