New applications for GPS trajectories in advanced location-based services

PhD defence, Tuesday 10 December 2013. Vaida Ceikuté.

2013.12.10 | Betina Stephanie Juul

Vaida Ceikuté

The use of GPS-enabled devices has increased greatly during the last few years, leading to the availability of increasing volumes of trajectory data that represent movements of smart-phone users and various objects such as animals and vehicles.

During her PhD studies, Vaida Ceikuté researched the use of such trajectory data in advanced location-based services, including (i) the discovery of groups of objects that travel together in both offline and online settings, (ii) scalable solutions to a modern version of the optimal facility location problem where actual customer trajectory data is exploited, (iii) a study of the potential of local-driver trajectories for improving vehicle routing services, and (iv) an evaluation of a vehicle routing service that uses such trajectory data. Her new research findings and proposals contribute to the understanding of how and where the use of GPS data can be beneficial in location-based services.

The PhD degree was completed at the Department of Computer Science, Science and Technology, Aarhus University.

Time: Tuesday 10 December 2013 at 13.15
Place: Building 5342, room 333 (ADA), Department of Computer Science, Aarhus University
Title of dissertation: Inferring Groups of Objects, Preferred Routes, and Facility Locations from Trajectories
Contact information: Vaida Ceikute, ceikute@cs.au.dk
Members of the assessment committee:
Professor Mario Nascimento, Department of Computing Science, University of Alberta, Canada
Professor Christian Freksa, Cognitive Systems, FB3 – Informatics, University of Bremen, Germany
Professor Susanne Bødker (chair), Department of Computer Science, Aarhus University
Main supervisor:
Professor Christian S. Jensen, Department of Computer Science, Aarhus University
Language: The dissertation will be defended in English

The defence is public.
The dissertation is available for reading at the Graduate School of Science and Technology/GSST, Ny Munkegade 120, building 1521, room 112, 8000 Aarhus C.

PhD defence
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Revised 14.12.2017