Smart Density Based Traffic Light Control System

Project Title

Smart Density Based Traffic Light Control System

Project Area of Specialization Artificial IntelligenceProject Summary

Our project focuses on the reduction of traffic congestion through creating efficient traffic flow. The efficient flow is achieved by reducing time spent on the red light and decreasing the wasted time on green light while the road is empty. A smart traffic light control system works on the bases of reducing traffic congestions and delays on a road junction. This project uses image processing to calculate the traffic density and set different timers for the traffic signals to create a traffic system that reduces delays. The project works towards the betterment of society by reducing the traffic congestion through creating efficient traffic flow.

Project Objectives

Our project aims to reduce the traffic congestion in peak hours by efficiently increasing traffic flow. It reduces unnecessary waiting time on signals. It optimizes the utlization of traffic signals and eliminates the need of manually handle traffic through human labor. It also seeks to decrease the time for emergency vehicles to wait in the signal and give them higher priority. It aims to decrease dependency on fixed signal time. Our project also strives to reduce human stress level and restrain them from breaking traffic rules.

Project Implementation Method

This efficient traffic flow is achieved by creating a system of image acquisition and image recognition that can differentiate the different levels of traffic, by using cameras, and make decision based on the difference between the pictures. The calculation of the traffic density through Image processing using a Jetson Nano developers kit Board while the decision making and traffic light controlling is done using an Arduino Mega board which changes the leds at appropriate time and changes the timer on the display depending on the density of traffic.

Benefits of the Project

Some of the benefits provided by our projects are, the reduction of traffic congestion, decreases in time waisted on traffic signals, decrease in strees that a driver faces, decrease in carbon emissions, reduction in transportation cost of goods, decrease in accidents, deacrese in traffic law breaking and low risk of fatal injuries due to delay in reaching medical care.

Technical Details of Final Deliverable

This project is focused on creating a model that can be used to show real life usage of image processing techniques to reduce the time spent on the signal by continuosly adjusting the timer, in real time based on the density present, to provide an efficient traffic signal. This project will use an jetson nano as a controller that will process the images taken from the camera and find out the traffic density and an arduino mega controller that will control the traffic signal modules and there respective timer displays to adjust the time based on the density found from the jetson nano controller.

Final Deliverable of the Project Hardware SystemCore Industry TransportationOther Industries Energy Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable Development Goals Sustainable Cities and Communities, Responsible Consumption and Production, Climate ActionRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	65900
Jetson nano developers kit	Equipment	1	34000	34000
Arduino mega	Equipment	1	4200	4200
Led traffic module	Equipment	4	100	400
0.9 OLED display	Equipment	4	550	2200
I2c multiplexer	Equipment	1	400	400
Pi camera	Equipment	1	9000	9000
Metal gear servo motor	Equipment	1	800	800
Base material	Equipment	1	9000	9000
Car Model pack	Equipment	2	2000	4000
Spray paint	Miscellaneous	6	150	900
Wires	Miscellaneous	1	600	600
PVC pipes, glue	Miscellaneous	1	400	400