- RIS HUB
- 01 January 2021
- 12 months
- University of Zagreb Faculty of Transport And Traffic Sciences
- € 193 400
SUMBooST2 develops universally applicable data science methodology which extracts key urban mobility parameters and origin/destination matrix from the anonymised big data set gathered from telecom operator.
The algorithms which separate relevant mobility data from the overall dataset are the unique part of the toolbox. The algorithms to identify passenger car trips are developed in 2020 project SUMBooST, and they are being upgraded in the 2021 to detect trips made by active mobility modes and public transport.
SUMBooST2 is a follow up of SUMBooST 2020 project where the methodology of the toolbox was based on the identification of passenger car trips only. The project plans to further improve the methodology and will mainly be focused on identifying sustainable transport modes and their strengthening, but personal car trips will also be analyzed as an additional validation of the first version of toolbox.
For the methodology to be valid, it must be implemented in representative number of cities. SUMBooST included implementation and validation in the City of Rijeka, and SUMBooST2 continues with two other cities, Zagreb and Dubrovnik.
Innovative methodology (toolbox) is based on big data science further enhanced and validated through traditional traffic research. The most creative and innovative part is the extraction of the mobility parameters from the big data set gathered from telecom operators.