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Shashank Agnihotri, Abhishek Verma, Rini Gupta, Shashwat Yadav, Shivam Porwal, Sushil Kumar Yadav
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- Assistant Professor, Student, Student, Student, Student, Student Department of Electronics and Tele Communication Engineering, Axis Institute of Technology and Management, Kanpur, Department of Electronics and Tele Communication Engineering, Axis Institute of Technology and Management, Kanpur, Department of Electronics and Tele Communication Engineering, Axis Institute of Technology and Management, Kanpur, Department of Electronics and Tele Communication Engineering, Axis Institute of Technology and Management, Kanpur, Department of Electronics and Tele Communication Engineering, Axis Institute of Technology and Management, Kanpur, Department of Electronics and Tele Communication Engineering, Axis Institute of Technology and Management, Kanpur Uttar Pradesh, Uttar Pradesh, Uttar Pradesh, Uttar Pradesh, Uttar Pradesh, Uttar Pradesh India, India, India, India, India, India
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Abstract
nThe 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.
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Keywords: autonomously, congestion, transition, vicinity, vehicle detection, traffic control.
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Microcontroller Engineering and Applications(jomea)]
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References
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- Faruk Bin Poyen Phd, Amit kumar Bhakta, “Density Based Traffic Control,” International Journal of Advanced Engineering, Management and Science (IJAEMS), Vol-2, Issue-8, August 2016.
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- Mohammad Ali, Md Adnan Faisal Hossain, Mumtahina Islam Sukanya, Rajat Chakraborty, “Real-time Density-Based Dynamic Traffic Light Controller Using FPGA,” In Proc. IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) ’12, 2021.
- Praveen Bajpai, Prateek Kr. Rai, Saptesh Kr. Mishra, Sumit Gupta, “Piezoelectric Energy Generation from Vehicle Traffic,” International Research Journal of Engineering and Technology (IRJET), vol. 6, no. 11,Nov., pp. 2395-0072, 2019
- Naveen kumar, Syed Mohammad Shoaib, “An Intelligent Traffic Light System Based on Piezo- Electric Sensors,” International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 5, Jan., pp. 2277-3878, 2020
- Mohammed Fayaz, Pooja K, Pranitha P Reddy, Swathi T, “Density based Traffic Control System with Ambulance Detection,” International Journal of Engineering Research & Technology (IJERT), 7, no. 8, pp. 2278-0181, 2019
- Adil Hilmani , Abderrahim Maizate, and Larbi Hassouni, “Automated Real-Time Intelligent Traffic Control System for Smart Cities Using Wireless Sensor Networks,” RITM-ESTC/CED-ENSEM, University Hassan II, Km 7, El Jadida Street, B.P. 8012 Oasis Casablanca, Morocco
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Journal of Microcontroller Engineering and Applications
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| Volume | 11 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | May 7, 2024 | |
| Accepted | May 18, 2024 | |
| Published | June 4, 2024 |
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