2005•Unpublished venueRequires access

FUZZY LOGIC APPROACH FOR TRAFFIC SIGNALS CONTROL OF AN ISOLATED INTERSECTION

Mladen Antunović, Hrvoje Glavaš

Open publisher page 6 citations

Abstract

Intelligent control in road traffic intersections can be an alternative to a conventional control where duration of each signal phase is predetermined. In this article fuzzy logic approach for traffic signals control is considered and applied for an isolated intersection. Number of vehicles in each lane is measured with loop detectors. At the end of each phase these numbers are used as inputs to fuzzy controller. Fuzzy controller calculates the next signal phase duration. A case study conducted on a typical traffic density in an isolated intersection shows significant improvements in traffic flow, decreasing the total waiting time of vehicles.

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What this paper is about

Intelligent control in road traffic intersections can be an alternative to a conventional control where duration of each signal phase is predetermined. In this article fuzzy logic approach for traffic signals control is considered and applied for an isolated intersection. Number of vehicles in each lane is measured with loop detectors. At the end of each phase these numbers are used as inputs to fuzzy controller. Fuzzy controller calculates the next signal phase duration. A case study conducted on a typical traffic density in an isolated intersection shows significant improvements in traffic flow, decreasing the total waiting time of vehicles.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Intelligent control in road traffic intersections can be an alternative to a conventional control where duration of each signal phase is predetermined. In this article fuzzy logic approach for traffic signals control is considered and applied for an isolated intersection. Number of vehicles in each lane is measured with loop detectors. At the end of each phase these numbers are used as inputs to fuzzy controller. Fuzzy controller calculates the next signal phase duration. A case study conducted on a typical traffic density in an isolated intersection shows significant improvements in traffic flow, decreasing the total waiting time of vehicles.

Key concepts: Intersection (aeronautics), Fuzzy logic, Control theory (sociology), Controller (irrigation), Fuzzy control system, Traffic flow (computer networking), SIGNAL (programming language), Duration (music)

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