Please use this identifier to cite or link to this item:
http://dspace.uniten.edu.my/jspui/handle/123456789/8293
DC Field | Value | Language |
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dc.contributor.author | Turky, A.M. | |
dc.contributor.author | Ahmad, M.S. | |
dc.contributor.author | Yusoff, M.Z.M. | |
dc.contributor.author | Hammad, B.T. | |
dc.date.accessioned | 2018-02-15T02:43:34Z | - |
dc.date.available | 2018-02-15T02:43:34Z | - |
dc.date.issued | 2009 | |
dc.identifier.uri | http://dspace.uniten.edu.my/jspui/handle/123456789/8293 | - |
dc.description.abstract | In this paper, we explore the use of genetic algorithm and implementing the technology to improve the performance of traffic light and pedestrian crossing control in a four-way, two-lane traffic junction. The algorithm resolves the limitations of traditional fixed-time control for passing vehicles and pedestrians. It employs a dynamic system to control the traffic light and pedestrian crossing that monitors two sets of parameters: the vehicle and pedestrian queues behind a red light and the number of vehicles and pedestrians that passes through a green light. The algorithm dynamically optimizes the red and green times to control the flow of both the vehicles and the pedestrians. Performance comparisons between the genetic algorithm controller and a fixed-time controller reveal that the genetic algorithm controller performs significantly better. © 2009 Springer Berlin Heidelberg. | |
dc.title | Using genetic algorithm for traffic light control system with a pedestrian crossing | |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | CCI Scholarly Publication |
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