In order to analyze the behavior of moving objects, a measure for determining the similarity of trajectories needs to be defined. Although research has been conducted that retrieved similar trajectories of moving objects in Euclidean space, very little research has been conducted on moving objects in the space defined by road networks. In terms of real applications, most moving objects are located in road network space rather than in Euclidean space. In this paper, we investigate the properties of similar trajectories in road network space. And we propose a method to retrieve similar trajectories based on this observation and similarity measure between trajectories on road network space. Experimental results show that this method provides not only a practical method for searching for similar trajectories but also a clustering method for trajectories. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Hwang, J. R., Kang, H. Y., & Li, K. J. (2005). Spatio-temporal similarity analysis between trajectories on road networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3770 LNCS, pp. 280–289). Springer Verlag. https://doi.org/10.1007/11568346_30
Mendeley helps you to discover research relevant for your work.