Given the growing importance of public transport and shared services of micromobility over individual transport and the general shift towards more sustainable modes of transport, the thesis aims to fill an existing gap in the Slovenian market, which is a major inconvenience for potential users - the lack of efficient ``door-to-door'' journey planning, dynamic information on bus and train delays and easy ticket purchase.
In this thesis, we have developed an integrated system that combines delay prediction and journey planning. The system is based on state-of-the-art approaches and technologies such as the Kalman filter for delay prediction and the RAPTOR algorithm for route planning. We have deployed TheTransitClock and OpenTripPlanner servers, which allow real-time forecasting of vehicle arrivals and route planning. In addition, we have developed a user application and a backend API that allow users to easily plan routes and monitor arrivals.
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