Sthlm Digital Parking
| Reference number | |
| Coordinator | Univrses AB (publ) - Univrses |
| Funding from Vinnova | SEK 2 558 741 |
| Project duration | November 2020 - May 2023 |
| Status | Completed |
| Venture | Transport Efficiency |
| End-of-project report | 2020-02929engelska.pdf (pdf, 864 kB) |
Important results from the project
The project aims to collect parking data in a scalable and cost-effective manner, enabling the optimized utilization of existing parking spaces and aiding in the planning of new areas, including identifying the need for disabled parking and loading zones. Additionally, the consortium has investigated scalability issues, determining the number of vehicles required to collect data to achieve set goals. They have also explored how the same technology can be used to enhance the data quality in existing parking databases.
Expected long term effects
Using data to improve parking management and optimize resources allows for regulated parking timings, citizen reports on available spaces, and increased predictability. Prioritizing enforcement is done by identifying areas with frequent violations. Adjusting regulations based on occupancy during specific times, like peak hours, prevents overcrowding.
Approach and implementation
The project uses data and mapping tech to optimize parking, provide accurate availability info, and reduce parking spaces. It emphasizes research, innovation, and collaboration to boost Sweden´s smart city standing and generate economic benefits. Research includes data collection, coverage analysis, real-time parking occupancy, vehicle detection, camera positioning, triangulation, tracking, and dynamic parking area remapping. The project aims to ensure precise parking sign info and warn users of discrepancies or outdated data.