Open Access
MATEC Web Conf.
Volume 76, 2016
20th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
Article Number 03004
Number of page(s) 7
Section Communications
Published online 21 October 2016
  1. D. A. Rosen, F. J. Mammano, R. Favout, An electronic route-guidance system for highway vehicles. IEEE Trans Veh Technol, 19, 143–152 (1970) [CrossRef] [Google Scholar]
  2. C. Little, The intelligent vehicle initiative: advancing “human-centered” smart vehicles. Public Roads, 61 (1997). [Google Scholar]
  3. Intelligent Vehicle Initiative: Strategic Planning Overview, Draft, (1997). [Google Scholar]
  4. R. Kandarpa, M. Chenzaie, J. Anderson, Final Report: Vehicle Infrastructure Integration Proof-of-Concept Results and Findings. C Infrastructure. Technical Report FHWA-JPO-09-057 (2009). [Google Scholar]
  5. Y. F. Yin, M. A. Miller, S. E. Shladover, Assessment of the applicability of cooperative vehicle-highway automation systems to freight movement in Chicago. In: The 83rd TRB Annual Meeting, Washington, DC (2004). [Google Scholar]
  6. US Department of Transportations: [Google Scholar]
  7. US Department of Transportation: [Google Scholar]
  8. I. Catling, B. McQueen. Road transport informatics in Europe-major programs and demonstrations. IEEE Trans Veh Technol, 40, 132–140 (1991). [CrossRef] [Google Scholar]
  9. P R Oxley, C G B. Mitchell Final report on elderly and disabled drivers information telematics. R & D Programme Telematics System in the Area of Transport (DRIVE II), Commission of the European Communities CEC, Brussels (1995). [Google Scholar]
  10. A. Carrotta (ERTICO). Report on the Progress of the 28 eSafety Recommendations. Brussels (2008). [Google Scholar]
  11. T. Yokota, ITS Technical Note for Developing Countries – Technical Note 1, NRI. [Google Scholar]
  12. T. Tanaka, T. Yamamoto, S. Fukuda. Onboard system devices for a vehicle information and communication system. FUJITSU TEN Tech J, 7, 26–34 (1995). [Google Scholar]
  13. T. Bar, D. Nienhuser, R. Kohlhaas, Probabilistic driving style determination by means of a situation based analysis of the vehicle data. In: The 14th International IEEE Conference on Intelligent Transportation Systems, Washington, DC, 1698–1703 (2011). [Google Scholar]
  14. NTU – Dados do transporte público: [Google Scholar]
  15. Ministério do Planejamento: [Google Scholar]
  16. Critérios técnicos na seleção de projetos. Apresentado pela SEMOB / Ministério das cidades:ÉRIOS-DE-SELEÇÃO-DE-PROJETOS_SEMOB.pdf [Google Scholar]
  17. NTU – Indicadores de desenpenho: [Google Scholar]
  18. SPTRANS: [Google Scholar]
  19. Companhia de Engenharia de Tráfego: [Google Scholar]
  20. T. Yokota, Two stage Selection Model for ITS Applications– Technical Note 2, NRI. 21. 2015–2019 DoT Strategic Plan [Google Scholar]

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