VJAGG -- A Thick-Client Smart-Phone Journey Detection Algorithm
This work addresses privacy and battery efficiency in mobility data collection for transport service providers and users, though it appears incremental in its technical approach.
The paper tackles the problem of detecting complete journeys on mobile devices while optimizing battery consumption, achieving over 88% accuracy in journey detection and enabling full-day operation without recharging.
In this paper we describe $Vja\dot{g}\dot{g}$, a battery-aware journey detection algorithm that executes on the mobile device. The algorithm can be embedded in the client app of the transport service provider or in a general purpose mobility data collector. The thick client setup allows the customer/participant to select which journeys are transferred to the server, keeping customers in control of their personal data and encouraging user uptake. The algorithm is tested in the field and optimised for both accuracy in registering complete journeys and battery power consumption. Typically the algorithm can run for a full day without the need of recharging and more than 88% of journeys are correctly detected from origin to destination, whilst 12% would be missing part of the journey.