Modelling microscopic pedestrian mobility using bluetooth

Emergence of Bluetooth tracking technology for event monitoring is currently applied to extract individual pathways, movement patterns or to rank popularity of locations by their visitor quantities. The next steps are to achieve short term movement predictions, to understand people's motivations and to come up with microscopic traffic values. This work proposes a solution for these questions, namely, the combination of recorded values with a microsimulation. In our presented framework, simulated pedestrians move from one decision area to the next one in a navigation graph. The graph is automatically generated from the facility based on the inter-visibility of the exits. Intermediate areas are inserted if needed. With the data obtained from the Bluetooth scanners, individual pathways of pedestrians are determined. The routing algorithm will then use those information to adjust the pathways of the agents in the simulation. An accurate reproduction of pedestrian route choi ce in a complex facility is expected.