Geo-analysis of police accident data helps Poznań create maps and reports to support mobility safety planning and informed decision-making in the city.

This good practice came about to establish evidence for increasing bike lane capacity within the city. The width of the main bike lanes is based on the usage.

All off-street parking has a counting system. All on-street parking is counted by a scan car. The data is used to collect information about the usage.

The city of Lviv has created micro and macro models of emissions from public and private transport in the city.

Definition of legal and technical framework involving public and private transport operators, key stakeholders towards the creation of Regional MaaS integrator

GP provides local authorities with access to the regional O/D matrix, enabling detailed local studies to develop integrated planning (SUMP & Regional Plan).

The GP proposes an improved method for updating the Origin/Destination matrices of the regional transport model simulator using mobile Big Data.

The city of Lviv processes and visualizes public transport real time data to define areas that need improvement and verify efficiency of measures implemented.

Collection and easily accessible dissemination of a Poznan spatial data on interactive 3D city model developed since 2018 supporting sustainable urban mobility

Badam means "I research" and is an open up city datasets, presenting in attractive form development of Poznań in various areas of the city's functioning.

The tool helps make investment decisions, confirms economic, traffic and environmental efficiency for new transportation investments.

Since 2020, the Region of Central Macedonia applies big data fusion techniques for dynamic traffic management in Thessaloniki.