Mapping Mobility: Collaboration on AI and Digital Infrastructure using Mobile Network Data for Public Transport

Purpose and goal

The project aims to establish a long-term research and innovation collaboration between; 1) KTH Royal Institute of Technology, 2) the Swedish mobility sector represented by K2, The National Knowledge Centre for Collective Mobility, 3) Infostat, and, 4) Stanford University. The focus is on developing a methodology for using mobile network data as digital infrastructure to dynamically measure and plan public transport.

Expected effects and result

The idea is to develop a world-leading methodology for mobile network data as digital infrastructure for transport planning. GPS-based mobile network data offers nearly complete coverage of population movements, which traditional methods miss. Upon completion of the project, the following will be achieved: Identification of Opportunities and Research Direction A specified research agenda and methodology for handling and processing mobile network data in Sweden and the USA.

Planned approach and implementation

For this initial phase 1, research direction and initial projects will be defined for phase 2. In addition, an initial team with parties both at Stanford and KTH will be defined. The work that will remain, and be initiated for phase 2, is to conduct the research defined in stage 1, continuously engage with relevant stakeholders, and present results. For stage 2, it is likely to be in the form of a proof-of-concept study.