Real Time Intelligent Traffic Light System-Reference-Cited by-同舟云学术

Real Time Intelligent Traffic Light System

Published:2020-02-24 Issue: Volume:19 Page:20-25
ISSN:1109-2777
Container-title:WSEAS TRANSACTIONS ON SYSTEMS
language:en
Short-container-title:

Author:

Prasad Vijay¹,Uwais Ali¹,Assaf Mansour H.¹,Das Sunil R.²,Biswas Satyendra N.³

Affiliation:

1. School of Engineering & Physics, The University of the South Pacific, Suva, FIJI ISLANDS

2. Department of Computer Science, College of Arts and Sciences, Troy University, Montgomery, AL 36103 USA, also with School of Information Technology and Engineering, Faculty of Engineering, University of Ottawa, Ottawa, ON K1N 6N5, CANADA

3. Department of Electrical and Electronic Engineering Ahsanullah University of Science and Technology, Dhaka 1208, BANGLADESH

Abstract

with the increasing vehicle ratio on our roads, a lot of factors such as pollution, time constraints and environmental factors need to be addressed. One main issue to be addressed is traffic congestion during the peak hours. This issue affects drivers in numerous ways including loss of productive working hours by lining up in traffic queue. It also leads to loss of natural resource such as fossil fuel used by the vehicle engine while the car is running but lining up in traffic. In this paper, we propose an intelligent sensor-based traffic light control system. To analyze and compare performance, the system was implemented in MATLAB/SIMULINK and simulation results demonstrate the feasibility and high accuracy of the proposed intelligent traffic light system.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Computer Science Applications,Control and Systems Engineering

Reference17 articles.

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2. S. D. N. N. S. M. Ashwini Basavaraju, “VEHICLE DENSITY SENSOR SYSTEM TO MANAGE TRAFFIC,” International Journal of Research in Engineering and Technology , vol. 3, no. 3, 2014.

3. A. K. B. B. M. I. A. A. A. R. Faruk Bin Poyen, “Density based traffic control,” International Journal of Advanced Engineering, Management and Science, vol. 2, no. 8, 2016.

4. T. M. Koji Hayama, “A FAR INFRARED VEHICLE SENSOR FOR A TRAFFIC SIGNAL CONTROL,” ITS Development Department, Sumitomo Electric Industries, Ltd., Osaka, Japan.

5. R. Burnett, “MaxBotix,” 27 November 2017. [Online]. Available: https://www.maxbotix.com/articles/ultrasonic-or-infrared-sensors.htm. [Accessed 4 April 2019].

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