{"title":"Poster: Real-time rainfall estimation based on LTE vehicular communications for road safety applications","authors":"F. Beritelli, F. Scaglione","doi":"10.1109/VNC.2017.8275651","DOIUrl":null,"url":null,"abstract":"In the upcoming years, vehicular networking and communications will be an optimal solution for road safety improvement. Rain is one of the major cause of car accidents, as it dramatically reduces both friction between the vehicle and the ground and driver's visibility. In this paper, we will introduce a new and innovative method suited for rainfall estimation, which is based on the power attenuation measured on the vehicular radio link from the base radio station to an on-board LTE receiver. The proposed algorithm discriminates between 4 classes of rainfall as follows: no rain, weak, moderate, heavy rain. The performance results show 84,4 % accuracy as well as high spatial resolution.","PeriodicalId":101592,"journal":{"name":"2017 IEEE Vehicular Networking Conference (VNC)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Vehicular Networking Conference (VNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VNC.2017.8275651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the upcoming years, vehicular networking and communications will be an optimal solution for road safety improvement. Rain is one of the major cause of car accidents, as it dramatically reduces both friction between the vehicle and the ground and driver's visibility. In this paper, we will introduce a new and innovative method suited for rainfall estimation, which is based on the power attenuation measured on the vehicular radio link from the base radio station to an on-board LTE receiver. The proposed algorithm discriminates between 4 classes of rainfall as follows: no rain, weak, moderate, heavy rain. The performance results show 84,4 % accuracy as well as high spatial resolution.
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