Analysis on cruising process for on-street parking using an spectral clustering method (Englisch)
Freier Zugriff
- Neue Suche nach: Qin, Huanmei
- Neue Suche nach: Pang, Qianqian
- Neue Suche nach: Yu, Binhai
- Neue Suche nach: Wang, Zhongfeng
- Neue Suche nach: Qin, Huanmei
- Neue Suche nach: Pang, Qianqian
- Neue Suche nach: Yu, Binhai
- Neue Suche nach: Wang, Zhongfeng
In:
IET Intelligent Transport Systems
;
14
, 14
;
2113-2121
;
2021
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:Analysis on cruising process for on-street parking using an spectral clustering method
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Beteiligte:Qin, Huanmei ( Autor:in ) / Pang, Qianqian ( Autor:in ) / Yu, Binhai ( Autor:in ) / Wang, Zhongfeng ( Autor:in )
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Erschienen in:IET Intelligent Transport Systems ; 14, 14 ; 2113-2121
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:26.02.2021
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Format / Umfang:9 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:pattern clustering , parking spaces , parking status , intelligent parking systems , cruising trajectory length , Beijing , spectral clustering , parking efficiency , hidden Markov models , on-street parking , environmental pollution , road traffic , cruising trajectories , parking problems , cruising vehicles , road vehicles , intercepted trajectory lengths , intelligent parking guidance , intelligent transportation systems , HMM , hidden Markov model , three-dimensional trajectory data , parking location , traffic engineering computing , traffic congestion
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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