An Embedded Fuzzy Logic Based Application for Density Traffic Control System

International Journal of artificial intelligence research

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Field Value
Title An Embedded Fuzzy Logic Based Application for Density Traffic Control System
Creator Adewale, Ajao Lukman
Jumoke, Ajao Falilat
Adegboye, Mutiu
Ismail, Abideen
Subject Computer Engineering; Artificial Intelligence; Embedded System, Internet of Thing, FPGA
Approximate quantity; Automatic traffic light; Emergency; Fuzzy logic; Infrared sensor; Pedestrians; Siren detection system
Description The control of density traffic at cross junction road usually manned by human efforts or implementation of automatic traffic light system. This system seem and proves to be inefficient with some challenges. The major constraints of this traffic control are as a result of the inability of most traffic control systems to assign appropriate waiting time for vehicles based on the lane density. Also with little or no consideration for pedestrians, emergency and security agents priorities. In view of this, an intelligent density traffic control system using  (fuzzy logic) which is capable of providing priority to the road users based on the density and emergency situations was developed and presented in this paper. This system will obtain the approximate amount of vehicle and presence of pedestrians respectfully on each lane with help of Infrared Sensors (IR) and siren detection system for emergency and security road users. The working principle of this system depending on the logic inputs rules given into the processing unit by the (sensors, S1 and S2) which helps the system to generates a timing sequence that best suit the number of vehicles and pedestrians available on the lane at point in time.
Publisher STMIK Dharma Wacana
Contributor (Federal University of Technology Minna
Department of Computer Engineering)
Date 2018-06-01
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Source International Journal of Artificial Intelligence Research; Vol 2, No 1 (2018): June; 7 - 16
Language eng
Rights Copyright (c) 2018 International Journal of Artificial Intelligence Research

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