Predicting short-term bus passenger demand using a pattern hybrid approach

Transportation Research Part C: Emerging Technologies

Volumn 39, Issue , 2014, Pages 148-163

  Ma, Zhenliang ^a   Xing, Jianping ^b   Mesbah, Mahmoud ^a   Ferreira, Luis ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b SHANDONG UNIVERSITY   (China)

Author keywords

Interactive multiple model; Passenger demand; Pattern hybrid; Short term forecast; Time series analysis

Indexed keywords

FORECASTING; SMART CARDS; TRAFFIC CONTROL;

CORRELATION ANALYSIS; INTERACTIVE MULTIPLE MODELS; PASSENGER DEMANDS; PATTERN HYBRID; REAL TIME OBSERVATION; SHORT-TERM FORECASTS; TIME SERIES FORECASTS; TRAFFIC FLOW FORECAST;

TIME SERIES ANALYSIS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BUS TRANSPORT; CORRELATION; DEMAND ANALYSIS; NUMERICAL MODEL; TIME SERIES ANALYSIS;

EID: 84892405776     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2013.12.008     Document Type: Article

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