Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66139
Title: An intelligent highway tollgate queue selector for improving server utilization and vehicle waiting time
Authors: Magsino, ER
Ho, IWH 
Keywords: Fuzzy logic
Queue selector
Server utilization
Tollgate system
Vehicle waiting time
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Proceedings - 2016 IEEE Region 10 Symposium, TENSYMP 2016, 2016, 7519417, p. 271-276 How to cite?
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.
Description: 2016 IEEE Region 10 Symposium, TENSYMP 2016, Indonesia, 9-11 May 2016
URI: http://hdl.handle.net/10397/66139
ISBN: 9781509009312
DOI: 10.1109/TENCONSpring.2016.7519417
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