AIT MOB - Mobility Observation Box

The Mobility Observation Box (MOB) makes it possible to measure the safety of transport infrastructures according to objective criteria and thus make them comparable. Once data collection is done, machine learning algorithms automatically recognize different groups of road users (pedestrians, cyclists, cars, trucks, e-scooters, etc.), detects them, evaluates their traffic behavior using surrogate safety measures and provides a basis for targeted mitigation measures. Conflict situations can be observed and evaluated objectively and for a desired period of time. The battery-operated system allows a quick and uncomplicated installation and deinstallation of the box, not requiring supplemental power source. Due to its small size, a registration of all traffic participants can be realized without distraction or influence. The collected video data is the basis of the risk-based evaluation procedure, using machine learning algorithms and artificial intelligence. Using a unique video-based surrogate safety technology, the displacements of all road users within a traffic scene can be monitored to a high degree of precision, in a repeatable and unobtrusive way. Each road user is detected, classified, and tracked. This data is then used to assess and provide metrics on road safety (such as near-collision and over-speeding incidents), as well as traffic flow conditions (such as volumes and speeds).