{"title":"城市车辆网络中停放车辆的统计","authors":"A. Reis, S. Sargento","doi":"10.1109/WoWMoM.2016.7523570","DOIUrl":null,"url":null,"abstract":"The ability to predict the behavior of cars that are parked in an urban area can be very useful to the development of vehicular networks that leverage these parked cars. In this paper, we analyze the mobility patterns of people living in US cities who use cars as their primary means of transportation. We process and analyze survey data from the metropolitan areas of Atlanta, Chicago, and Knoxville, to extract statistics on the parking behaviors of individual cars.","PeriodicalId":187747,"journal":{"name":"2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Statistics of parked cars for urban vehicular networks\",\"authors\":\"A. Reis, S. Sargento\",\"doi\":\"10.1109/WoWMoM.2016.7523570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ability to predict the behavior of cars that are parked in an urban area can be very useful to the development of vehicular networks that leverage these parked cars. In this paper, we analyze the mobility patterns of people living in US cities who use cars as their primary means of transportation. We process and analyze survey data from the metropolitan areas of Atlanta, Chicago, and Knoxville, to extract statistics on the parking behaviors of individual cars.\",\"PeriodicalId\":187747,\"journal\":{\"name\":\"2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WoWMoM.2016.7523570\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WoWMoM.2016.7523570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistics of parked cars for urban vehicular networks
The ability to predict the behavior of cars that are parked in an urban area can be very useful to the development of vehicular networks that leverage these parked cars. In this paper, we analyze the mobility patterns of people living in US cities who use cars as their primary means of transportation. We process and analyze survey data from the metropolitan areas of Atlanta, Chicago, and Knoxville, to extract statistics on the parking behaviors of individual cars.