A Two-Stage Fuzzy Logic Controller for Traffic Signals
This paper presents the design and evaluation of a fuzzy logic traffic signal controller for an isolated intersection. The controller is designed to be responsive to real-time traffic demands. The fuzzy controller uses vehicle loop detectors, placed upstream of the intersection on each approach, to measure approach flows and estimate queues. These data are used to decide, at regular time intervals, whether to extend or terminate the current signal phase. These decisions are made using a two-stage fuzzy logic procedure. In the first stage, observed approach traffic flows are used to estimate relative traffic intensities in the competing approaches. These traffic intensities are then used in the second stage to determine whether the current signal phase should be extended or terminated. The performance of this controller is compared to that of a traffic-actuated controller for different traffic conditions on a simulated four-approach intersection.
Adaptive control systems; Computer simulation; Fuzzy logic; Intersection; Roads — Interchanges and intersections; Traffic engineering; Traffic signal control; Traffic signs and signals — Control systems
Acoustics, Dynamics, and Controls | Applied Mathematics | Civil Engineering | Computer-Aided Engineering and Design | Controls and Control Theory | Control Theory | Electrical and Computer Engineering | Mechanical Engineering
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Mohamed B. Trabia, Mohamed S. Kaseko, Murali Ande, A two-stage fuzzy logic controller for traffic signals, Transportation Research Part C: Emerging Technologies, Volume 7, Issue 6, December 1999, Pages 353-367, ISSN 0968-090X, 10.1016/S0968-090X(99)00026-1. (http://www.sciencedirect.com/science/article/pii/S0968090X99000261)
Kaseko, M. S.,
A Two-Stage Fuzzy Logic Controller for Traffic Signals.
Transportation Research Part C: Emerging Technologies, 7(6),