Open Access
MATEC Web Conf.
Volume 81, 2016
2016 5th International Conference on Transportation and Traffic Engineering (ICTTE 2016)
Article Number 02007
Number of page(s) 6
Section Transportation Security
Published online 25 October 2016
  1. US Department Of Transportation, 49 CFR Parts 571 and 585- Federal Motor Vehicle Safety Standards, Docket No. NHTSA 2005-20586
  2. The European Parliament and Council, REGULATION (EC) No 661/2009, (13 July 2009)
  3. D. Blower, Final Report, The University of Michigan Transportation Research Institute, (2014)
  4. G. Forkenbrock, R. L. Hoover, E. Gerdus, T. R. Van Buskirk, and M. Heitz, Report No. DOT HS 812 045, Washington, DC: NHTSA, (2014)
  5. K. Van Beeck, T. Goedemé, and T. Tuytelaars, Proc. MVA, Nara, Japan, (2011)
  6. K. Van Beeck, T. Tuytelaars, and T. Goedemé, Proc. ICINCO, (2012)
  7. K. Van Beeck, and T. Goedemé, Proc. the 3rd International Conference on Pattern Recognition Applications and Methods, 412–420, Angers, France, (March 2014)
  8. eImpact, Assessing the Impacts of Intelligent Vehicle Safety Systems, Socio-economic impact assessment of stand-alone and co-operative Intelligent Vehicle Safety Systems (IVSS) in Europe, (2008)
  9. Insurance Institute for Highway Safety (IIHS), Researchers Estimate Potential Benefits of Crash Avoidance Features, Status Report 43, 3 (April 17, 2008) |SPECIAL ISSUE: CRASH AVOIDANCE FEATURES|
  10. Insurance Institute for Highway Safety (IIHS), Large Trucks to Benefit from Technology Designed to Help Prevent Crashes, Status Report 45, 5 (May 20, 2010)
  11. K. J. Kingsley, NHTSA, Paper No. 09-0460, (2009)
  12. M. Kuehn, T. Hummel, and J. Bende, No. 09-0317. 21st International Technical Conference on the Enhanced Safety of Vehicles, Stuttgart, Germany
  13. Fédération Internationale de l’Automobile (FIA), policy position on the general safety regulation, (2014)
  14. C. T. Chen and Y. S. Chen, ITSC ‘09. 12th International IEEE Conference on Intelligent Transportation Systems, (2009). St. Louis, MO
  15. NAO Engineering, Safety & Restraints Center, Crash Avoidance Department, “44 Crashes”. General Motors Corporation, Version 3.0, (January 1997)
  16. Crash Avoidance Metrics Partnership, “Enhanced Digital Mapping Project – Final Report”. U.S. Department of Transportation, National Highway Traffic Safety Administration, (November 2004)
  17. W. G. Najm, B. Sen, J. D. Smith, and B. N. Campbell, DOT-VNTSC-NLTSA-02-04, DOT HS 809 573, (February 2003)
  18. W. G. Najm, J. D. Smith, and M. Yanagisawa, Report No. DOT HS 810 767. Washington, DC: NHTSA, (2007)
  19. M. Yanagisawa, E. Swanson, and W. G. Najm, Report No. DOT HS 811 998. Washington, DC: NHTSA, (2014)
  20. S. Toma, D. Swanson, and W. G. Naim, Report No. DOT HS 812 023. Washington, DC: NHTSA, (2014)
  21. Y Page et al. D 4.2.1 - A posteriori evaluation of safety functions effectiveness –Methodologies, TRACE Report, (2007)
  22. B. Färber, F. Freyberger, and B. Färber, Nutzenpotenzial von Fahrerassistenzsystemen. Literaturstudie, Expertenbefragung, Bewertung, On behalf of the German Insurers Accident Research. Unpublished, (2008)

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