Nowadays we make great efforts to make our cities more livable, and making our public transportation systems more attractive plays an important role in that. One way to achieve this goal is to apply information and communication technology solutions to improve the user experience. In my thesis I attempt to do exactly that by creating a mobile application that helps the user navigate the network by showing timetables and planning journeys.
In my thesis I show how I created an offline schedule database which is ideal for usage on mobile phones due to its format and extremely reduced size. I present the problem of journey planning on public transportation networks and implement an offline route planner engine. Following that I give a brief overview of the FUTÁR system which provides real time passenger information in Budapest, and present how I used data from this application to create a traffic dependent real time prediction system. Then I create a Windows Phone application that handles both online and offline timetable data and is capable of planning journeys.