Affiliation:
1. Anna University, Chennai, India
2. Viterbi School of Engineering, University of Southern California, USA
Abstract
Given the increasing number of vehicles on the road, the intensity of vehicular traffic in cities has tremendously increased. Because of the heavy traffic, there are often traffic delays on the roads, which can result in the loss of human life when emergency medical vehicles like ambulances and fire engines are stuck in the traffic jam. Traffic congestion is thought to be responsible for 30-35% of mortality in emergency situations, according to data compiled from various sources. In such conditions, it becomes essential that the traffic keeps flowing at a faster rate but in a smooth manner. The authors have devised a strategy to cut the amount of time an emergency vehicle spends at signal stops and the amount of manpower required at each traffic signal. The project's primary objective is to use IoT sensors to detect the arrival of emergency vehicles and reduce the time it takes for the vehicle to pass the traffic lights by favouring the lane in which the emergency vehicle is detected by turning traffic lights green to allow other vehicles in front to give way to the emergency vehicle.
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