1. AUTOMATED DENSITY BASED TRAFFIC MANAGEMENT SYSTEM WITH EMERGENCY VEHICLE DETECTION

Authors -  Vignesh E, Vishal Ramarajan, Saran.R.K, Valarmathy.M

Abstract : The problem of urban traffic congestion is constantly spreading. The increase in traffic is due to the growing number of vehicles and the limited expansion of roads.  Present day traffic signaling system is fixed time based which may render inefficient if one lane is operational than the others. To optimize this problem, a framework for an intelligent traffic control system needs to be designed.  higher traffic density at one side of the junction demands longer green time as compared to standard allotted time. Also, emergency vehicles such as ambulance, fire extinguishing engines etc. should be prioritized. Therefore, proposed here is a mechanism in which the time period of green light and red light is assigned on the basis of the density of the traffic present at that time and if emergency vehicle is present in any lane, that particular lane is cleared first. This is achieved by using Image Processing techniques such as Background Subtraction Algorithm and Image Segmentation. The images of the roads are captured by the camera, that are processed in python and the information about the emergency vehicle and the density of each road is sent to the microcontroller. Once the density is calculated, the glowing time of green light is assigned with the help of the microcontroller (Arduino UNO). The microcontroller will control the signal lights.  

Keywords : Image Segmentation, Image Processing

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ISSN (Online): 2348-3105 | ISSN (Print): 2347-6729
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