Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/17364
ชื่อเรื่อง: A cellular automation traffic flow model for traffic light signal management in intersection system with and without random driving behaviour
ผู้แต่ง: Manomairoj S.
Chayanuwong T.
Hiransirawat S.
Disrattakit J.
Disrattakit P.
Keywords: Cellular automata
Street traffic control
Traffic congestion
Vehicles
Cellular automation
Driving behaviour
Lane changing
Maximum vehicle speed
Traffic flow modeling
Traffic light managements
Two-lane traffic
Vehicle density
Traffic signals
วันที่เผยแพร่: 2021
บทคัดย่อ: In this study, traffic light management in intersection system was simulated based on cellular automata traffic flow model. Characteristic of vehicles flow is defined according to the NS model. Our model was developed by adding driving behaviours, which are randomly defined in different maximum vehicle speed of mixed flow for two-lane traffic flow without lane-changing. The relation between time duration of traffic light signal and the traffic flow by analyzing vehicle density and averaged speed were investigated. The results show that the time duration of traffic light signal affects the traffic flow. Our model can be used to find the appropriated time duration to handle the traffic and can eventually reduce traffic jam. Additionally. Our result also presents an effect of the driving behaviour on the traffic flow. © Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.
URI: https://ir.swu.ac.th/jspui/handle/123456789/17364
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100746211&doi=10.1088%2f1742-6596%2f1719%2f1%2f012108&partnerID=40&md5=2f71aa4fdd12db179c032f9f47b965da
ISSN: 17426588
Appears in Collections:Scopus 1983-2021

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