Case study: the Digital City of Darmstadt

Sensor 600

The digital city of Darmstadt is a pioneer in using new technologies to make everyday life easier for people in the city.

Darmstadt, central open urban data platform

challenge / opportunity

Darmstadt is looking to become a leading smart city. This is being implemented using a strategic approach including an introductory phase with the integration of five applications into an open urban data platform - [ui!] UrbanPulse.

[ui!] are developing Europe's largest urban data platform, together with ekom21 and DA-RZ, for the City of Darmstadt. The new central data platform will be used to collect, process, analyse and visualise different types of data such as measurements from the environmental sensor network, and data from mobility, including public transport.


Collection, evaluation, visualisation and use of anonymised urban data to create added value for the residents of Darmstadt. The City of Darmstadt retains ownership of the data and can decide for itself which data is processed and to whom it is passed on to and for what purpose. In this way, raw data from the urban infrastructure is turned into intelligent information that is made available as innovative digital services for residents and/or organisations in the city, as well as for the city itself.

[ui!] solution

[ui!] UrbanPulse (open urban data platform)

Darmstadt, Traffic management

challenge / opportunity

The digital City of Darmstadt has relied on a modern and real-time traffic control system for a few years. Nevertheless, action was needed due to the high level of air pollution that exceeds the annual limit value for NO2, and CO2. The aim was to reduce traffic and emissions from transport.


Collection, evaluation, visualisation and use of anonymised urban data to create added value for the residents of the digital city of Darmstadt. This includes the improvement of air quality, the creation of optimal planning bases for future traffic control, and interaction with the residents through transparent and visualised city data.

In the pilot phase, [ui!] ECOMAT was tested in Darmstadt with the support of [ui!] UrbanPulse as the data platform. Data from the city's traffic management system was transferred to the central data platform. From here it was analysed and extrapolated to help reduce the number of stops traffic makes due to red lights. For this purpose, a smartphone with the [ui!] ECOMAT app was used, which displays each lane of the upcoming traffic light crossing with an arrow. The colour of the arrow indicates whether the current speed of the vehicle will allow the driver to continue without stopping or cause the driver to encounter a red light. Idle cars stuck in traffic jams and at traffic lights are a big factor for local air pollution levels. Keeping the traffic moving helps to lower the local air pollution rates. If the current speed leads to a stop, the app tries to give a suitable speed recommendation. If the vehicle comes to a stop, additional information is displayed, such as the countdown display or the number of seconds when the signal will change colour from red to green.

[ui!] solution

[ui!] UrbanPulse (open urban data platform),

ECOMAT (traffic light phase prediction for personal green wave),

[ui!] ENVIRONMENT (environmental sensors)

Participating companies of the [ui!] Group:

[ui!] Urban Software Institute

[ui!] Urban Lighting Innovations

[ui!] Urban Mobility Innovations

Brief2 This email address is being protected from spambots. You need JavaScript enabled to view it.