The identification of activity locations in continuous GPS trajectories is an essential
preliminary step in obtaining person trip data and for activity-based transportation demand …

Mobility diaries of a large number of people are needed for assessing transportation
infrastructure and spatial development planning. Acquisition of personal mobility diaries …

An important problem in the knowledge discovery of trajectories is segmentation in subparts
(subtrajectories). Existing algorithms for trajectory segmentation generally use explicit …

Trajectories, representing the movements of objects in the real world, carry significant
stop/move semantics. The detection of trajectory stops poses a critical problem in the study …

In this paper we present a time-aware, density-based clustering technique for the
identification of stay regions in trajectories of low-sampling-rate GPS points, and its …

Organising and preprocessing are crucial steps in order to perform analysis on lifelogs. This
paper presents a method for preprocessing, enriching, and segmenting lifelogs based on …

Data reflecting movements of people, such as GPS or GSM tracks, can be a source of
information about mobility behaviors and activities of people. Such information is required …

Stop and move information can be used to uncover useful semantic patterns; therefore,
annotating GPS trajectories as either stopping or moving is beneficial. However, the task of …

Partial migration is a crucial mobility pattern in animal ecology. Unlike complete migrations
that take place when all the individuals in a population migrate with a clear separation of …

Understanding travel behavior is critical for an effective urban planning as well as for
enabling various context-aware service provisions to support mobility as a service (MaaS) …