LEADER 02329nam 2200385 450 001 9910375785503321 005 20230824100027.0 035 $a(CKB)4100000004910113 035 $a(Non_Seri)133223 035 $a(NjHacI)994100000004910113 035 $a(EXLCZ)994100000004910113 100 $a20230824d2015 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIWCTS $eproceedings of the 8th ACM SIGSPATIAL International Workshop on Computational Transportation Science : November 3rd, 2015, Seattle, Washington, USA / /$fXin Chen 210 1$aNew York :$cAssociation for Computing Machinery,$d2015. 215 $a1 online resource (38 pages) $cillustrations 225 1 $aACM international conference proceedings series 311 $a1-4503-3979-4 330 $aIn the near future, vehicles, travelers, and the infrastructure will collectively have billions of sensors that can communicate with each other. Transportation systems, due to their distributed/mobile nature, can become the ultimate test-bed for a ubiquitous (i.e., embedded, highly-distributed, and sensor-laden) computing environment of unprecedented scale. This environment will enable numerous novel applications and order of magnitude improvement of the performance of existing applications. Information technology is the foundation for implementing new strategies, particularly if they are to be made available in real-time to wireless devices in vehicles or in the hands of people. Contributing are increasingly more sophisticated geospatial and spatio-temporal information management capabilities. Human factors, technology adoption and use, user feedback and incentives for collaborative behavior are areas of technology policy central to the success of this ubiquitous computing environment. 410 0$aACM international conference proceedings series. 606 $aIntelligent transportation systems$vCongresses 606 $aElectronics in transportation$vCongresses 615 0$aIntelligent transportation systems 615 0$aElectronics in transportation 676 $a388.312 700 $aChen$b Xin$0768278 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910375785503321 997 $aUNINA