{"title":"车辆距离分布和机动性对VANET通信的影响","authors":"R. Nagel","doi":"10.1109/IVS.2010.5547971","DOIUrl":null,"url":null,"abstract":"In vehicular ad-hoc networks, physical parameters of traffic flow (traffic density and velocities), directly relate to networking parameters (node degree and duration of communication). While existing research on these relations has mainly focused on simulative work or on the free-flow regime of traffic, we discuss these relations for both free-flow and congested traffic and provide an analytical framework for the computation of relevant networking parameters. We also discuss some results and analyze their impact on vehicular communications.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"The effect of vehicular distance distributions and mobility on VANET communications\",\"authors\":\"R. Nagel\",\"doi\":\"10.1109/IVS.2010.5547971\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In vehicular ad-hoc networks, physical parameters of traffic flow (traffic density and velocities), directly relate to networking parameters (node degree and duration of communication). While existing research on these relations has mainly focused on simulative work or on the free-flow regime of traffic, we discuss these relations for both free-flow and congested traffic and provide an analytical framework for the computation of relevant networking parameters. We also discuss some results and analyze their impact on vehicular communications.\",\"PeriodicalId\":123266,\"journal\":{\"name\":\"2010 IEEE Intelligent Vehicles Symposium\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Intelligent Vehicles Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2010.5547971\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Intelligent Vehicles Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2010.5547971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The effect of vehicular distance distributions and mobility on VANET communications
In vehicular ad-hoc networks, physical parameters of traffic flow (traffic density and velocities), directly relate to networking parameters (node degree and duration of communication). While existing research on these relations has mainly focused on simulative work or on the free-flow regime of traffic, we discuss these relations for both free-flow and congested traffic and provide an analytical framework for the computation of relevant networking parameters. We also discuss some results and analyze their impact on vehicular communications.