The Fraunhofer Institutes in Lemgo and Paderborn have developed a parking management concept as part of a Smart City implementation project. An IoT-based parking management system was developed for ASP, an in-house operation of the city of Paderborn, which was designed, planned and accompanied in its implementation by the two institutes.
The objective of the project in Paderborn:
- Reduction of parking search traffic
- Identify requirements for interfaces and standards for data platforms/ IoT systems/ parking management systems.
- Create a data base for planning resident traffic versus visitor traffic to develop new services, such as modal hubs
- First steps towards a comprehensive traffic management system in the city
The result is the introduction of an IoT system in the city of Paderborn. The area-wide sensor network combines a wide variety of sensor types and existing technologies.
However, a parking guidance system not only helps the person looking for a parking space. A parking guidance system can also reduce emissions by avoiding parking search traffic. Furthermore, an Intelligent Parking Guidance System is the first step towards intelligent traffic control.
The parking guidance system is divided into a macro and micro system. The macro system consists of eight large displays outside the city core. These show the available parking spaces at a greater distance. The micro parking guidance system is characterized by small displays. The micro navigation reduces parking search traffic and directs residents and guests. The displays were installed on existing lampposts, building walls and poles.
The new parking management system therefore not only benefits individual motorized traffic, but also reduces environmental pollution while optimizing traffic control.