In the ALMODA project, funded by the Federal Ministry for Digital and Transport Affairs, we developed a cross-border data space for secure real-time communication, navigation and surveillance data (CNS) using artificial intelligence. The objective is to implement innovative use cases for automated mobility in the Inn valley.

One of these use cases was demonstrated last weekend together with the Kiefersfelden fire department and other partners: The rapid search for sources of fire by drone. As this may also involve flying over highly frequented traffic routes such as freeways or railroad tracks, it must be ensured that the low-flying camera drone does not collide with other ground-based traffic users during operation.

To this end, IoW monitored rail traffic on the Inn valley line with an innovative rail traffic sensor system, which was installed several meters away from the track on a site in the partner municipality of Oberaudorf. Every train passing there was classified by an AI in terms of speed, length and direction of travel and reported by radio to the ALMODA data platform, from where, among other things, a traffic light was controlled for the drone pilot of the Kiefersfelden fire department, which warned the drone pilot of every passing train.