International Journal on Science and Technology

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Traffic Clearance System for Ambulance in High Density Areas

Author(s) Mrs Padmini P, Mr. Ranganthan S, Haneish. S, Venkata Vamsi. B, Krishna Babu. S
Country India
Abstract Traffic congestion in urban areas poses serious obstacles to the unhindered flow of emergency vehicles, such as ambulances, that rely on immediate access to preserve lives. The current project proposes a new approach employing Internet of Things (IoT) technology and artificial intelligence (AI)-based object detection to
dynamically manage traffic and provide priority in real-time to ambulances. The system detects an incoming ambulance 500 meters away through camera-based object detection, which is YOLO (You Only Look Once) model-based, thus enabling the early detection of emergency vehicles. Upon detecting an ambulance, the system automatically initiates traffic signal control actions to provide a smooth way for the ambulance by opening the traffic light green and blocking cross-traffic. The purpose is to minimize response time, intensify traffic
management efficiency, and provide quicker emergency services, particularly in densely populated areas of cities. The system is based on the use of IoT devices placed on smart traffic lights and sensors, which help to facilitate free communication between the traffic management infrastructure and the ambulance. Automated path clearing in real-time ensures that the ambulances have a clear passage, even during rush hours, thereby maximizing emergency vehicle movement.
Keywords Ambulance Priority System, Traffic Management, Internet of Things (IoT), YOLO Object Detection, Smart Traffic Lights, Emergency Vehicle Clearance, Real-Time Automation, Urban Mobility, AI-Based Traffic Control, Intelligent Transportation Systems (ITS).
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 17, Issue 1, January-March 2026
Published On 2026-02-16
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