Segmenting trajectory data using the Brownian bridge movement model

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Master Thesis

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Abstract

We have implemented a model-based segmentation framework and used it with the Brownian bridge movement model to segment a trajectory based on transport mode. We find that this setup is not very effective at discovering transport mode transitions, but in the process, we discover that this method is much more effective at segmenting based on other movement patterns such as curves and acceleration than on transport mode.

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