BIRCH: an efficient data clustering method for very large databases
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Clustering by pattern similarity in large data sets
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Modeling Moving Objects over Multiple Granularities
Annals of Mathematics and Artificial Intelligence
High Dimensional Similarity Search With Space Filling Curves
Proceedings of the 17th International Conference on Data Engineering
Novel Approaches in Query Processing for Moving Object Trajectories
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Robust Similarity Measures for Mobile Object Trajectories
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
A Spatiotemporal Model and Language for Moving Objects on Road Networks
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Shape-Based Similarity Query for Trajectory of Mobile Objects
MDM '03 Proceedings of the 4th International Conference on Mobile Data Management
Discovering Similar Multidimensional Trajectories
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Nearest neighbor queries in road networks
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Computational data modeling for network-constrained moving objects
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Trajectories Mining for Traffic Condition Renewing
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Similarity-based prediction of travel times for vehicles traveling on known routes
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Searching for similar trajectories in spatial networks
Journal of Systems and Software
TransDB: GPS data management with applications in collective transport
Proceedings of the 5th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services
New travel time prediction algorithms for intelligent transportation systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Proceedings of the 5th French-Speaking Conference on Mobility and Ubiquity Computing
Spatio-temporal similarity measure algorithm for moving objects on spatial networks
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Research of spatio-temporal similarity measure on network constrained trajectory data
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Trajectory similarity of network constrained moving objects and applications to traffic security
PAISI'10 Proceedings of the 2010 Pacific Asia conference on Intelligence and Security Informatics
Searching for similar trajectories on road networks using spatio-temporal similarity
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
Fast and exact network trajectory similarity computation: a case-study on bicycle corridor planning
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
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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.