Modeling and Implementation of a Density-Based Traffic Management System via Programmable Logic Controller

Syed Saad Ali; Shujaat Ali; Saqib Munawwar; Fasih Ahmed; M. Nawaz Rahim; M. Sohail Tanoli; M. Kamran; Perfshan Erum; Aisha Ghufran

Authors

Syed Saad Ali Department of Electrical Engineering, Nazeer Hussain University, Karachi, Sindh, Pakistan
Shujaat Ali School of Electrical and Information Engineering, Tianjin University China
Saqib Munawwar Department of Electrical Engineering, Nazeer Hussain University, Karachi, Sindh, Pakistan
Fasih Ahmed Department of Electrical Engineering, Nazeer Hussain University, Karachi, Sindh, Pakistan
M. Nawaz Rahim Engineering Department, University of Bologna, Bologna, Italy
M. Sohail Tanoli Department of Electrical Engineering, Nazeer Hussain University, Karachi, Sindh, Pakistan
M. Kamran Department of Electrical Engineering, Nazeer Hussain University, Karachi, Sindh, Pakistan
Perfshan Erum Government girls primary school Ayoub Goth, Gulshan Town, East Karachi
Aisha Ghufran Department of Electrical Engineering, Nazeer Hussain University, Karachi, Sindh, Pakistan

Keywords:

Modelling, Density, Logic Controller, Risk awareness, Traffic management

Abstract

Traditional traffic signal systems face challenges in efficiently managing traffic when a large number of vehicles move to different lanes. To address this issue, a programmable logic controller (PLC) has been applied Density-Based Smart Traffic Control system using PLC (Programmable logic controller). This work develops a smart traffic control system to keep an eye on the vehicle density at a 4-way junction. Using specific functions, calculations, and logical operations, the system program calculates the traffic density in each lane and transmits data to make automatic decisions regarding traffic signal priorities. The proposed system ensures that the traffic control system adjusts to real-time traffic conditions on the road. By utilizing a PLC (programmable logic controller), all sensors continuously check the position of each lane and perform logical operations. These operations control lanes that require immediate attention and service. Next, the system program is executed to generate output signals to control the traffic lights on the poles, facilitating the switching of red, yellow, or green lights. The duration of the green light, which indicates the ON time for each lane of the intersection, is dynamically adjusted based on the priorities calculated by the system. In summary, the execution of the density-based smart traffic control system with a programmable logic controller enables a more responsive and adaptive approach to traffic management, proficiently allocating priority based on real-time traffic situations at the intersection. This study addresses the challenges of traffic flow with improved safety and reduced congestion at busy junctions.

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