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Volumn , Issue , 2008, Pages 760-764

Short-term traffic flow prediction based on embedding phase-space and blind signal separation

Author keywords

Blind signal separating; Embedding phase space; Prediction

Indexed keywords

DATA MINING; EMBEDDINGS; FORECASTING; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; PHASE SPACE METHODS; STREET TRAFFIC CONTROL; TRAFFIC SIGNALS;

EID: 57649239259     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIS.2008.4670797     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 3
    • 38049048812 scopus 로고    scopus 로고
    • Short-term traffic flow prediction based on incremental support vector regression
    • Su HW, Zhang L, Yu S, Short-term traffic flow prediction based on incremental support vector regression, Third international conference on Natural Computation, Vol. 1, pp.640-645, 2007.
    • (2007) Third international conference on Natural Computation , vol.1 , pp. 640-645
    • Su, H.W.1    Zhang, L.2    Yu, S.3
  • 6
    • 34249914759 scopus 로고    scopus 로고
    • Daiheng Ni, Determining Traffic-Flow Characteristics by Definition for Application in ITS, IEEE transactions on international transportation systems, 8, Issue 2, pp.181-187, lune 2007.
    • Daiheng Ni, Determining Traffic-Flow Characteristics by Definition for Application in ITS, IEEE transactions on international transportation systems, Vol.8, Issue 2, pp.181-187, lune 2007.
  • 9
    • 0033993171 scopus 로고    scopus 로고
    • Pattern modeling in time-series forecasting
    • S.Singh, Pattern modeling in time-series forecasting, Cybernetics and Systems, Vol. 31, Issue 1, pp. 49-66, 2000.
    • (2000) Cybernetics and Systems , vol.31 , Issue.1 , pp. 49-66
    • Singh, S.1
  • 10
    • 57649168378 scopus 로고    scopus 로고
    • http://www.cattlab.umd.edu


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.