Automated and networked city buses – Optimized, demand-oriented service through intelligent use of data

Developments in the sector of trucks and buses are influenced by the rising availability of various kinds of data. In order to be effective, on the one hand this fact will be assessed in terms of the impact on the operation. On the other hand, the automation of vehicles will be enabled by the application of big data analytics and artificial intelligence (AI). In general, the availability of large amounts of data generated by automated and networked city buses in service will influence several areas of public bus transportation. Interactions with motorists and cyclists, constricted traffic space due to road works or dense crowding at bus stops are just a few examples of the daily challenges during the operation of city buses in urban areas. In addition, the potential of new data driven technologies will influence the daily operation and maintenance of the buses, which will be shown on the example of automated doors and HVAC control.