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

Autor(en): (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: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Journal of Transportation Engineering, Part A: Systems, , n. 8, v. 146
Seite(n): 04020072
DOI: 10.1061/jtepbs.0000402
Structurae kann Ihnen derzeit diese Veröffentlichung nicht im Volltext zur Verfügung stellen. Der Volltext ist beim Verlag erhältlich über die DOI: 10.1061/jtepbs.0000402.
  • Über diese
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  • Reference-ID
    10580486
  • Veröffentlicht am:
    08.03.2021
  • Geändert am:
    08.03.2021
 
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