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Interpretable machine-learning models for estimating trip purpose in smart card data

Author(s): ORCID (PhD candidate, Department of Civil & Environmental Engineering, Seoul National University, Seoul, Republic of Korea)
ORCID (Master Course, Department of Civil & Environmental Engineering, Seoul National University, Seoul, Republic of Korea)
ORCID (Associate Professor, Department of Civil & Environmental Engineering, Seoul National University, Seoul, Republic of Korea (corresponding author: ))
Medium: journal article
Language(s): English
Published in: Proceedings of the Institution of Civil Engineers - Municipal Engineer, , n. 2, v. 174
Page(s): 108-117
DOI: 10.1680/jmuen.20.00003
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: 10.1680/jmuen.20.00003.
  • About this
    data sheet
  • Reference-ID
    10644475
  • Published on:
    10/01/2022
  • Last updated on:
    10/01/2022
 
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