{"title":"高速公路交通事故信息地图匹配与时空可视化研究","authors":"Aifen Fang, Xuan Peng, Jianning Zhou, Lihu Tang","doi":"10.1109/ICITE.2018.8492572","DOIUrl":null,"url":null,"abstract":"A large number of expressway traffic accident information in the traffic management information system cannot be accurately located on the map due to the lack of XY coordinate information in the data acquisition process. This paper put forward a method to realize the expressway accidents' rapidly positioning, map-matching and verification based on mileage pile, other accident collection data items and GIS road map data, providing the accurate data source for strengthening the ability of accident spatial-temporal visualization analysis, which can help the traffic management department improve accident prevention capabilities.","PeriodicalId":336951,"journal":{"name":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Research on the Map-matching and Spatial-temporal Visualization of Expressway Traffic Accident Information\",\"authors\":\"Aifen Fang, Xuan Peng, Jianning Zhou, Lihu Tang\",\"doi\":\"10.1109/ICITE.2018.8492572\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A large number of expressway traffic accident information in the traffic management information system cannot be accurately located on the map due to the lack of XY coordinate information in the data acquisition process. This paper put forward a method to realize the expressway accidents' rapidly positioning, map-matching and verification based on mileage pile, other accident collection data items and GIS road map data, providing the accurate data source for strengthening the ability of accident spatial-temporal visualization analysis, which can help the traffic management department improve accident prevention capabilities.\",\"PeriodicalId\":336951,\"journal\":{\"name\":\"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITE.2018.8492572\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITE.2018.8492572","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Map-matching and Spatial-temporal Visualization of Expressway Traffic Accident Information
A large number of expressway traffic accident information in the traffic management information system cannot be accurately located on the map due to the lack of XY coordinate information in the data acquisition process. This paper put forward a method to realize the expressway accidents' rapidly positioning, map-matching and verification based on mileage pile, other accident collection data items and GIS road map data, providing the accurate data source for strengthening the ability of accident spatial-temporal visualization analysis, which can help the traffic management department improve accident prevention capabilities.
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