Predictor fusion for short-term traffic forecasting

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Title: Predictor fusion for short-term traffic forecasting
Authors: Guo, F
Polak, JW
Krishnamoorthy, R
Item Type: Journal Article
Issue Date: 1-Jul-2018
Date of Acceptance: 30-Apr-2018
URI: http://hdl.handle.net/10044/1/59336
DOI: https://dx.doi.org/10.1016/j.trc.2018.04.025
ISSN: 0968-090X
Publisher: Elsevier
Start Page: 90
End Page: 100
Journal / Book Title: Transportation Research Part C: Emerging Technologies
Volume: 92
Copyright Statement: © 2018 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
EPSRC
Funder's Grant Number: EP/F005156/1
EP/I038837/1
EP/I038837/1
Keywords: Science & Technology
Technology
Transportation Science & Technology
Transportation
NEURAL-NETWORK APPROACH
TRAVEL-TIME PREDICTION
FLOW PREDICTION
RANDOM FORESTS
REGRESSION
PERFORMANCE
MODELS
09 Engineering
08 Information And Computing Sciences
15 Commerce, Management, Tourism And Services
Logistics & Transportation
Publication Status: Published
Online Publication Date: 2018-05-06
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering



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