Traffic and Parking Detection

Traffic and Parking Detection

In summer 2018 the project Smarter Together published a second innovation tender call (“open call). The two focus areas were “Traffic counting” and  “Parking management”.

In fall 2018 a city jury chose for two winner teams in the area of “traffic counting”:

  • Eluminocity
  • ParkHere in cooperation with Swarco

The city jury also chose for two winner team in the area of the “parking management”:

  • Eluminocity
  • Cleverciti in cooperation with Axians and Cisco

The preparation work with the winning teams started in October 2018. The installation of the sensor solutions on the intelligent lampposts in Limesst. and Bodenseestr. is scheduled for the first quarter 2019.

The installations in Limesstr. cover traffic counting solutions (cars, trucks, motorcycles, bikes, pedestrians) as well as parking management solutions.

In Bodenseestr. only traffic counting sensors will be installed.

Both topics will be installed to test the technologies as well as potential additional installation areas in the city of Munich. The monitoring and evaluation phase will take 2 years.

The chosen sensor technologies do not allow to detect any privacy related information. Traffic counting is based on innovative radar technology. Parking detection is based on optical sensors that only allow to detect positions of objects in the defined parking areas. The used sensors are not able to generate any photos or videos. A detection of car licence tags or any other individual personal characteristics is technically not possible.

Type of Data

The Eluminocity radar sensors are constantly measuring so called radar events of self moving objects, for example a passing vehicle. The following three measurements are assigned to each of these events:

  • Time of the radar event
  • Speed of the object
  • Duration of the recording

These raw data are getting saved, pre-evaluated and send to the eluminocity database by an microcontroller which is integrated in the sensor. After the data transfer, they are provided by an interface of the Smart-Data-Platform, belonging to the Smarter-Together-Project.


The eluminocity video sensors are constantly measuring state changes inside their detection area. Using a lot of algorithms, the raw data detected by optical sensors are getting saved, pre-evaluated by the same microcontroller as installed in the radar sensors. The result are geo-position-data of objects inside the defined pitch space. Only these, and no image data, are getting analysed and forwarded.

Data Classification and Privacy

Traffic flow data:

It’s not possible to raise any personally identifiable data with the use of this radar technology.


Parking detection data:

No personal identifiable data at all is forwarded by the sensors to backendsystems or the smart data platform.

What happens with the data?

The measurements are saved in the Smart-Data-Platform and will be used for intern analysis purposes by graphic depiction. Current and historical measurements are provided by a clear city map in the munich SmartCity App.