Traffic system analysis and planning is a very complex process that requires quality input data collected on a relevant sample and over a relevant time period. The project Sustainable Urban Mobility Boost Smart Toolbox aims at development of the methodology (toolbox) in data rich reality, which is combining traditional and novel data science approach for transport system analysis and planning. It enables digital transformation of existing (traditional, ingrained) analytic methodologies by novel utilization of mobile network infrastructure as urban mobility data sources (spatio-temporal data on population migrations gathered from anonymized mobile network logs) and data science capabilities. The project is funded by the EIT Urban Mobility Regional Innovation Scheme RIS 2020.
The end product will provide transport planners with insight in spatial distribution of commuters and their transport means. Also, it will propose methodology for the identification and implementation of the measures for improvement of the transport system based on input data. Primary goal of the Project is to provide universal methodology suitable for any city to
create sustainable transport system.