메뉴 건너뛰기




Volumn , Issue , 2014, Pages 1246-1249

A demonstration of MNTG - A web-based road network traffic generator

Author keywords

[No Author keywords available]

Indexed keywords

SHIPS; WEB SERVICES; WEBSITES;

EID: 84901756486     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2014.6816752     Document Type: Conference Paper
Times cited : (13)

References (13)
  • 1
    • 0036606530 scopus 로고    scopus 로고
    • A framework for generating network-based moving objects
    • T. Brinkhoff. A Framework for Generating Network-based Moving Objects. GeoInformatica, 6(2), 2002.
    • (2002) GeoInformatica , vol.6 , Issue.2
    • Brinkhoff, T.1
  • 2
    • 77953126964 scopus 로고    scopus 로고
    • A benchmark for evaluating moving object indexes
    • S. Chen, C. S. Jensen, and D. Lin. A Benchmark for Evaluating Moving Object Indexes. VLDB Journal, 1(2), 2008.
    • (2008) VLDB Journal , vol.1 , Issue.2
    • Chen, S.1    Jensen, C.S.2    Lin, D.3
  • 3
    • 71349088077 scopus 로고    scopus 로고
    • Berlinmod: A benchmark for moving object databases
    • C. Düntgen, T. Behr, and R. H. Güting. BerlinMOD: a Benchmark for Moving Object Databases. VLDB Journal, 18(6), 2009.
    • (2009) VLDB Journal , vol.18 , Issue.6
    • Düntgen, C.1    Behr, T.2    Güting, R.H.3
  • 4
    • 80051786454 scopus 로고    scopus 로고
    • Secondo: A platform for moving objects database research and for publishing and integrating research implementations
    • R. H. Güting, T. Behr, and C. Düntgen. Secondo: A platform for moving objects database research and for publishing and integrating research implementations. IEEE Data Engineering Bulletin, 33(2), 2010.
    • (2010) IEEE Data Engineering Bulletin , vol.33 , Issue.2
    • Güting, R.H.1    Behr, T.2    Düntgen, C.3
  • 5
    • 76749163866 scopus 로고    scopus 로고
    • PAM: An efficient and privacy-aware monitoring framework for continuously moving objects
    • H. Hu, J. Xu, and D. L. Lee. PAM: An Efficient and Privacy-Aware Monitoring Framework for Continuously Moving Objects. IEEE TKDE, 22(3), 2010.
    • (2010) IEEE TKDE , vol.22 , Issue.3
    • Hu, H.1    Xu, J.2    Lee, D.L.3
  • 6
    • 52649158650 scopus 로고    scopus 로고
    • A hybrid prediction model for moving objects
    • H. Jeung, Q. Liu, H. T. Shen, and X. Zhou. A Hybrid Prediction Model for Moving Objects. In ICDE, 2008.
    • (2008) ICDE
    • Jeung, H.1    Liu, Q.2    Shen, H.T.3    Zhou, X.4
  • 8
    • 3142704472 scopus 로고    scopus 로고
    • SINA: Scalable incremental processing of continuous queries in spatio-temporal databases
    • M. F. Mokbel, X. Xiong, and W. G. Aref. SINA: Scalable Incremental Processing of Continuous Queries in Spatio-temporal Databases. In SIGMOD, 2004.
    • (2004) SIGMOD
    • Mokbel, M.F.1    Xiong, X.2    Aref, W.G.3
  • 9
    • 84901795185 scopus 로고    scopus 로고
    • OpenStreetMaps
    • OpenStreetMaps. http://www.openstreetmap.org/.
  • 10
    • 78650573200 scopus 로고    scopus 로고
    • Mining group movement patterns for tracking moving objects efficiently
    • H.-P. Tsai, D.-N. Yang, and M.-S. Chen. Mining Group Movement Patterns for Tracking Moving Objects Efficiently. IEEE TKDE, 23(2), 2011.
    • (2011) IEEE TKDE , vol.23 , Issue.2
    • Tsai, H.-P.1    Yang, D.-N.2    Chen, M.-S.3
  • 11
    • 84901800653 scopus 로고    scopus 로고
    • US TIGER LINES
    • US TIGER LINES. http://www.census.gov/geo/maps-data/data/tiger-line.html.
  • 12
    • 34548790635 scopus 로고    scopus 로고
    • Distributed processing of moving k-nearest-neighbor query on moving objects
    • W. Wu, W. Guo, and K.-L. Tan. Distributed Processing of Moving K-Nearest-Neighbor Query on Moving Objects. In ICDE, 2007.
    • (2007) ICDE
    • Wu, W.1    Guo, W.2    Tan, K.-L.3
  • 13
    • 70349491229 scopus 로고    scopus 로고
    • GeoLife2.0: A location-based social networking service
    • Y. Zheng, Y. Chen, X. Xie, and W.-Y. Ma. GeoLife2.0: A Location-Based Social Networking Service. In MDM, 2009.
    • (2009) MDM
    • Zheng, Y.1    Chen, Y.2    Xie, X.3    Ma, W.-Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.