Publication: A cellular automation traffic flow model for traffic light signal management in intersection system with and without random driving behaviour
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Issued Date
2021
Resource Type
Language
eng
File Type
application/pdf
ISSN
17426588
Other identifier(s)
2-s2.0-85100746211
Rights Holder(s)
Scopus
Bibliographic Citation
Journal of Physics: Conference Series. Vol 1719, No.1 (2021)
Suggested Citation
Manomairoj S., Chayanuwong T., Hiransirawat S., Disrattakit J., Disrattakit P. A cellular automation traffic flow model for traffic light signal management in intersection system with and without random driving behaviour. Journal of Physics: Conference Series. Vol 1719, No.1 (2021). doi:10.1088/1742-6596/1719/1/012108 Retrieved from: https://hdl.handle.net/20.500.14740/7899
Abstract
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.