Design and Implementation of a Smart Traffic Light Management System Controlled Wirelessly by Arduino

Abdul Hadi M Alaidi,Ibrahim Nasir Mahmood,Ibtisam A Aljazaery,Haider Th Salim Alrikabi,Faisal Theyab Abed

doi:10.3991/ijim.v14i07.12823

Abdul Hadi M Alaidi, Ibrahim Nasir Mahmood + Show 3 more

Open Access

https://doi.org/10.3991/ijim.v14i07.12823

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Abstract

<p>In Iraq, the number of people who own vehicles has grown up significantly. However, this increment in vehicles number doesn’t accomplished by a study of roads and intersections expansion. As a result, traffic jams became a big problem that led to long waiting time at each intersection, increased car accidents, pollution, and economic problems. To solve this problem a Smart Traffic Light System (STLS) has been implemented using Arduino, camera, IR sensor to overcome traffic jams problems in Kut city – Iraq.</p>

Highlights

Nowadays and due to the significant amount of time spent waiting at each street intersection in Iraq, the need for a smart traffic light system has been raised
The increased number of vehicles that imported to Iraq especially after 2003 led to huge traffic jams as the existing road grid never got upgraded or enhanced to handle the increased number of vehicles passing through Iraq roads [1-4]. All of this caused the issue of uncontrolled congested street intersections which in return resulted in very high waiting time at street intersections as well as increased number of motor vehicles accidents
Using a IR sensor[17-19], our smart traffic light system will be implemented by installing magnetometer sensor at 30-meter distance from the intersection at each side

Summary

Introduction

Nowadays and due to the significant amount of time spent waiting at each street intersection in Iraq, the need for a smart traffic light system has been raised. In order to decrease the waiting time at each intersection and to avoid any accidents, we thought about controlling the traffic through a smart traffic light system[5-9]. Our system implementation is designed based on an idea sensing the current number of vehicles at each side of an intersection and allocate the green light when a specific vehicles count is reached.

Results

Conclusion