MATEC Web Conf.
Volume 81, 20162016 5th International Conference on Transportation and Traffic Engineering (ICTTE 2016)
|Number of page(s)||6|
|Published online||25 October 2016|
- US Department Of Transportation, 49 CFR Parts 571 and 585- Federal Motor Vehicle Safety Standards, Docket No. NHTSA 2005-20586 [Google Scholar]
- The European Parliament and Council, REGULATION (EC) No 661/2009, (13 July 2009) [Google Scholar]
- D. Blower, Final Report, The University of Michigan Transportation Research Institute, (2014) [Google Scholar]
- G. Forkenbrock, R. L. Hoover, E. Gerdus, T. R. Van Buskirk, and M. Heitz, Report No. DOT HS 812 045, Washington, DC: NHTSA, (2014) [Google Scholar]
- K. Van Beeck, T. Goedemé, and T. Tuytelaars, Proc. MVA, Nara, Japan, (2011) [Google Scholar]
- K. Van Beeck, T. Tuytelaars, and T. Goedemé, Proc. ICINCO, (2012) [Google Scholar]
- K. Van Beeck, and T. Goedemé, Proc. the 3rd International Conference on Pattern Recognition Applications and Methods, 412–420, Angers, France, (March 2014) [Google Scholar]
- 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) [Google Scholar]
- 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| [Google Scholar]
- Insurance Institute for Highway Safety (IIHS), Large Trucks to Benefit from Technology Designed to Help Prevent Crashes, Status Report 45, 5 (May 20, 2010) [Google Scholar]
- K. J. Kingsley, NHTSA, Paper No. 09-0460, (2009) [Google Scholar]
- M. Kuehn, T. Hummel, and J. Bende, No. 09-0317. 21st International Technical Conference on the Enhanced Safety of Vehicles, Stuttgart, Germany [Google Scholar]
- Fédération Internationale de l’Automobile (FIA), policy position on the general safety regulation, (2014) [Google Scholar]
- C. T. Chen and Y. S. Chen, ITSC ‘09. 12th International IEEE Conference on Intelligent Transportation Systems, (2009). St. Louis, MO [Google Scholar]
- NAO Engineering, Safety & Restraints Center, Crash Avoidance Department, “44 Crashes”. General Motors Corporation, Version 3.0, (January 1997) [Google Scholar]
- Crash Avoidance Metrics Partnership, “Enhanced Digital Mapping Project – Final Report”. U.S. Department of Transportation, National Highway Traffic Safety Administration, (November 2004) [Google Scholar]
- W. G. Najm, B. Sen, J. D. Smith, and B. N. Campbell, DOT-VNTSC-NLTSA-02-04, DOT HS 809 573, (February 2003) [Google Scholar]
- W. G. Najm, J. D. Smith, and M. Yanagisawa, Report No. DOT HS 810 767. Washington, DC: NHTSA, (2007) [Google Scholar]
- M. Yanagisawa, E. Swanson, and W. G. Najm, Report No. DOT HS 811 998. Washington, DC: NHTSA, (2014) [Google Scholar]
- S. Toma, D. Swanson, and W. G. Naim, Report No. DOT HS 812 023. Washington, DC: NHTSA, (2014) [Google Scholar]
- Y Page et al. D 4.2.1 - A posteriori evaluation of safety functions effectiveness –Methodologies, TRACE Report, (2007) [Google Scholar]
- B. Färber, F. Freyberger, and B. Färber, Nutzenpotenzial von Fahrerassistenzsystemen. Literaturstudie, Expertenbefragung, Bewertung, On behalf of the German Insurers Accident Research. Unpublished, (2008) [Google Scholar]
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