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Volumn , Issue , 2011, Pages 419-425

Development of high accuracy congestion prediction algorithm using series of camera detectors

Author keywords

Congestion Precursor; Congestion Prediction; Dynamic Time Warping; Highway

Indexed keywords

ACCURACY ALGORITHMS; CAMERA DETECTORS; CONGESTION PRECURSOR; CONGESTION PREDICTION; DYNAMIC TIME WARPING; FALSE ALARM RATE; HIGHWAY; PREDICTION ACCURACY; REAL WORLD DATA; SIMULATION DATA; SINGLE CAMERAS; STANDARD DEVIATION; TRAFFIC VARIABLES;

EID: 81055137651     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITST.2011.6060093     Document Type: Conference Paper
Times cited : (3)

References (14)
  • 1
    • 33846074319 scopus 로고    scopus 로고
    • A complete review of incident detection algorithms and their deployment: What works and what doesn't
    • Parkany, E. and C. Xie, "A Complete Review of Incident Detection Algorithms and Their Deployment: What Works and What Doesn't", The New England Transportation Consortium, 2005.
    • (2005) The New England Transportation Consortium
    • Parkany, E.1    Xie, C.2
  • 2
    • 81055149332 scopus 로고    scopus 로고
    • A novel approach of dynamic time warping for short-term traffic congestion prediction
    • Washington, D. C.
    • K. Hiriotappa, et al, "A Novel Approach of Dynamic Time Warping for Short-Term Traffic Congestion Prediction", Transportation Research Board of the National Academies, Washington, D. C., 2011.
    • (2011) Transportation Research Board of the National Academies
    • Hiriotappa, K.1
  • 4
    • 0346723151 scopus 로고    scopus 로고
    • A method for relating type of crash to traffic flow characteristics on urban freeways
    • Elsevier
    • Golob, T. F., and W. W. Recker (2004). "A Method for Relating Type of Crash to Traffic Flow Characteristics on Urban Freeways", Transportation Research, Part A, Vol. 38, No. 1, Elsevier, pp. 53-80
    • (2004) Transportation Research, Part A , vol.38 , Issue.1 , pp. 53-80
    • Golob, T.F.1    Recker, W.W.2
  • 11
    • 80052391838 scopus 로고    scopus 로고
    • Detection and classi cation of traffi c anomalies using microscopic traffic variables
    • in press accepted for publication
    • J. A. Barria and S. Thajchayapong, "Detection and classi cation of traffi c anomalies using microscopic traffic variables", IEEE Transactions on Intelligent Transportation Systems, in press (accepted for publication).
    • IEEE Transactions on Intelligent Transportation Systems
    • Barria, J.A.1    Thajchayapong, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.