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Volumn , Issue , 2011, Pages

Kernel-based optimization for traffic density estimation in ITS

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION FUNCTION; AS RELATIONSHIPS; COSTS AND BENEFITS; CUMULATIVE DISTRIBUTION; DENSITY ESTIMATION METHODS; DIFFERENT MODES; DIRAC DISTRIBUTION; FLOATING CAR DATA; GAUSSIAN MIXTURES; MOBILE VEHICLE; PROBABILISTIC FRAMEWORK; ROAD NETWORK; SPATIAL TEMPORAL MODEL; SPECIFIC TIME; TIME WINDOWS; TIME-STAMP; TRAFFIC DENSITIES; TRANSPORTATION SYSTEM;

EID: 83755168882     PISSN: 15502252     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VETECF.2011.6093194     Document Type: Conference Paper
Times cited : (11)

References (8)
  • 5
    • 34548629412 scopus 로고    scopus 로고
    • Information fusion for wireless sensor networks: Methods, models, and classifications
    • September
    • E. F. Nakamura, A. A. F. Loureiro, and A. C. Frery, "Information fusion for wireless sensor networks: Methods, models, and classifications," ACM Computing Survey, vol. 39, no. 3, September 2007.
    • (2007) ACM Computing Survey , vol.39 , Issue.3
    • Nakamura, E.F.1    Loureiro, A.A.F.2    Frery, A.C.3
  • 8
    • 79952068526 scopus 로고    scopus 로고
    • Travel time prediction using floating car data applied to logistics planning
    • March
    • A. Simroth and H. Zahle, "Travel Time Prediction Using Floating Car Data Applied to Logistics Planning," IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 1, pp. 243-253, March 2011.
    • (2011) IEEE Transactions on Intelligent Transportation Systems , vol.12 , Issue.1 , pp. 243-253
    • Simroth, A.1    Zahle, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.