{"title":"演示:基于云的车辆数据分析平台","authors":"Shashika Ranga Muramudalige, H. Bandara","doi":"10.1145/2938559.2948849","DOIUrl":null,"url":null,"abstract":"A cloud based, Vehicular Data Analytics Platform (VDAP) to identify unusual driving behaviors, evaluate driving habits, monitor health status of vehicles, and track fleets of vehicles is presented. The platform is capable of ingesting data from multiple sources such as On Board Diagnostics (OBD) port, GPS, sensor units, and smart phones. Initial system consists of an OBD port to Bluetooth dongle, an app running on a smartphone, and a cloud-based backend. Based on OBD data, Complex Event Processors (CEPs) at both the smartphone and backend detect and notify unsafe and anomalous events in real time.","PeriodicalId":298684,"journal":{"name":"MobiSys '16 Companion","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Demo: Cloud-Based Vehicular Data Analytics Platform\",\"authors\":\"Shashika Ranga Muramudalige, H. Bandara\",\"doi\":\"10.1145/2938559.2948849\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A cloud based, Vehicular Data Analytics Platform (VDAP) to identify unusual driving behaviors, evaluate driving habits, monitor health status of vehicles, and track fleets of vehicles is presented. The platform is capable of ingesting data from multiple sources such as On Board Diagnostics (OBD) port, GPS, sensor units, and smart phones. Initial system consists of an OBD port to Bluetooth dongle, an app running on a smartphone, and a cloud-based backend. Based on OBD data, Complex Event Processors (CEPs) at both the smartphone and backend detect and notify unsafe and anomalous events in real time.\",\"PeriodicalId\":298684,\"journal\":{\"name\":\"MobiSys '16 Companion\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MobiSys '16 Companion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2938559.2948849\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MobiSys '16 Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2938559.2948849","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Demo: Cloud-Based Vehicular Data Analytics Platform
A cloud based, Vehicular Data Analytics Platform (VDAP) to identify unusual driving behaviors, evaluate driving habits, monitor health status of vehicles, and track fleets of vehicles is presented. The platform is capable of ingesting data from multiple sources such as On Board Diagnostics (OBD) port, GPS, sensor units, and smart phones. Initial system consists of an OBD port to Bluetooth dongle, an app running on a smartphone, and a cloud-based backend. Based on OBD data, Complex Event Processors (CEPs) at both the smartphone and backend detect and notify unsafe and anomalous events in real time.
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