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Large-Scale Full-Coverage Traffic Speed Estimation under Extreme Traffic Conditions Using a Big Data and Deep Learning Approach: Case Study in China

Author(s): ORCID (Research Associate, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin–Madison, 2205 Engineering Hall, 1415 Engineering Dr., Madison, WI 53706 (corresponding author))
(Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin–Madison, 2205 Engineering Hall, 1415 Engineering Dr., Madison, WI 53706.)
(Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin–Madison, 2205 Engineering Hall, 1415 Engineering Dr., Madison, WI 53706.)
(ITS Engineer, TranSmart Technologies, Inc., 411 S. Wells St., Suite 1000, Chicago, IL 60607.)
(Professor, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin–Madison, 2205 Engineering Hall, 1415 Engineering Dr., Madison, WI 53706.)
Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, Part A: Systems, , n. 5, v. 145
Page(s): 05019001
DOI: 10.1061/jtepbs.0000230
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.0000230.
  • About this
    data sheet
  • Reference-ID
    10580330
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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