Similarity Measure of Trajectories Using Contextual Information and Fuzzy Approach
Alesheikh, Ali A.
- Conference Paper
Studying moving-point objects behaviors and analyzing their trajectories have received great attention to the geographic information science community recently. Because movements of objects are embedded in contexts, their trajectories are influenced by such contexts. This paper contextualizes the similarity measure of trajectories by not only their spatial footprints but also a notion of internal and external contexts. To this end, a hierarchical fuzzy inference system is developed, capable of accounting both qualitative and quantitative contextual information in the similarity search of trajectories. This model is applied on a real dataset of individuals who walked in the Central Park in New York, USA. The results yielded the robustness of the model in quantifying the commonalities of trajectories while taking contextual information into account Show more
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Van de Weghe, Nico
Book titleAdjunct Proceedings of the 14th International Conference on Location Based Services
Pages / Article No.
SubjectTrajectory; Similarity measure; Context; Fuzzy
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Is part of: https://doi.org/10.3929/ethz-b-000224043
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