Smart Traffic Control for Emergency Vehicles using RF Sensors

Author(s)	M. Amaravathi, K. Lakshmi, B. Meghana, C. Kalpana, K. Shalini
Country	India
Abstract	Traffic management of emergency vehicles is needed in the urban centres due to the fact that any emergency responding to a delay might be very detrimental. To allocate emergency vehicle travel over crossings, this paper provides a new machine learning-based emergent traffic recovery system of an emergency vehicle. The proposed system involves application of visual sensors, light-emitting diodes, buzzers, and Wi-Fi modules to allow emergency cars to clear rapidly and efficiently. In ESP 32 module, a sensor sends a signal to the module when an emergency vehicle is approaching the first intersection. To create space to the emergency vehicle, the module then switches the LED traffic lights to green and acts as alert to the other vehicles by sounding a buzzer. Once the vehicle is detected as an emergency the system applies a blue light to the traffic signal to make it even more visible to the traffic. To prevent wasting time, the NodeMCU ESP8266 module will also connect to a Wi-Fi module at the second cross over and ensure that the change of the red light of the traffic lights precedes the arrival of the emergency vehicle.
Keywords	Multi Stream, Fusion, Traffic Prediction.
Discipline	Engineering
Published In	Volume 4, Issue 2, March-April 2026
Published On	2026-04-04

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Advanced International Journal of Multidisciplinary Research