江俊文,王晓玲 . 轨迹数据压缩综述[J]. 华东师范大学学报（自然科学版）, 2015 , 2015(5) : 61 -76 . DOI: 10.3969/j.issn.1000-5641.2015.00.005

［1］DOUGLAS D H, PEUCKER T K. Algorithms for the reduction of the number of points required to represent a digitized line or its caricature［J］. Cartographica: The International Journal for Geographic Information and Geovisualization, 1973, 10(2): 112122.

［2］KEOGH E, CHU S, HART D, et al. An online algorithm for segmenting time series［C］Proceedings of the IEEE International Conference on Data Mining. IEEE, 2001: 289296.

［3］POTAMIAS M, PATROUMPAS K, SELLIS T. Sampling trajectory streams with spatiotemporal criteria［C］Proceedings of the 18th IEEE International Conference on Scientific and Statistical Database Management. IEEE, 2006: 275284.

［4］LERIN P M, YAMAMOTO D, Takahashi N. Encoding travel traces by using road networks and routing algorithms［M］Intelligent Interactive Multimedia: Systems and Services. Berlin: Springer, 2012: 233243. 

［5］KELLARIS G, PELEKIS N, THEODORIDIS Y. Trajectory compression under network constraints［M］Advances in Spatial and Temporal Databases. Berlin: Springer, 2009: 392398.

［6］KELLARIS G, PELEKIS N, THEODORIDIS Y. Mapmatched trajectory compression［J］. Journal of Systems and Software, 2013, 86(6): 15661579.

［7］SONG R, SUN W, ZHENG B, et al. PRESS: A novel framework of trajectory compression in road networks［C］Proceedings of the 40th International Conference on Very Large Data Bases. ACM, 2014: 14021546.

［8］MUCKELL J, HWANG J H, LAWSON C T, et al. Algorithms for compressing GPS trajectory data: An empirical evaluation［C］Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, 2010: 402405.

［9］SCHMID F, RICHTER K F, LAUBE P. Semantic trajectory compression［M］Advances in Spatial and Temporal Databases. Berlin: Springer, 2009: 411416.

［10］RICHTER K F, SCHMID F, LAUBE P. Semantic trajectory compression: Representing urban movement in a nutshell［J］. Journal of Spatial Information Science, 2014 (4): 330.

［11］YAN Z, SPACCAPIETRA S. Towards semantic trajectory data analysis: A conceptual and computational approach［C］Proceedings of the International Conference on Very Large Data Bases PhD Workshop. 2009:16.

［12］DAMIANI M L, SPACCAPIETRA S, PARENT C, et al. A conceptual view on trajectories［J］. Data and Knowledge Engineering, 2008, 65(1):126146.

［13］HERSHBERGER J E, SNOEYINK J. Speeding up the douglaspeucker linesimplification algorithm［M］International Symposium on Spatial Data Handling. Berlin: Springer, 1992:134143.

［14］MERATNIA N, ROLF A. Spatiotemporal compression techniques for moving point objects［M］Advances in Database Technology. Berlin: Springer, 2004: 765782.

［15］LIU J, ZHAO K, SOMMER P, et al. Bounded quadrant system: Errorbounded trajectory compression on the go［C］Proceedings of the 31st IEEE International Conference on Data Engineering. IEEE, 2015: 987998.

［16］MUCKELL J, HWANG J H, PATIL V, et al. SQUISH: An online approach for GPS trajectory compression［C］Proceedings of the 2nd International Conference on Computing for Geospatial Research and Applications. ACM, 2011: 18.

［17］MUCKELL J, OLSEN P W, HWANG J H, et al. Compression of trajectory data: A comprehensive evaluation and new approach［J］. Geoinformatica, 2014, 18(3):435460.

［18］BRAKATSOULAS S, PFOSER D, SALAS R, et al. On mapmatching vehicle tracking data［C］Proceedings of the 31st International Conference on Very Large Data Bases. ACM, 2005: 853864.

［19］HU C, WOLFSON O. Nonmaterialized motion information in transport networks［C］Proceedings of the 10th International Conference on Database Theory. 2005:173188.

［20］YIN H, WOLFSON O. A weightbased map matching method in moving objects databases［C］Proceedings of the IEEE International Conference on Scientific and Statistical Database Management. IEEE, 2004: 437438.

［21］SU H, ZHENG K, ZENG K, et al. STMaker—A system to make sense of trajectory data［C］Proceedings of the 40th International Conference on Very Large Data Bases. ACM, 2014:17011704.

［22］SU H, ZHENG K, ZENG K, et al. Making sense of trajectory data: A partitionandsummarization approach［C］Proceedings of the 31st IEEE International Conference on Data Engineering. IEEE, 2015: 963974.

［23］ZHENG Y, ZHOU X. Computing with Spatial Trajectories［M］. Berlin: Springer, 2011.

［24］CHEN L, ZSU M T, ORIA V. Robust and fast similarity search for moving object trajectories［C］Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data. ACM, 2005: 491502.

