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Challenge / Goal

The evolved urban structure in Mainz as well as the increasing traffic pose challenges to the city in terms of air quality. The concentrations of nitrogen dioxide immissions result in particular from emissions from road traffic (commercial vehicles, lorries, public transport buses and cars with diesel engines). To a large extent, starting and braking are responsible for increased emissions. Accordingly, a liquefaction of traffic can lead to a reduction of emission values - with the same traffic volume. This can be achieved through dynamic measures, which, however, depend on the respective urban situation. The optimisation potential is multi-layered - the conception, however, requires a data basis that does not exist to date.


Hawa Dawa's holistic solution approach integrates air quality data, considering other influencing factors, and offers data-based analyses, modelling, and dynamic forecasts. For this purpose, an intelligent infrastructure was set up for the collection of environmental and traffic data and a data platform was made available for evaluation. On this data basis, Hawa Dawa provided the Mainz public utility company with data that could be used together with the city of Mainz as a basis for "soft" measures, among other things.


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Time period

Implementation time: 1 to 2 years


Hawa Dawa

    Main benefits

  • Enhanced data collection

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