{"title":"车辆移动性表征研究","authors":"Gabriel R. Diniz, F. D. Cunha, A. Loureiro","doi":"10.1145/3132340.3132349","DOIUrl":null,"url":null,"abstract":"With the increasing use of participatory sensing networks on mobile devices, several applications have emerged that influence the mobility of people in a city. These applications also provide data that can help identify patterns in the movement of individuals and vehicles. Time, as well as other factors, tends to influence which regions of the city will have a greater focus on vehicles throughout the day. The goal of this study is to identify vehicular traffic hotspots during the daytime hours so that the population objectives can be identified during that particular time of day and verify if there is any similarity to the other days of the month. This analysis can provide further insights into how traffic works in a particular region and possibly help in solving a traffic-related problem.","PeriodicalId":113404,"journal":{"name":"Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"On the Characterization of Vehicular Mobility\",\"authors\":\"Gabriel R. Diniz, F. D. Cunha, A. Loureiro\",\"doi\":\"10.1145/3132340.3132349\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the increasing use of participatory sensing networks on mobile devices, several applications have emerged that influence the mobility of people in a city. These applications also provide data that can help identify patterns in the movement of individuals and vehicles. Time, as well as other factors, tends to influence which regions of the city will have a greater focus on vehicles throughout the day. The goal of this study is to identify vehicular traffic hotspots during the daytime hours so that the population objectives can be identified during that particular time of day and verify if there is any similarity to the other days of the month. This analysis can provide further insights into how traffic works in a particular region and possibly help in solving a traffic-related problem.\",\"PeriodicalId\":113404,\"journal\":{\"name\":\"Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3132340.3132349\",\"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 of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3132340.3132349","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the increasing use of participatory sensing networks on mobile devices, several applications have emerged that influence the mobility of people in a city. These applications also provide data that can help identify patterns in the movement of individuals and vehicles. Time, as well as other factors, tends to influence which regions of the city will have a greater focus on vehicles throughout the day. The goal of this study is to identify vehicular traffic hotspots during the daytime hours so that the population objectives can be identified during that particular time of day and verify if there is any similarity to the other days of the month. This analysis can provide further insights into how traffic works in a particular region and possibly help in solving a traffic-related problem.