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Neural Network for Gap Acceptance at Stop‐Controlled Intersections

Author(s): (Assoc. Prof., Dept. of Civ. and Envir. Engrg., Univ. of Cincinnati, 741 Baldwin Hall #71, Cincinnati, OH 45221‐0071)
(Grad. Asst. Dept. of Civ. and Envir. Engrg., Univ. of Cincinnati, 741 Baldwin Hall #71, Cincinnati, OH)
Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, , n. 3, v. 120
Page(s): 432-446
DOI: 10.1061/(asce)0733-947x(1994)120:3(432)
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)0733-947x(1994)120:3(432).
  • About this
    data sheet
  • Reference-ID
    10633711
  • Published on:
    29/11/2021
  • Last updated on:
    29/11/2021
 
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