In movement data analysis, there exists a problem of comparing multiple trajectories of moving objects to common or distinct reference trajectories. We introduce a general conceptual framework for comparative analysis of trajectories and an analytical procedure, which consists of (1) finding corresponding points in pairs of trajectories, (2) computation of pairwise difference measures, and (3) interactive visual analysis of the distributions of the differences with respect to space, time, set of moving objects, trajectory structures, and spatio-temporal context. We propose a combination of visualisation, interaction, and data transformation techniques supporting the analysis and demonstrate the use of our approach for solving a challenging ...
Clustering of trajectories of moving objects by similarity is an important technique in movement ana...
Maximilian Konzack, Tim Ophelders, Michel A. Westenberg and Kevin Buchin are supported by the Nether...
Trajectories between the same origin and destination (OD) offer valuable information for us to bette...
In movement data analysis, there exists a problem of comparing multiple trajectories of moving objec...
In movement data analysis, there exists a problem of comparing multiple trajectories of moving objec...
Clustering of trajectories of moving objects by similarity is an important technique in movement ana...
Over the past few years a series of computational and semantic frameworks have been developed to mod...
Computing trajectory similarity is a fundamental operation in movement analytics, required in search...
Movement of point objects are highly sensitive to the underlying situations and conditions during th...
This paper introduces a similarity analysis method for moving object trajectories. The proposed meth...
In air traffic management and control, movement data describing actual and planned flights are used ...
Spatial movement data nowadays is becoming ubiquitously available, including data of animals, vehicl...
We propose a segmentation and feature extraction method for trajectories of moving objects. The meth...
Understanding the relation between planned and realized flight trajectories and the determinants of ...
Dealing with moving objects necessitates having available complete geographical traces for determini...
Clustering of trajectories of moving objects by similarity is an important technique in movement ana...
Maximilian Konzack, Tim Ophelders, Michel A. Westenberg and Kevin Buchin are supported by the Nether...
Trajectories between the same origin and destination (OD) offer valuable information for us to bette...
In movement data analysis, there exists a problem of comparing multiple trajectories of moving objec...
In movement data analysis, there exists a problem of comparing multiple trajectories of moving objec...
Clustering of trajectories of moving objects by similarity is an important technique in movement ana...
Over the past few years a series of computational and semantic frameworks have been developed to mod...
Computing trajectory similarity is a fundamental operation in movement analytics, required in search...
Movement of point objects are highly sensitive to the underlying situations and conditions during th...
This paper introduces a similarity analysis method for moving object trajectories. The proposed meth...
In air traffic management and control, movement data describing actual and planned flights are used ...
Spatial movement data nowadays is becoming ubiquitously available, including data of animals, vehicl...
We propose a segmentation and feature extraction method for trajectories of moving objects. The meth...
Understanding the relation between planned and realized flight trajectories and the determinants of ...
Dealing with moving objects necessitates having available complete geographical traces for determini...
Clustering of trajectories of moving objects by similarity is an important technique in movement ana...
Maximilian Konzack, Tim Ophelders, Michel A. Westenberg and Kevin Buchin are supported by the Nether...
Trajectories between the same origin and destination (OD) offer valuable information for us to bette...