Pedestrian Guidance for Public Transport Users in Indoor Stations Using Smartphones

We propose a system for indoor navigation in public transport transfer buildings that is an element of a dynamic seamless mobility planning and travel guidance application for public transportation networks of metropolitan areas. The components of the smartphone based system include sensor fusion from camera, WiFi, GPS, Bluetooth and pressure sensor as well as inertial measurement units for Pedestrian Dead Reckoning and 2.5D navigation in arbitrary building structures. Maps of multi-level buildings are collected from escape/rescue floor maps and OpenStreetMap data to be displayed on the mobile device. Navigational aids collected from sensors provide en-route orientation. The indoor route over multiple levels, elevators, stairs and escalators is calculated by a combination of route search and grid based pathfinder algorithm. Changes of floor levels are detected by relative barometric pressure measurements.