NDLI: A genetic-fuzzy control application to ramp metering and variable speed limit control

Content Provider	IEEE Xplore Digital Library
Author	Ghods, A.H. Kian, A.R. Tabibi, M.
Copyright Year	2007
Description	Author affiliation: Univ. of Tehran, Tehran (Ghods, A.H.; Kian, A.R.)
Abstract	This paper proposes a fuzzy control approach for the traffic-responsive ramp metering and variable speed limits control, in order to reduce the peak-hour congestion on freeways. The objective of control is to minimize the total time spent in the traffic network. To ease the calibration process of fuzzy controller and improve the overall performance of ramp metering and variable speed limits, genetic algorithm is applied for tuning the fuzzy sets parameters. In order to evaluate the controller's efficiency and applicability, a comparison is made with traditional ALINEA based controller and the fuzzy ramp metering only case by a case-study. The macroscopic traffic model METANET and its extension for dynamic speed limits are used for optimization procedure and presenting the simulation results. The paper concludes that genetic fuzzy control of ramp metering and speed limits is expected to enhance the performance of the freeway traffic network.
Starting Page	1723
Ending Page	1728
File Size	299016
Page Count	6
File Format	PDF
ISBN	9781424409907
DOI	10.1109/ICSMC.2007.4413998
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-07
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Traffic control Fuzzy control Communication system traffic control Electric breakdown Fuzzy logic Fuzzy sets Nonlinear control systems Velocity control Safety Fuzzy systems
Content Type	Text
Resource Type	Article

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