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Categorizing Car-Following Behaviors: Wavelet-Based Time Series Clustering Approach

Author(s): (Ph.D. Candidate, School of Transportation, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, China; Visiting Scholar, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin, Madison, 1208 Engineering Hall 1415 Engineering Dr., Mad)
(Postdoctoral, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin, Madison, 1208 Engineering Hall 1415 Engineering Dr., Madison, WI 53706.)
ORCID (Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin, Madison, 1208 Engineering Hall 1415 Engineering Dr., Madison, WI 53706)
(Lecturer, Dept. of Joint Research Institute on Internet of Mobility, Joint Research Institute on Internet of Mobility, Southeast Univ. and Univ. of Wisconsin-Madison, No. 2 Southeast University Rd., Nanjing, Jiangsu 211189, China.)
(Professor, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin, Madison, 1208 Engineering Hall 1415 Engineering Dr., Madison, WI 53706.)
(Professor, National Engineering Research Center for Software Engineering, Peking Univ., Beijing 10087, China.)
(Ph.D. Candidate, School of Software and Microelectronic, Peking Univ., No. 5 Yiheyuan Rd., Haidian District, Beijing 10087, China (corresponding author).)
Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, Part A: Systems, , n. 8, v. 146
Page(s): 04020072
DOI: 10.1061/jtepbs.0000402
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.0000402.
  • About this
    data sheet
  • Reference-ID
    10580486
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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