Real time traffic monitoring system

Project Title

Real time traffic monitoring system

Project Area of Specialization Artificial IntelligenceProject Summary

Due to the ever-growing number of vehicles and unpredictable mobility patterns of vehicles, traffic congestion can be a serious problem in a country of dense population. At pack up times of offices and schools, the roads usually get blocked due to an enormous number of vehicles on the road which leads to the waste of precious time of passengers as well as a waste of fuel.  We came up with the idea to provide a feasible solution to the users in finding traffic congestion on selected paths where traffic is highly congested during rush hours. The project focuses on finding recurrent and non-recurrent traffic congestion along with the estimated length of the congestion by computing its volume and estimated ending time of the congestion. The surveillance cameras installed at different locations will give input to our system of specific location on user request, which then counts number of vehicles such as cars, buses, trucks and motorbikes, and accident on roads using deep neural network algorithms such as yolo (for vehicle detection) and faster RCNN (for accident detection). The system will be controlled using an android application. The user will select a specific destination, the system will get the video and process it further to find traffic congestion

Project Objectives

1. In an accurate and affordable way, we will benefit to people in order to solve their problem by installing cameras at different locations where traffic is congested at selected rush hours of the day.
2. Drivers will reach their destinations in less time without facing unexpected traffic in their way.
3. Environment will be clean and there will be less chances of accidents due to traffic congestion.
4. The application will inform the user about the estimated time to end the congestion.
5. The application will inform the user about the specific area of traffic congestion.
6. If the congestion takes more time to end and the user don’t have enough time to wait, So the user can change the route to reach his destination.
7. The user will have knowledge of those areas where there is recurrent or non-recurrent traffic congestion so he will avoid using those routes.

Project Implementation Method

We will use Evolutionary method for development of our project because Evolutionary model is a combination of both iterative and incremental approach to software development. The Evolutionary model divides the development cycle of project into smaller, incremental waterfall models in which we are able to get access to the product at the end of each cycle.

Benefits of the Project

1. The application will inform the user about the time to end the congestion.
2. The application will inform the user about the specific area of traffic congestion.
3. If the congestion takes more time to end and the user don’t have enough time to wait, So the user can change the route to reach his destination.
4. The user will have knowledge of those areas where there is recurrent or non-recurrent traffic congestion so he will avoid using those routes.

Technical Details of Final Deliverable

we will deliever our system in form of android application.

our android application will be connected to our server using application programming interface.

the user will send request to our server and server will send response to our user. 

Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for People, Sustainable Cities and Communities, Climate ActionRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	80000
Camera with high quality sensors for image processing	Equipment	2	35000	70000
printing and stationary	Miscellaneous	2	5000	10000