{"title":"Crowdsensing Based road risk-reducing framework","authors":"Zakaria Boucetta, A. E. Fazziki, M. Adnani","doi":"10.1145/3286606.3286789","DOIUrl":null,"url":null,"abstract":"With the great rise of programmable smartphones, that are equipped with different cheap but powerful embedded sensors (such as GPS, accelerometer, microphone, camera and many more) and the fact that people, all over the world, are becoming inseparable with their smartphones. It is now possible for these sensors to monitor a diverse range of human activities and the surrounding environment. Crowdsensing is considered as a new paradigm that benefits from the ability of smartphones to sense, collect, and analyze data beyond the scale of what was previously possible. In this paper, we introduce a framework that can be used by authorities to encourage the public to participate in a crowd sensing initiative in order to reduce the risk caused by the deteriorated roads and the imprudent driving behavior on people's life.","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Smart City Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3286606.3286789","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
With the great rise of programmable smartphones, that are equipped with different cheap but powerful embedded sensors (such as GPS, accelerometer, microphone, camera and many more) and the fact that people, all over the world, are becoming inseparable with their smartphones. It is now possible for these sensors to monitor a diverse range of human activities and the surrounding environment. Crowdsensing is considered as a new paradigm that benefits from the ability of smartphones to sense, collect, and analyze data beyond the scale of what was previously possible. In this paper, we introduce a framework that can be used by authorities to encourage the public to participate in a crowd sensing initiative in order to reduce the risk caused by the deteriorated roads and the imprudent driving behavior on people's life.