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Predictor fusion for short-term traffic forecasting
File | Description | Size | Format | |
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![]() | Published version | 1.55 MB | Adobe PDF | View/Open |
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: | Civil and Environmental Engineering Faculty of Engineering |