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Snowplow Truck Performance Assessment and Feature Importance Analysis Using Machine-Learning Techniques

Author(s): ORCID (Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112)
ORCID (Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112 (corresponding author))
(Associate Professor, School of Public Policy, Univ. of California, Riverside, Riverside, CA 92521.)
ORCID (Professor, School of Information, Univ. of Texas at Austin, Austin, TX 78701)
Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, Part A: Systems, , n. 2, v. 147
Page(s): 04020160
DOI: 10.1061/jtepbs.0000486
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/jtepbs.0000486.
  • About this
    data sheet
  • Reference-ID
    10580586
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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