Traffic Density Based Light Control System
 
Inam Ullah Khan
Center for Emerging Sciences Engineering & Technology, Pakistan

Muhammad Umar Khan
Center for Emerging Sciences Engineering & Technology, Pakistan

Hafiz Muhammmad Salman
Center for Emerging Sciences Engineering & Technology, Pakistan

Syed Bilal Hussain Shah
School of information and communication engineering Dalian Univerrsity of technology P.R China
 

Abstract: 

In present, vehicular traffic is increasing throughout the world, especially in large urban areas. As the number of road user’s increase constantly and current resources & infrastructures being limited; a smart traffic control will become a very important issue in the future. These needs have led to an ever increasing demand for an “intelligent” traffic control system. Therefore, optimization of traffic control to better accommodate this increasing demand is needed. Our project will demonstrate the optimization of traffic lights in a city using wireless sensors. Traffic light optimization is a tough problem. With multiple junctions, the complexity increases as the state of one light node influences the flow of traffic towards many other nodes. We proposed a traffic light controller that allows us to control and study different situations of traffic density. We sense the density of traffic using infra-red sensors. The key role behind the implementation of the “Traffic density based light control system” is to make use of an AT89C51 controller which performs processing of the real time data provided by the infra -red sensors, eventually controlling the traffic flow via the LED traffic lights.

 

 

Journal of American Academic Research 

© 2019  Copyright by Journal of American Academic Research. All rights reserved.

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