2019/08/28 by Michael P. J. Camilleri, Camilleri, Michael P. J., Adrian Muscat +5
Computer Science · Engineering · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Green IT and Sustainability #Human Mobility and Location-Based Analysis #Information Retrieval (cs.IR) #Opportunistic and Delay-Tolerant Networks
paper · doi:10.48550/arxiv.1908.10725
openalex publication_date 2019/08/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper we describe Vjagg, 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.