Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107266
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical and Electronic Engineering | - |
dc.creator | Magsino, ER | en_US |
dc.creator | Ho, IWH | en_US |
dc.date.accessioned | 2024-06-13T01:05:00Z | - |
dc.date.available | 2024-06-13T01:05:00Z | - |
dc.identifier.isbn | 978-150900931-2 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/107266 | - |
dc.description | 2016 IEEE Region 10 Symposium (TENSYMP), 09-11 May 2016, Bali, Indonesia | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | ©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication E. R. Magsino and I. W. H. Ho, "An intelligent highway tollgate queue selector for improving server utilization and vehicle waiting time," 2016 IEEE Region 10 Symposium (TENSYMP), Bali, Indonesia, 2016, pp. 271-276 is available at https://doi.org/10.1109/TENCONSpring.2016.7519417. | en_US |
dc.subject | Fuzzy logic | en_US |
dc.subject | Queue selector | en_US |
dc.subject | Server utilization | en_US |
dc.subject | Tollgate system | en_US |
dc.subject | Vehicle waiting time | en_US |
dc.title | An intelligent highway tollgate queue selector for improving server utilization and vehicle waiting time | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 271 | en_US |
dc.identifier.epage | 276 | en_US |
dc.identifier.doi | 10.1109/TENCONSpring.2016.7519417 | en_US |
dcterms.abstract | On a highway setup, a vehicle will most probably use a tollgate server that has the shortest queue thinking that it is the fastest exit. In this paper, an intelligent highway tollgate queue selector using fuzzy logic is proposed and simulated in Matlab SimEvents. Its aim is to automatically select the most appropriate tollgate server for a vehicle to ensure the shortest waiting time while trying to balance the server's utilization. Two policies are considered in this study, namely: (1) Shortest Queue (SQ) and (2) Fuzzy Logic-Controlled Queue (FLCQ). Results indicate that the FLCQ policies reduce the average waiting time and queue length by approximately 50% of those obtained from the SQ policy while guaranteeing an equal utilization among available servers. These findings are valid for light and heavy, homogeneous and nonhomogeneous vehicle arrivals. To further improve the decision making of the fuzzy logic controller, traffic flow information collected by remote road-side units can be exploited to allow the control of various system parameters (e.g., service time) in advance. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | In the Proceedings of 2016 IEEE Region 10 Symposium (TENSYMP), 09-11 May 2016, Bali, Indonesia, p. 271-276 | en_US |
dcterms.issued | 2016 | - |
dc.identifier.scopus | 2-s2.0-84992036617 | - |
dc.relation.conference | IEEE Region 10 Symposium [TENSYMP] | - |
dc.description.validate | 202404 bckw | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EIE-0844 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 9581877 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Ho_Intelligent_Highway_Tollgate.pdf | Pre-Published version | 1.78 MB | Adobe PDF | View/Open |
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