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Traffic crash prediction in Kano, Nigeria: multivariate long short-term memory method

Author(s): ORCID (PhD student, School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China; National Engineering Laboratory of Integrated Transportation Big Data Application Technology, West Park, High-Tech District, Chengdu, China; Department of )
ORCID (Professor, School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China; National Engineering Laboratory of Integrated Transportation Big Data Application Technology, West Park, High-Tech District, Chengdu, China (corresponding au)
ORCID (PhD student, School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China)
Medium: journal article
Language(s): English
Published in: Proceedings of the Institution of Civil Engineers - Transport
Page(s): 1-8
DOI: 10.1680/jtran.24.00003
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/jtran.24.00003.
  • About this
    data sheet
  • Reference-ID
    10787247
  • Published on:
    20/06/2024
  • Last updated on:
    20/06/2024
 
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