An intelligent highway tollgate queue selector for improving server utilization and vehicle waiting time

Elmer R. Magsino, Wang Hei Ho

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings - 2016 IEEE Region 10 Symposium, TENSYMP 2016
PublisherIEEE
Pages271-276
Number of pages6
ISBN (Electronic)9781509009312
DOIs
Publication statusPublished - 22 Jul 2016
Event2016 IEEE Region 10 Symposium, TENSYMP 2016 - The Sanur Paradise Plaza Convention Centre, Bali, Indonesia
Duration: 9 May 201611 May 2016

Conference

Conference2016 IEEE Region 10 Symposium, TENSYMP 2016
CountryIndonesia
CityBali
Period9/05/1611/05/16

Keywords

  • fuzzy logic
  • queue selector
  • server utilization
  • Tollgate system
  • vehicle waiting time

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications

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