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

Auteur(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).)
Médium: article de revue
Langue(s): anglais
Publié dans: Journal of Transportation Engineering, Part A: Systems, , n. 8, v. 146
Page(s): 04020072
DOI: 10.1061/jtepbs.0000402
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1061/jtepbs.0000402.
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  • Reference-ID
    10580486
  • Publié(e) le:
    08.03.2021
  • Modifié(e) le:
    08.03.2021
 
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