Using Data from the Web to Predict Public Transport Arrivals under Special Events Scenarios

Journal of Intelligent Transportation Systems: Technology, Planning, and Operations

Volumn 19, Issue 3, 2015, Pages 273-288

  Pereira, Francisco C ^a   Rodrigues, Filipe ^b   Ben Akiva, Moshe ^c  

^a SINGAPORE MIT ALLIANCE FOR RESEARCH AND TECHNOLOGY   (Singapore)

^b UNIVERSITY OF COIMBRA   (Portugal)

^c Massachusetts Institute of Technology   (United States)

Author keywords

Data mining; Demand Prediction; Public Transport; Smartcard; Urban Computing; Web Mining

Indexed keywords

FORECASTING; PREDICTIVE ANALYTICS; SMART CARDS; SPORTS; UNCERTAINTY ANALYSIS; URBAN TRANSPORTATION;

BEHAVIOR PATTERNS; CONTEXTUAL INFORMATION; DEMAND PREDICTION; PLANNING MEASURES; PUBLIC TRANSPORT; TRANSPORTATION SYSTEM; URBAN COMPUTING; WEB MINING;

DATA MINING;

EID: 84938556738     PISSN: 15472450     EISSN: 15472442     Source Type: Journal    
DOI: 10.1080/15472450.2013.868284     Document Type: Article

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