Traffic and Air Quality: Understanding Correlations in Detail
Hawa Dawa adds the interactive analysis tool ‘traffic reports’ to the premium dashboards Plus and Pro. This provides city and traffic planners with detailed information on the correlation of traffic volume, fleet composition and vehicle speed with the measured pollutants.
Every day, urban and traffic planners are concerned with the optimal design of traffic systems. They try to reconcile the varying requirements for economic efficiency, performance, safety and resource conservation in the best possible way. In times of growing traffic volumes, climate crisis and the first driving restrictions, the environmental aspects of planning are increasingly seldom accepted as a consequence of planning, but they are often the focus of optimisation interest right from the start of the measure. Hawa Dawa, from now on, supports such environmentally sensitive plannings and clean air planning with a new tool.
The feature ‘traffic reports’ allows the interactive correlation of traffic and air quality data at specific points or on specific relations of the traffic network. The user can configure the report directly in the dashboard by setting parameters for the time, the location, and the analysis intervals. The correlated traffic data can also be determined in detail; thus, for example, certain turning relationships, vehicle types or lanes can be considered in isolation. In this way, the user can obtain more in-depth insights into the connection between traffic and air pollutants at any time and entirely according to his or her requirements.
Frank Felten, Chief Product Officer, explains: “The ‘traffic reports’ are another step of Hawa Dawa to apply state-of-the-art technologies to provide user-relevant information. This new feature has been developed in close cooperation with our customers.”
The feature ‘traffic report’ is now part of all Hawa Dawa Plus and Pro dashboards. The configured analyses are available as a graphic and also as a download of the measured and counted values. The download is particularly suitable if the data is to be further used in the context of common traffic planning and simulation tools (e.g. PTV, Aimsun, Sumo etc.).
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