Shashank Agnihotri
Abhishek Verma
Rini Gupta
Shashwat Yadav
Shivam Porwal
Sushil Kumar Yadav
- Assistant Professor Department of Electronics and Tele Communication Engineering, Axis Institute of Technology and Management, Kanpur Uttar Pradesh India
- Student Department of Electronics and Tele Communication Engineering, Axis Institute of Technology and Management, Kanpur Uttar Pradesh India
- Student Department of Electronics and Tele Communication Engineering, Axis Institute of Technology and Management, Kanpur Uttar Pradesh India
- Student Department of Electronics and Tele Communication Engineering, Axis Institute of Technology and Management, Kanpur Uttar Pradesh India
- Student Department of Electronics and Tele Communication Engineering, Axis Institute of Technology and Management, Kanpur Uttar Pradesh India
- Student Department of Electronics and Tele Communication Engineering, Axis Institute of Technology and Management, Kanpur Uttar Pradesh India
Abstract
The project’s goal is to create a density-based dynamic traffic light system in which the timing of the signal changes autonomously based on the density of traffic at any given junction. Traffic congestion is a major issue in most places around the globe, so it is time to transition from a more manual or set timer method to an automatic system with decision-making capabilities. The current traffic signaling system is time-based, which can make it wasteful if one route is more active than the others. This technology detects vehicle weight and generate signal using piezoelectric sensors. The traffic density is then computed based on the number of cars present, and traffic signals are changed to ensure improved traffic flow. The system utilizes density-based traffic management techniques and incorporates ambulance detection to facilitate the smooth movement of emergency vehicles on the road. When an ambulance is detected in the vicinity, the system automatically gives priority to the ambulance by adjusting traffic signals and clearing the path for the vehicle. The system has the potential to significantly reduce traffic congestion and improve emergency vehicle response times, thereby saving precious lives.
Keywords: autonomously, congestion, transition, vicinity, vehicle detection, traffic control.
[This article belongs to Journal of Microcontroller Engineering and Applications(jomea)]
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Journal of Microcontroller Engineering and Applications
| Volume | 11 |
| Issue | 01 |
| Received | May 7, 2024 |
| Accepted | May 18, 2024 |
| Published | June 4, 2024 |