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Freeway Recurrent Bottleneck Identification Algorithms Considering Detector Data Quality Issues

Author(s): (Postdoctoral Research Fellow, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 1616 Guadalupe St., Ste. 4.228, Austin, TX 78701 (corresponding author).)
(IT Program Manager, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin-Madison, 2205 Engineering Hall, 1415 Engineering Drive, Madison, WI 53706.)
(Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin-Madison, 1241 Engineering Hall, 1415 Engineering Drive, Madison, WI 53706.)
(Professor, School of Transportation, Southeast Univ., No. 2 Si Pai Lou, Nanjing 210096, China; and Dept. of Civil and Environmental Engineering, Univ. of Wisconsin-Madison, 1212 Engineering Hall, 1415 Engineering Dr., Madison, WI 53706.)
(Professor, Dept. of Civil, Architectural, and Environmental Engineering, Univ. of Texas at Austin, 1 Univ. Station C1761, Austin, TX 78712.)
Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, , n. 10, v. 138
Page(s): 1205-1214
DOI: 10.1061/(asce)te.1943-5436.0000424
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)te.1943-5436.0000424.
  • About this
    data sheet
  • Reference-ID
    10635433
  • Published on:
    29/11/2021
  • Last updated on:
    29/11/2021
 
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