LEADER 02258oam 2200433zu 450 001 9910141159003321 005 20241212220155.0 010 $a9781467303484 010 $a1467303488 035 $a(CKB)2670000000140172 035 $a(SSID)ssj0000669966 035 $a(PQKBManifestationID)12241840 035 $a(PQKBTitleCode)TC0000669966 035 $a(PQKBWorkID)10716274 035 $a(PQKB)10708954 035 $a(NjHacI)992670000000140172 035 $a(EXLCZ)992670000000140172 100 $a20160829d2011 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a2011 Global Mobile Congress 210 31$a[Place of publication not identified]$cIEEE$d2011 215 $a1 online resource 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781467303460 311 08$a1467303461 330 $aWith rapid progresses in computing technologies, the integrated and ubiquitous computing environment has been developed into Telematics services, which focus on the safety, amusement and information of vehicles. However, high mobility is an essential characteristic in vehicular communication systems, and also the primary cause of challenges. Existing solutions for wireless communication become ineffective or even infeasible in such highly dynamic network topologies. With considering the regular moving patterns of public transportation systems such as buses, trains and shuttles, this paper proposes a novel channel capacity estimation and queue management scheme for VANET. It takes geographic and time considerations into account and develops an efficient channel capacity estimation scheme. Based on the proposed channel capacity estimation scheme, the proposed scheme can well manage the queues at both RSU and vehicle mobile router (VMR). The simulation results are promising and optimistic and can validate the contributions of the proposed scheme. 606 $aMobile communication systems$vCongresses 615 0$aMobile communication systems 676 $a621.38456 702 $aIEEE Staff 801 0$bPQKB 906 $aPROCEEDING 912 $a9910141159003321 996 $a2011 Global Mobile Congress$92346673 997 $aUNINA