［25］CHEN Z, SHEN H T, ZHOU X, et al. Monitoring path nearest neighbor in road networks［C］Proceedings of the 35th SIGMOD International Conference on Management of Data. 2009:591602.

［26］SHANG S, DENG K, XIE K. Best point detour query in road networks［C］Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems. ACM, 2010: 7180.

［27］PFOSER D, JENSEN C S, THEODORIDIS Y. Novel approaches in query processing for moving object trajectories［C］Proceedings of the 26th International Conference on Very Large Data Bases. ACM, 2000: 395406.

［28］FRENTZOS E, GRATSIAS K, PELEKIS N, et al. Algorithms for nearest neighbor search on moving object trajectories［J］. Geoinformatica, 2007, 11(2):159193.

［29］CHEN Z, SHEN H T, ZHOU X, et al. Searching trajectories by locations: An efficiency study［C］Proceedings of the 2010 ACM SIGMOD International Conference on Management of data. ACM, 2010: 255266.

［30］LEE J G, HAN J, WHANG K Y. Trajectory clustering: A partitionandgroup framework［C］Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data. ACM, 2007: 593604.

［31］JEUNG H, YIU M L, ZHOU X F, et al. Discovery of convoys in trajectory databases［C］Proceedings of the 34th International Conference on Very Large Data Bases. ACM, 2008: 10681080.

［32］LEE J, HAN J, LI X, et al. TraClass: Trajectory classification using hierarchical regionbased and trajecorybased clustering［C］Proceedings of the 34th International Conference on Very Large Data Bases. 2008: 10811094.

［33］CONG G, LU H, OOI B C, et al. Efficient spatial keyword search in trajectory databases［R/OL］. arXiv:1205.2880v1.

［34］CHEN L, CONG G, JENSEN C S, et al. Spatial keyword query processing: An experimental evaluation［C］Proceedings of the 39th International Conference on Very Large Data Bases. ACM, 2013: 217228.

［35］CARY A, WOLFSON O, RISHE N. Efficient and scalable method for processing topk spatial boolean queries［M］Scientific and Statistical Database Management. Heidelberg: Springer, 2010: 8795.

［36］CONG G, JENSEN C S, WU D. Efficient retrieval of the topk most relevant spatial web objects［C］Proceedings of the 35th International Conference on Very Large Data Bases. ACM, 2009: 337348.

［37］LI Z, LEE K C K, ZHENG B, et al. An efficient index for geographic document search［J］. IEEE Transactions on Knowledge and Data Engineering, 2011, 23(4): 585599.

［38］WU D, MAN L Y, CONG G, et al. Joint topk spatial keyword query processing［J］. IEEE Transactions on Knowledge and Data Engineering, 2012, 24(10): 19891903.

［39］KHODAEI A, SHAHABI C, LI C. Hybrid indexing and seamless ranking of spatial and textual features of web documents［J］. Lecture Notes in Computer Science, 2010: 450466.

［40］VAID S, JONES C B, JOHO H, et al. Spatiotextual indexing for geographical search on the web［C］Proceedings of the 9th Symposium on Spatial and Temporal Databases. 2005: 218235.

［41］WU D, YIU M L, JENSEN C S, et al. Efficient continuously moving topk spatial keyword query processing［C］Proceedings of the 27th International Conference on Data Engineering. 2011: 541552.

［42］ZHOU Y, XIE X, WANG C, et al. Hybrid index structures for locationbased web search［C］Proceedings of the 14th ACM international conference on Information and Knowledge Management. ACM, 2005: 155162.

［43］CUDREMAUROUX P, WU E, MADDEN S. TrajStore: An adaptive storage system for very large trajectory data sets［C］Proceedings of the 26th IEEE International Conference on Data Engineering. IEEE, 2010: 109120.

［44］WU E, CUDREMAUROUX P, MADDEN S. Demonstration of the trajStore system［C］Proceedings of the 35th International Conference on Very Large Data Bases. ACM, 2009: 15541557.

［45］WANG H, ZHENG K, XU J, et al. Sharkdb: An inmemory columnoriented trajectory storage［C］Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management. ACM, 2014: 14091418.

［46］NISHIMURA S, DAS S, AGRAWAL D, et al. MDHBase: A scalable multidimensional data infrastructure for location aware services［C］Proceedings of the 12th IEEE International Conference on Mobile Data Management. IEEE, 2011: 716.

［47］HUANG S, WANG B, ZHU J Y, et al. RHBase: A multidimensional indexing framework for cloud computing environment［C］Proceedings of the 14th IEEE International Conference on Data Mining Workshops. IEEE, 2014: 569574.

［48］ELDAWY A, MOKBEL M F. A demonstration of SpatialHadoop: An efficient mapReduce framework for spatial data［J］. Proceedings of the 39th International Conference on Very Large Data Bases. ACM, 2013: 12301233.

［49］ELDAWY A. SpatialHadoop: Towards flexible and scalable spatial processing using mapreduce［C］Proceedings of the SIGMOD PhD Symposium. ACM, 2014: 4650.