메뉴 건너뛰기




Volumn 44, Issue 6, 2004, Pages 793-796

Optimized aggregation level for ITS data based on wavelet decomposition

Author keywords

Data aggregation; Intelligent transportation system (ITS); Optimization; Shannon's sampling theorem; Wavelet transformation

Indexed keywords

DATA AGGREGATION; INTELLIGENT TRANSPORTATION SYSTEM; SHANNON SAMPLING THEOREM; SIMILARITY ANALYSIS; STATISTICAL COMPARISON; WAVELET DECOMPOSITION;

EID: 4344673328     PISSN: 10000054     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (9)

References (10)
  • 1
    • 0034433151 scopus 로고    scopus 로고
    • Intelligent transportation systems data archiving: Statistical techniques for determining optimal aggregation widths for inductive loop detector speed data
    • Washington DC: TRB, National Research Council
    • Gajewski B, Turner S, Eisele W, et al. Intelligent Transportation Systems Data Archiving: Statistical Techniques for Determining Optimal Aggregation Widths for Inductive Loop Detector Speed Data [R]. Transportation Research Record 1719, Washington DC: TRB, National Research Council, 2000.
    • (2000) Transportation Research Record 1719
    • Gajewski, B.1    Turner, S.2    Eisele, W.3
  • 2
  • 3
    • 1842527338 scopus 로고    scopus 로고
    • Guidelines for developing ITS data archiving systems
    • Report 2127-3, Project Number 0-2127. Texas: The Texas Department of Transportation in cooperation with The U. S. Department of Transportation Federal Highway Administration
    • Shawn M. Turner. Guidelines for Developing ITS Data Archiving Systems [R]. Report 2127-3, Project Number 0-2127. Texas: The Texas Department of Transportation in cooperation with The U. S. Department of Transportation Federal Highway Administration, 2001.
    • (2001)
    • Turner, S.M.1
  • 4
    • 2042470367 scopus 로고
    • Guidelines for traffic data programs
    • AASHTO, Washington, DC: American Association of State Highway and Transportation Officials
    • AASHTO Guidelines for Traffic Data Programs [R]. Washington, DC: American Association of State Highway and Transportation Officials, 1992.
    • (1992)
  • 5
    • 0003726458 scopus 로고
    • Washington, DC: Federal Highway Administration, US Department of Transportation, Third Edition
    • Federal Highway Administration, US Department of Transportation. Traffic Monitoring Guide (Third Edition) [M]. Washington, DC: Federal Highway Administration, US Department of Transportation, 1995.
    • (1995) Traffic Monitoring Guide
  • 6
    • 0033745936 scopus 로고    scopus 로고
    • An adaptive conjugate gradient neural network-wavelet model for traffic incident detection
    • Adeli H, Samant A. An adaptive conjugate gradient neural network-wavelet model for traffic incident detection [J]. Computer-Aided Civil and Infrastructure Engineering, 2000, 15(4): 115-136.
    • (2000) Computer-Aided Civil and Infrastructure Engineering , vol.15 , Issue.4 , pp. 115-136
    • Adeli, H.1    Samant, A.2
  • 7
    • 0034324290 scopus 로고    scopus 로고
    • Fuzzy-wavelet RBFNN model for freeway incident detection
    • Adeli H, Karim A. Fuzzy-wavelet RBFNN model for freeway incident detection [J]. J Transp Eng, 2000, 126(6): 233-264.
    • (2000) J. Transp. Eng. , vol.126 , Issue.6 , pp. 233-264
    • Adeli, H.1    Karim, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.