niologic created a network capable of routing based on digital, internal map data, and building data. Later this network was linked to external map data (OpenStreetMap) for public areas. Recently built areas, that were missing in the data set, were digitized within the process and made available to the customer.
Trip times were transmitted via radio and evaluated based on vehicle dispositions from the deployment data. Destinations were matched geographically with building data based on the available addresses.
After that, the distribution of travel times and speeds was created for each building. This was based on the shortest, legal direction. Therefore, we received distributions, fluctuation margins, and expectancy values for each building. For buildings with no past deployments, we used the algorithms of Premergency to carry out an interpolation for the closest buildings.
In the end, we successfully determined isochrones for service area coverage for each building and each fire station, based on the estimated travel times.
Moreover, we created statistics for response times, drive times, and many more. Thereby, we could show that drive times mostly followed a beta distribution.