{"title":"实时交通数据分析","authors":"S. Chawathe","doi":"10.1109/ITSC.2004.1398881","DOIUrl":null,"url":null,"abstract":"We describe a method for real-time monitoring of data generated by traffic sensors. We provide a system architecture and discuss three key components: (1) a streaming query processor that is used to reduce the volume of data; (2) a pattern-matching module that is used to detect when a developing traffic situation resembles one flagged earlier; and (3) an interface that efficiently displays the stream of sensor data in a user-configurable manner.","PeriodicalId":239269,"journal":{"name":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Real-time traffic-data analysis\",\"authors\":\"S. Chawathe\",\"doi\":\"10.1109/ITSC.2004.1398881\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe a method for real-time monitoring of data generated by traffic sensors. We provide a system architecture and discuss three key components: (1) a streaming query processor that is used to reduce the volume of data; (2) a pattern-matching module that is used to detect when a developing traffic situation resembles one flagged earlier; and (3) an interface that efficiently displays the stream of sensor data in a user-configurable manner.\",\"PeriodicalId\":239269,\"journal\":{\"name\":\"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2004.1398881\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2004.1398881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We describe a method for real-time monitoring of data generated by traffic sensors. We provide a system architecture and discuss three key components: (1) a streaming query processor that is used to reduce the volume of data; (2) a pattern-matching module that is used to detect when a developing traffic situation resembles one flagged earlier; and (3) an interface that efficiently displays the stream of sensor data in a user-configurable manner.