Characterizing regimes in daily cycles of urban traffic using smooth-transition regressions

Transportation Research Part C: Emerging Technologies

Volumn 18, Issue 5, 2010, Pages 821-840

  Kamarianakis, Yiannis ^a   Oliver Gao, H ^a   Prastacos, Poulicos ^b  

^a Cornell University   (United States)

^b INSTITUTE OF COMPUTER SCIENCE   (Greece)

Author keywords

Nonlinear traffic dynamics; Short term prediction; Smooth transition regression; Traffic states; Traffic flow patterns

Indexed keywords

TIME SERIES;

SHORT TERM PREDICTION; SMOOTH TRANSITION REGRESSIONS; TRAFFIC DYNAMICS; TRAFFIC FLOW PATTERNS; TRAFFIC STATE;

DYNAMICS;

ARTIFICIAL NEURAL NETWORK; NUMERICAL MODEL; PREDICTION; REGRESSION ANALYSIS; TRAFFIC CONGESTION; URBAN AREA; URBAN TRANSPORT;

ATHENS [ATTICA]; ATTICA; GREECE;

EID: 77953362241     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2009.11.001     Document Type: Article

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