BASt Parking project

Empowering Cities through Parking Data

WHY is it important?
How can we alleviate urban traffic congestion? The project aims to collect and make accessible parking information from various sources such as parking guidance systems, parking meters, sensors, and barrier systems. This will help to reduce the traffic caused by searching for parking and make more efficient use of available parking spaces. 
As part of the project for the Federal Highway Research Institute (BASt), an ITS reference architecture for parking was developed, taking into account various framework conditions and involving the stakeholders. Specifically, challenges and requirements for parking space management were examined. 
HOW does it work?
The project was carried out in two pilot areas, each with different thematic focuses. In collaboration with the city of Stuttgart and PBW mbH, two municipal parking guidance strategies for off-street parking were developed and implemented as demonstrators.

In Munich, on the other hand, the static data of parking availability and the dynamic data of parking occupancy (on-street) were consolidated, georeferenced, and presented in an interactive map application.
WHAT do we do?
The insights gained were integrated into the further development and standardization of a comprehensive data profile for on- and off-street parking occupancy (DATEX II), considering existing national frameworks and reference architectures from the Road action plan, and tested in both pilot areas. The profile is used for the harmonized transmission of parking data to the Mobilithek.
The project was successfully completed in early 2022, and the demonstrator application was implemented as a web-based solution. With the data model and reference architecture created in the project, municipalities can now provide standardized parking data on the Mobilithek. This serves as a basis for developing services aimed at reducing search traffic and making parking space utilization more efficient.
BASt- Bundesanstalt für Straßenwesen
Fraunhofer IML, AlbrechtConsult GmbH, PBW GmbH, LH München