%0 Journal Article
%T A new method for acoustic priority vehicle detection based on a self-powering triboelectric acoustic sensor suitable for low-power wireless sensor networks
%J Sensors (Basel)
%D 2021
%A Quevy, Quentin
%A Cornetta, Gianluca
%A Touhafi, Abdellah
%V 21
%N 1
%P e158-e158
%X Traffic congestion is, on a daily basis, responsible for a significant amount of economic and social costs. One of the critical examples is the obstruction of  priority vehicles during fast trajectories, which potentially costs lives and  property in case of delay that is too great. By means of visual sensing methods,  solutions and schedules have already been proposed for adjusting traffic light  sequences depending on a priority vehicle's position. However, these mechanisms are  computation and power intensive. Deploying and powering a large-scale network will  have a crucial economical cost. Furthermore, these devices will not always have  access to sufficient power. To provide a solution, we developed an acoustic and  self-powered device that can detect priority vehicles and can be cost effectively  deployed to define a sensor network. The device combines the detection of priority  vehicles and the harvesting of sound energy through triboelectrification. This paper  will introduce the use of triboelectric energy harvesting, specifically in a  self-powered wireless sensor network for priority vehicle detection. Furthermore, it  shows how to increase the power performance of such a generator. Finally, the  results are analyzed.<p /> <p>Language: en</p>
%G en
%I MDPI: Multidisciplinary Digital Publishing Institute
%@ 1424-8220
%U http://dx.doi.org/10.3390/s21010158