Smart Traffic Signal Controlling System
The increase in population is causing an increase in vehicles traffic on the road. Poor and less efficient traffic management signals are the root cause of massive congestion and road accidents. This massive mismanaged transportation system is the root cause of many other dysfunctional incidents. Th
Project Title
Smart Traffic Signal Controlling System
Project Area of Specialization
Project Summary
The increase in population is causing an increase in vehicles traffic on the road. Poor and less efficient traffic management signals are the root cause of massive congestion and road accidents. This massive mismanaged transportation system is the root cause of many other dysfunctional incidents. The main protagonist of these traffic congestions is the ambulances, firefighters, police mobiles, and other various departments needed for emergency purposes. As now timer system is now being used at traffic signals that indicates the time for which the traffic signal will turn red or green. This improvement was a bit helpful but when there is no traffic on the road and people on the other lane have to wait till the timer completes and their signal turns green. This unnecessary wait creates frustration. A more advanced and intelligent traffic system was in need to improve the system's efficiency.
Project Objectives
In the past years, technological advancement has proved itself to be a remarkable change in the world. It has provided extensive and appealing solutions in the modern world. This proposal shares the idea related to a real-world problem. As the world population is increasing with the passage of time and more and more people are need of personal transport for easy and safe travels this concept has increased the number of vehicles and has a huge impact on the traffic control system. The simple traffic systems used are far most outdated and are time-consuming in this modern era. Excessive road traffic causes noise pollution and environmental damage. The reason behind this is the mismanagement of the poor traffic control systems.
As the cities are growing fast and rural areas are also becoming advanced and more civilized the need for a more advanced and vast traffic system has been developed. A person can now avoid traffic by looking at Google maps to find the best route to their destination with less traffic and congestion. But the main factor is how to avoid this congestion on the road for timely and less frustrating travel for the people. This modern Artificial Intelligence traffic system will manage the road traffic based on the ratio of the vehicle on the road. This invention will prove itself to be a remarkable addition to the traffic system
Project Implementation Method
The first step of the project is to plan the overall project processes. The second step is to collect all of the software and hardware requirements of the project. For this project a machine learning model will be used for decision making. Data of roads with various ratio of traffic will be used to train the deep learning model. A large amount of data will be used for this, because it will improve the results and help the system to be efficient in decision making process.
A camera inter-connected with a raspberry pi with integrated system will be installed within the centre of the road. The camera will fetch the image and will send it to our cloud system. The pre-trained model will them analyze the image send by the camera and will assign a time duration for a traffic signal to be green based on the ration of the traffic being detected. It will also detect if there is any vehicle which provides emergency services and will prioritize it. This system is not just limited to such features. There might me variations and changes with respect to the development process.
Benefits of the Project
Some of the most vibrant features of this intelligent traffic system are listed below:
• Measuring the traffic ratio and assigning counter accordingly.
• Prioritizing Ambulances, Police vehicles, Firefighters, and other emergency departments.
• Improved traffic performance and less congestion.
Technical Details of Final Deliverable
The following are some tools (hardware and software) that will be used for the development of the project:
Software:
• Python (Keras, Tensorflow, Scipy, Numpy, OpenCV etc) for AI model generation and machine learning solutions.
• Google Cloud Platform for training and dataset.
• Edge Impulse for machine learning and algorithms in Raspberry Pi
Hardware:
• Raspberry Pi
• Camera
• LED Lights
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry pi 4 8gb | Equipment | 2 | 4000 | 8000 |
| Led lights | Equipment | 12 | 100 | 1200 |
| Rc cars | Miscellaneous | 10 | 1000 | 10000 |
| Wires board | Equipment | 10 | 100 | 1000 |
| Total in (Rs) | 20200 |
If you need this project, please contact me on contact@adikhanofficial.com
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