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A method for similarity measurement in spatial trajectories
Rahim Ali Abbaspour,Mohammad Shaeri,Alireza Chehreghan 대한공간정보학회 2017 Spatial Information Research Vol.25 No.3
Owing to increasing number of moving objects and positioning technologies both indoors and outdoors, spatial databases have encountered immense amount of spatio-temporal data. This causes spatial analyses of trajectories to be one of the most interesting topics in GIS research recently. Finding similar trajectories are of high importance to utilize these analyses. Distance functions play the key role in similarity measurement to find similar trajectories. Thus far, various distance functions have been proposed, but they show some drawbacks for spatial trajectories due to their nature. In this paper, a novel method is proposed considering spatio-temporal behaviors of spatial trajectories. In first step, polyline with minimum number of line segments representing trajectory in correspondent space with acceptable similarity is fitted. Then, the comparisons of trajectories are based on fitted polylines. Robustness of trajectories similarity to noise and sampling rate is proven with 96% according to evaluations.