Mining traffic condition from trajectories

Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008

Volumn 4, Issue , 2008, Pages 256-260

  Guo, Danhuai ^a  

^a INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY LOGIC; FUZZY SYSTEMS; INTERSECTIONS; THEOREM PROVING; TRAJECTORIES; VEHICLE TRANSMISSIONS;

AND ENVIRONMENTS; CONSTRAINTS MATRIXES; LINEAR REFERENCE SYSTEMS; MINING ALGORITHMS; MOVING OBJECTS; ROAD CONDITIONS; ROAD INTERSECTIONS; ROAD SEGMENTATIONS; SPATIO TEMPORALS; TRAFFIC CONDITIONS; WIRELESS TRANSMISSIONS;

ROADS AND STREETS;

EID: 58049193741     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2008.576     Document Type: Conference Paper

References (16)

1. N. Andrienko, G. Andrienko, N. Pelekis, and S. Spaccapietra, "Basic Concepts of Movement Data," in Mobility, Data Mining and Privacy, 2008, pp. 15-38.
2. S. Schroedl, K. Wagstaff, S. Rogers, P. Langley, and C. Wilson, "Mining GPS Traces for Map Refinement," Data mining and knowledge Discovery, vol. 9, pp. 59-87, August 23,2002 2004.
3. J. Gudmundsson, M. v. Kreveld, and B. Speckmann, "Effient Detection of Patterns in 2D Trajectories of Moving Points," Geoinformatica, vol. 11, pp. 195-215, October 11, 2005 2007.
4. P. Laube, M. van Kreveld, and S. Imfeld, "Finding REMO - Detecting relative motion patterns in geospatial lifelines," in Developments in Spatial Data Handling, P. Fisher, Ed., 2005, pp. 201-215.
5. X. Li, J. Han, J.-G. Lee, and H. Gonzalez, "Traffic Density-Based Discovery of Hot Routes in Road Networks," in Advances in Spatial and Temporal Databases, 2007, pp. 441-459.
6. J.-W. Chang, R. Bista, Y.-C. Kim, and Y.-K. Kim, "Spatio-temporal similarity measure algorithm for moving objects on spatial networks," in International Conference of Computational Science and its Applicaitons ICCSA, Kuala Lumpur, Malaysia, 2007, pp. 1165-1178.
7. J.-R. Hwang, H.-Y. Kang, and K.-J. Li, "Spatio-temporal similarity analysis between trajectories on road networks," Klagenfurt, Austria, 2005, pp. 280-289.
8. J.-R. Hwang, H.-Y. Kang, and K.-J. Li, "Searching for similar trajectories on road networks using spatio-temporal similarity," Thessaloniki, Greece, 2006, pp. 282-295.
9. M.-H. Jin, J.-T. Horng, M.-F. Tsai, and E. H.-K. Wu, "Location query based on moving behaviors," Information Systems, vol. 32, pp. 385-401, 2008-1-10 2007.
10. D. Birant and A. Kut, "ST-DBSCAN: An algorithm for clustering spatial-temporal data," Data and Knowledge Engineering, vol. 60, pp. 208-221, 2007.
11. P. Laube, S. Imfeld, and R. Weibel, "Discovering relative motion patterns in groups of moving point objects," International Journal of Geographical Information Science, vol. 19, pp. 639-668, Jul 2005.
12. S.-s. Wang and D.-y. Liu, "Spatio-temporal Database with Multi-granularities," in Advances inWeb-Age Information Management, 2004, pp. 137-146.
13. P. Scarponcini, "Generalized Model for Linear Referencing in Transportation," GeoInformatica, vol. 6, pp. 35-55, 2002.
14. X. Tong and D. Yang, "Linear referencing system data model for GIS-T," Beijing, China, 2000, pp. 893-898.
15. X. Zuo, Q. Fang, and Y. Min, "A spatial indexing approach based on Linear Referencing System," Wuhan, China, 2006, p. 641817.
16. J. Yang and M. Hu, "TrajPattern: Mining sequential patterns from imprecise trajectories of mobile objects," in Advances in Database Technology - Edbt 2006. vol. 3896, Y. Ioannidis, M. H. Scholl, J. W. Schmidt, F. Matthes, M. Hatzopoulos, K. Boehm, A. Kemper, T. Grust, and C. Boehm, Eds., 2006, pp. 664-681.