Artikel
Cellular automata model on AIS-based for variable two-way waterway
Purpose: We aim at "heavy traffic direction" and "light traffic direction" in two-way waterway traffic and attempt to promote the transit capacity of two-way waterway system. Design/methodology/approach: We propose overtaking rules, head-on rules and a cellular automaton model for variable two-way waterway on AIS-based on the basis of NaSch (Nagel-Schreckenberg) model. Findings: By numerical simulation to the two situations which allow changing lane and prohibit changing lane, we obtain fundamental functions between traffic flux (speed) and density and find that changing lane can promote traffic flux and average speed of two-way waterway system under the premise of no impact to the traffic order, and when waterway ship traffic is dense, flux of waterway system has a visible promotion, and when traffic is sparse, average speed of waterway system adds significantly. Originality/value: The paper presents a method to analyze and promote transit capacity of two-way waterway.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Journal of Industrial Engineering and Management (JIEM) ; ISSN: 2013-0953 ; Volume: 8 ; Year: 2015 ; Issue: 3 ; Pages: 674-692 ; Barcelona: OmniaScience
- Klassifikation
-
Management
- Thema
-
cellular automata
vessel traffic flow
variable two-way waterway
changing lane
numerical simulation
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Feng, Hongxiang
Bao, Xiongguan
Zhou, Jianghua
Li, Song
Fang, Qionglin
- Ereignis
-
Veröffentlichung
- (wer)
-
OmniaScience
- (wo)
-
Barcelona
- (wann)
-
2015
- DOI
-
doi:10.3926/jiem.1347
- Handle
- Letzte Aktualisierung
-
02.08.2029, 00:00 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Feng, Hongxiang
- Bao, Xiongguan
- Zhou, Jianghua
- Li, Song
- Fang, Qionglin
- OmniaScience
Entstanden
- 2015
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