User context recognition for navigation systems in public transportation

Navigation systems have become ubiquitous in today´s individual transport. They guide users to their destinations and adapt to both external traffic conditions and the user´s preferences. In contrast, public transportation systems still lack well-engineered solutions to support user navigation. Navigation features may however significantly improve comfort for public transport users. For instance, passengers may be pointed to different transportation means if delays or congestions occur on the route to destination. Offering such a service requires the system to continuously ascertain the current location of a passenger. To perform location ascertainment in an efficient and reliable manner, we propose a novel framework to establish vehicle-to-passengers communication and adequately process the thereby collected data. Using this framework, we aim to recognize the route over which a passenger is traveling and consequently determine whether a dynamic adaptation of the route itself is required or not.