Current occupancy rate and predicted occupancy rate
In order to determine the current occupancy rate, the transmitted boarding and alighting figures are processed in the data broker after each departure from a stop. This means that they are first matched with schedule data and then checked for plausibility. This provides an actual number of passengers in a vehicle – the ideal basis for further calculations.
In order to calculate a future occupancy rate, the INIT solution uses a self-learning algorithm.
In the background system, the current occupancy rate is correlated with typical boarding and alighting behaviour at the next stop which is obtained from historical data. In this way, the number of expected drop-offs is also taken into account. In a unique, patented procedure, the occupancy rate at a specific stop is predicted with the help of AI elements – after deduction of the expected drop-offs. In this way, the INIT solution is vastly superior to conventional systems in terms of reliability.