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Potentialities of Data-Driven Nonparametric Regression in Urban Signalized Traffic Flow Forecasting

Author(s): (Associate Professor, College of Urban Society, Univ. of Incheon, Incheon 406-772, South Korea.)
(Research Scientist, Graduate School of Environmental Studies, Seoul National Univ., Seoul 151-742, South Korea (corresponding author).)
Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, , n. 7, v. 140
Page(s): 04014027
DOI: 10.1061/(asce)te.1943-5436.0000662
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)te.1943-5436.0000662.
  • About this
    data sheet
  • Reference-ID
    10635679
  • Published on:
    29/11/2021
  • Last updated on:
    29/11/2021
 
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