2011
DOI: 10.1080/18756891.2011.9727855
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Spatio-temporal Similarity Measure for Network Constrained Trajectory Data

Abstract: Trajectory similarity measure is an important issue for analyzing the behavior of moving objects. In this paper, a similarity measure method for network constrained trajectories is proposed. It considers spatial and temporal features simultaneously in calculating spatio-temporal distance. The crossing points of network and semantic information of trajectory are used to extract the characteristic points for trajectory partition. Experiment results show that the storage space is decreased after trajectory partit… Show more

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Cited by 12 publications
(10 citation statements)
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“…The spatial center of gravity can characterize the overall distribution of regional elements, and the migration law of element center of gravity represented the overall dynamic evolution process [20,21]. This method was also used by Shobugawa et al [23] to construct a WSD model to study the spread of influenza epidemics.…”
Section: Evolution Analysis On Logistics Industry and Economymentioning
confidence: 99%
“…The spatial center of gravity can characterize the overall distribution of regional elements, and the migration law of element center of gravity represented the overall dynamic evolution process [20,21]. This method was also used by Shobugawa et al [23] to construct a WSD model to study the spread of influenza epidemics.…”
Section: Evolution Analysis On Logistics Industry and Economymentioning
confidence: 99%
“…This paper addresses the similarity search problem over trajectories in road networks, which is a classical but still active area of spatial database research [41,48,55,56,64]. Unlike most existing studies that target whole matching between data and query trajectories (i.e., the entire trajectories are similar), we tackle the subtrajectory similarity search problem, which finds in a vehicular trajectory database the subtrajectories similar to a query (Figure 1).…”
Section: Introductionmentioning
confidence: 99%
“…To measure the similarity between trajectories, a similarity function must be selected. Albeit many trajectory similarity functions have been proposed [6,7,11,14,39,40,42,46,48,55,56,58,63,64], as demonstrated experimentally [6,7,48,64]), every similarity function has its own advantages and disadvantages. In other words, there is no "best" trajectory similarity function, and the choice depends on the application scenario.…”
Section: Introductionmentioning
confidence: 99%
“…This can further help in grasping comprehensive human mobility patterns, where multiple mobility data sources complement one another in explaining different types of human movements. There have been attempts to develop new methodologies to measure similarities between mobility patterns from diverse sources (Xia, Wang, Zhang, Kim, & Bae, ; Yuan & Raubal, ), and to address those demographic biases on multiple social media data (Crooks et al, ; Gao et al, ). However, effectively and quantitatively measuring mobility similarities from multiple data sources continues to be a research challenge.…”
Section: Introductionmentioning
confidence: 99%