People moving to major cities like Berlin is putting urban transport under growing pressure. To optimise transport planning, city councils and transport operators need precise data. With this in mind, eight project partners including predict.io have joined forces in the ProTrain project to optimise local public transport in Berlin-Brandenburg, using numerous data sources.
ProTrain is a three-year project funded by the German Federal Ministry of Transport and Digital Infrastructure. Passenger numbers in public transport reach new record heights each year. Rising population numbers and increasing commuter traffic, for example in the Berlin metropolitan area, have brought the capacities in regional traffic to its limits, especially during peak times. At the same time, passengers have rising expectations. They want extensive information, comfort and individual services.
The eight project partners involved in ProTrain in Berlin aim to allocate rail passengers more effectively on the basis of big data analyses in order to make optimum use of available rail transport capacity. The information is intended to enable transport operators to determine the actual as well as the expected demand in more detail so that they can respond proactively. In turn, travellers are to receive information on alternative connections or railcars with vacant seats in real time. The project team regards mobility in Berlin and Brandenburg as a useful model. The routes RE3 (Lutherstadt Wittenberg – Berlin – Stralsund/Schwendt) and RE5 (Wünsdorf –Waldstadt – Berlin – Rostock/Stralsund) are representatives, as they cover commuter links between Berlin and Brandenburg as well as tourist routes to the Baltic.