Raja Majid Mehmood, Su Chenlu, Hong Yating, Liu Tianyi
{"title":"交通事故数据可视化系统","authors":"Raja Majid Mehmood, Su Chenlu, Hong Yating, Liu Tianyi","doi":"10.21625/archive.v4i2.752","DOIUrl":null,"url":null,"abstract":"At present, the traffic problem is a problem that the government attaches great importance to. Many papers also put forward their own visualization models for traffic problems. This research focused on the Map-matching and Spatial-temporal Visualization of Expressway Traffic Accident Information and improves the original two-dimensional visual model of accident rate into a three-dimensional model. The goal is to represent more attributes in a visual model and make them easier to compare, so as to provide users with more intuitive visual information.","PeriodicalId":33666,"journal":{"name":"ARCHiveSR","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visualization System for Traffic Accident Data\",\"authors\":\"Raja Majid Mehmood, Su Chenlu, Hong Yating, Liu Tianyi\",\"doi\":\"10.21625/archive.v4i2.752\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At present, the traffic problem is a problem that the government attaches great importance to. Many papers also put forward their own visualization models for traffic problems. This research focused on the Map-matching and Spatial-temporal Visualization of Expressway Traffic Accident Information and improves the original two-dimensional visual model of accident rate into a three-dimensional model. The goal is to represent more attributes in a visual model and make them easier to compare, so as to provide users with more intuitive visual information.\",\"PeriodicalId\":33666,\"journal\":{\"name\":\"ARCHiveSR\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ARCHiveSR\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21625/archive.v4i2.752\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ARCHiveSR","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21625/archive.v4i2.752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
At present, the traffic problem is a problem that the government attaches great importance to. Many papers also put forward their own visualization models for traffic problems. This research focused on the Map-matching and Spatial-temporal Visualization of Expressway Traffic Accident Information and improves the original two-dimensional visual model of accident rate into a three-dimensional model. The goal is to represent more attributes in a visual model and make them easier to compare, so as to provide users with more intuitive visual information.