Smart Deep learning based traffic congestion prediction and management system
our project aims to predict traffic flow on minor roads so that people can check traffic status before planning their trips and it will also help to regulate the traffic load.
2025-06-28 16:35:14 - Adil Khan
Smart Deep learning based traffic congestion prediction and management system
Project Area of Specialization Artificial IntelligenceProject Summaryour project aims to predict traffic flow on minor roads so that people can check traffic status before planning their trips and it will also help to regulate the traffic load.
Project ObjectivesSystem will allow signals to operate according to the number of cars on the road and will help user to find the traffic flow rate.
Project Implementation Methodby using tencer flow frame work for deep learning via using python to make predictions on the obtained data set for traffic prediction
Benefits of the ProjectOur objective is to reduce the traffic problem on the minor roads of twin cities. To develop a DL based safe secure system for the audience so that people can re route so that they can avoid traffic jam and opt another route.
Technical Details of Final DeliverableBy using sensors and iots we'll be able to collect statistical data from the road about vehicles and will also be able to count number of cars and on the basis of collected statistical data we'll make predictions
Final Deliverable of the Project Hardware SystemCore Industry TransportationOther Industries IT Core Technology Artificial Intelligence(AI)Other Technologies Artificial Intelligence(AI)Sustainable Development Goals Sustainable Cities and CommunitiesRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 66000 | |||
| Arduino Mega 2560 | Equipment | 4 | 5000 | 20000 |
| 9MP Deep Sense Traffic Camera Dahua ITC952-RU2D-L License Plate Recogn | Equipment | 1 | 30000 | 30000 |
| Infrared sensors | Equipment | 8 | 2000 | 16000 |