{"title":"道路不平整人群感应与智能手机应用程序","authors":"Maxime Jean, A. Chasse, William Beng","doi":"10.1109/ITSC.2019.8917307","DOIUrl":null,"url":null,"abstract":"This paper presents the outline of an integrated road roughness monitoring system and illustrates its proper functioning with data collected from a large community. The originality of the proposed crowd-sensing system is the extraction of relevant information from uncalibrated smartphones. By not imposing any stringent measurement protocol on users, partner apps of the project continuously provide a stream of roughness measures from daily travels. This ensures a large scale collection of data. Combined with mobility detection algorithms, the system monitors the degradation of roads from a multi-modal standpoint. Combined with traffic monitoring, this system offers a key tool to help decision makers in charge of public road networks.","PeriodicalId":6717,"journal":{"name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","volume":"52 1","pages":"1079-1084"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Road Roughness Crowd-Sensing with Smartphone Apps\",\"authors\":\"Maxime Jean, A. Chasse, William Beng\",\"doi\":\"10.1109/ITSC.2019.8917307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the outline of an integrated road roughness monitoring system and illustrates its proper functioning with data collected from a large community. The originality of the proposed crowd-sensing system is the extraction of relevant information from uncalibrated smartphones. By not imposing any stringent measurement protocol on users, partner apps of the project continuously provide a stream of roughness measures from daily travels. This ensures a large scale collection of data. Combined with mobility detection algorithms, the system monitors the degradation of roads from a multi-modal standpoint. Combined with traffic monitoring, this system offers a key tool to help decision makers in charge of public road networks.\",\"PeriodicalId\":6717,\"journal\":{\"name\":\"2019 IEEE Intelligent Transportation Systems Conference (ITSC)\",\"volume\":\"52 1\",\"pages\":\"1079-1084\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Intelligent Transportation Systems Conference (ITSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2019.8917307\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2019.8917307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents the outline of an integrated road roughness monitoring system and illustrates its proper functioning with data collected from a large community. The originality of the proposed crowd-sensing system is the extraction of relevant information from uncalibrated smartphones. By not imposing any stringent measurement protocol on users, partner apps of the project continuously provide a stream of roughness measures from daily travels. This ensures a large scale collection of data. Combined with mobility detection algorithms, the system monitors the degradation of roads from a multi-modal standpoint. Combined with traffic monitoring, this system offers a key tool to help decision makers in charge of public road networks.