Real time Traffic Monitoring and Smart Controlling System to Ensure Smooth Traffic Flow

In this innovative and automotive world everything is getting computerized. Beginning from home apparatuses to following to the industrial manufacturing, everything is going to be smart. Traffic control system is one of major problematic issues in all over the world. In conventional traffic control

2025-06-28 16:34:44 - Adil Khan

Project Title

Real time Traffic Monitoring and Smart Controlling System to Ensure Smooth Traffic Flow

Project Area of Specialization Artificial IntelligenceProject Summary

In this innovative and automotive world everything is getting computerized. Beginning from home apparatuses to following to the industrial manufacturing, everything is going to be smart. Traffic control system is one of major problematic issues in all over the world. In conventional traffic control system every signal having fix time mostly 60 seconds on each of the road at a regular interval independent of traffic on a particular road, either the traffic is low or dense. This conventional traffic light control systems used everywhere in the world to monitor and control the flow of vehicles through the junctions of many roads. This Project idea also a step forward towards the smart city. In which the traffic is controlled by a microcontroller. The cameras are installed by which the working load of traffic wardens is shared. Our project is able to work on real time traffic monitoring and controlling using programming algorithms and reduce human working. This system also having synchronization of multiple traffic light systems at adjacent intersections and various parameters were involved. This system based on Raspberry pi microcontroller and based on three main functions. Controlling the flow of traffic, providing the path for emergency vehicles and also show the divergence plan when the traffic is high on any particular side of the road. The mutual interference between adjacent traffic light systems makes him smarter and leads to reduction in traffic jam and congestions. The system overcomes the major traffic issues and help ease in the vehicle flow. Moreover, a display device shows the congestion alert system on the previous junctions on the same road.

Project Objectives Project Implementation Method

Our system use Raspberry-pi model 4 using OpenCV library. System is design to get images from webcam then detects the vehicle and count them using OpenCV background segmentation algorithms (Gaussians Segmenter). Each vehicle denotes by a segmented rectangular shape. By counting the vehicles the Raspberry-pi process further and compare the traffic density on all the roads and change the time laps for the roads with heavy traffic and low traffic. If there is heavy traffic on a road system is capable of showing a divergence plan on the previous traffic section.

Benefits of the Project Technical Details of Final Deliverable

The final deliverable form of our project will be a prorotype model consisting of Raspberry-pi model 4 interfaced with A4tech webcam for monitoring the traffic and control the traffic junction smartly by monitoring real time scenarios of traffic. LCD display also gives diversion alerts on the previous section in case heavy traffic on any junction. Light poles also present on the junction having colourful traffic lights. Power supply also connected to give supply to the whole hardware components.

Final Deliverable of the Project Hardware SystemCore Industry TransportationOther Industries Security Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable Development Goals Decent Work and Economic Growth, Industry, Innovation and InfrastructureRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 55340
Raspberry-pi model 4 Equipment11285012850
Micro SD card 32GB Equipment116501650
A4Tech WebCam Equipment4480019200
Relay Module Equipment26501300
LED Light Bulb Equipment24601440
Pi LCD 5 inch Equipment180008000
Hardware Base Miscellaneous 160006000
Other Material and Tools Miscellaneous 125002500
Connecting Wires Miscellaneous 2260520
5V DC Power Supply Equipment1780780
Raspberry-pi casing and Adapter Equipment111001100

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