Mobility Data Mining for Rural and Urban Map-Matching
Name
Margus Haavala
Abstract
The functionality of gathering spatio-temporal data has seen increasing usage in various applications and devices. The Global Positioning System (GPS) is a satellite navigation system which is mostly used for gathering location information. Map-matching is the procedure of matching trajectories from a sequence of raw GPS data points to the appropriate road networks. GPS data errors are one of the biggest problems and correcting them is a big challenge. The main goal of this thesis work is to build a data pipeline and visualization framework for turning raw GPS data to trajectories and correcting erroneous GPS points by new map-matching approach. For achieving the goal a new approach for trajectory pattern mining is introduced.
Graduation Thesis language
English
Graduation Thesis type
Master - Software Engineering
Supervisor(s)
Amnir Hadachi
Defence year
2016