niologic carried out the investigation as a simulation, as renting and delivering of the respective vehicles was ruled out as too time-consuming. The road network of the factory premises was imported into Premergency. Also, acceleration profiles of the vehicles to be examined were entered into the software. In addition, road profiles and permitted maximum speeds were stored. In the subsequent analysis step, the minimum possible trip time was calculated for each point on the factory site. Crossing and turning processes were also taken into account. Intersections with priority rules were considered accordingly.
For this purpose, the software Premergency software contains powerful algorithms for mathematical optimization and graph theory. The results of the trip time simulation were visualized as an isochrone map for each vehicle type. The maximum time savings to be expected for emergency deployments could thus be displayed clearly. To automatically optimize the fire department’s performance, trip time simulation was done by matrix-based optimization within Google TensorFlow.