{"title":"基于GIS的实时流量数据分析:Internet和WAP方法","authors":"I. Fi, Á. Barsi, T. Lovas, Z. Siki, G. Fordos","doi":"10.1109/ITSC.2005.1520185","DOIUrl":null,"url":null,"abstract":"Due to the heavy traffic, people living in urban areas have to get used to congested roads, increased traveling time, and stressful situations. There is a strong demand on acquiring real-time flow data on actual traffic and road conditions. Our paper presents a method on acquiring several traffic data from different data sources, such as induction loop sensor data (vehicle volume, average flow speed, road occupancy), traffic monitoring video camera images, position data of the public transport vehicles and cabs, digital database of road construction areas. A technique to combine and analyze them in sophisticated GIS (Geographic Information System) environment is also presented in the paper. Our method involves state-of-the-art multimedia communication applications, including Internet and cell-phone based JAVA Mobile Edition systems. The actual flow information are represented in easy-to-understand color-coding on the maps.","PeriodicalId":153203,"journal":{"name":"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Real-time flow data analysis by GIS: Internet and WAP approach\",\"authors\":\"I. Fi, Á. Barsi, T. Lovas, Z. Siki, G. Fordos\",\"doi\":\"10.1109/ITSC.2005.1520185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the heavy traffic, people living in urban areas have to get used to congested roads, increased traveling time, and stressful situations. There is a strong demand on acquiring real-time flow data on actual traffic and road conditions. Our paper presents a method on acquiring several traffic data from different data sources, such as induction loop sensor data (vehicle volume, average flow speed, road occupancy), traffic monitoring video camera images, position data of the public transport vehicles and cabs, digital database of road construction areas. A technique to combine and analyze them in sophisticated GIS (Geographic Information System) environment is also presented in the paper. Our method involves state-of-the-art multimedia communication applications, including Internet and cell-phone based JAVA Mobile Edition systems. The actual flow information are represented in easy-to-understand color-coding on the maps.\",\"PeriodicalId\":153203,\"journal\":{\"name\":\"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2005.1520185\",\"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. 2005 IEEE Intelligent Transportation Systems, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2005.1520185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time flow data analysis by GIS: Internet and WAP approach
Due to the heavy traffic, people living in urban areas have to get used to congested roads, increased traveling time, and stressful situations. There is a strong demand on acquiring real-time flow data on actual traffic and road conditions. Our paper presents a method on acquiring several traffic data from different data sources, such as induction loop sensor data (vehicle volume, average flow speed, road occupancy), traffic monitoring video camera images, position data of the public transport vehicles and cabs, digital database of road construction areas. A technique to combine and analyze them in sophisticated GIS (Geographic Information System) environment is also presented in the paper. Our method involves state-of-the-art multimedia communication applications, including Internet and cell-phone based JAVA Mobile Edition systems. The actual flow information are represented in easy-to-understand color-coding on the maps.