Smart City Gnosys

Smart city article details

Title	Real-Time Adaptive Traffic Control System With Emergency Vehicle Detection Based On Computer Vision And Sound Frequency Monitoring
ID_Doc	44292
Authors	Mishra V.; Shukla S.; Singh S.K.; Srivastava S.; Garg A.
Year	2025
Published	2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, RMKMATE 2025
DOI	http://dx.doi.org/10.1109/RMKMATE64874.2025.11042468
Abstract	Efficient traffic management in smart cities is crucial, especially for emergency vehicles. This paper presents a Real-Time Adaptive Traffic Control System that integrates YOLOv3 object detection algorithm to analyze real-time video streams from cameras, identifying vehicles and calculating traffic density based on vehicle count and lane occupancy achieved through NodeMCU1 microcontroller. Microphone INMP441 is used to transmit digital audio data via the I2S protocol to a NodeMCU2 microcontroller. The captured sound is processed using the Fast Fourier Transform (FFT) algorithm to isolate siren frequencies within 500-2000 Hz range, as per Indian government regulations. By combining visual detection and sound frequency monitoring, the system utilizes a dual-layer verification method which reduces false positives and optimize the traffic flow leading to be suitable for smart cities application. Experimental results show that emergency vehicle detection accuracy reached 95% under ideal conditions. At intersections, the system led to a 30% reduction in average waiting times and improved emergency vehicle response times by 40% as compared to conventional systems. However, I2S data errors significantly impacted system performance, reducing accuracy by 50%. Hence, the proposed work is a potential method to be deployed in smart cities for traffic control and emergency vehicle detection. © 2025 IEEE.
Author Keywords	adaptive traffic control; emergency vehicle detection; fast Fourier transform (FFT); smart cities; traffic density management; urban traffic optimization; YOLOv3 Algorithm

Similar Articles

Id	Similarity	Authors	Title	Published
3222	0.875	Shrivastava S.; Vinchurkar V.; Raghuram S.; Agarwal N.; Prasad P.H.	A Novel Approach For Emergency Vehicle Detection	2023 IEEE 20th India Council International Conference, INDICON 2023 (2023)
62130	0.869	Vijay Ganesh P.; Sam Joshua V.; Saro Murugan L.; Mahalakshmi S.	Yolov9 Driven Internet Of Things Enabled Sustainable Solution For Intelligent Traffic Light Management System For Emergency Vehicles In Large Scale Urban Traffic	2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Proceedings (2025)
18332	0.865	Sangeetha R.G.; Hemanth C.; Dipesh R.; Samriddhi K.; Venetha S.; Abbas Alif M.; Arjun S.; S V.K.	Density Based Real-Time Smart Traffic Management System Along With Emergency Vehicle Detection For Smart Cities	International Journal of Intelligent Transportation Systems Research, 22, 2 (2024)
4541	0.863	Ashkanani M.; AlAjmi A.; Alhayyan A.; Esmael Z.; AlBedaiwi M.; Nadeem M.	A Self-Adaptive Traffic Signal System Integrating Real-Time Vehicle Detection And License Plate Recognition For Enhanced Traffic Management	Inventions, 10, 1 (2025)
6473	0.861	Sai Srujan Reddy P.; Naveen Raj B.U.; Jose N.T.; Belwal M.	Advanced Adaptive Traffic Management System For Urban Environments	3rd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025 (2025)
50556	0.859	Shabbir A.; Cheema A.N.; Ullah I.; Almanjahie I.M.; Alshahrani F.	Smart City Traffic Management: Acoustic-Based Vehicle Detection Using Stacking-Based Ensemble Deep Learning Approach	IEEE Access, 12 (2024)
6989	0.859	Kalai Selvi T.; Ajaykannan R.; Boomika M.; Jeevitha C.; Dinesh R.	Ai-Based Dynamic Traffic Signal Control	Proceedings of 5th International Conference on Pervasive Computing and Social Networking, ICPCSN 2025 (2025)
22211	0.857	Sreenivasulu G.; Padmavathi T.; Nirisha A.; Prakash D.B.; Oudah M.Y.; Saikumar K.	Efficiency And Precision: Control Systems Empowered By Smart Image Processing	2023 3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023 (2023)
7402	0.856	Ghosh A.; Sabuj M.S.; Sonet H.H.; Shatabda S.; Farid D.M.	An Adaptive Video-Based Vehicle Detection, Classification, Counting, And Speed-Measurement System For Real-Time Traffic Data Collection	Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019 (2019)
6715	0.855	Priya K.; Priyadharshini K.; Krishnan R.S.; Raj J.R.F.; Settu I.J.; Srinivasan A.	Advancing Urban Traffic Control With Iot And Deep Learning: A Yolov8 And Lstm-Based Adaptive Signal System	Proceedings of the International Conference on Intelligent Computing and Control Systems, ICICCS 2025 (2025)