Safety assessment of a rear-end crash avoidance system

13th World Congress on Intelligent Transport Systems and Services

Volumn , Issue , 2006, Pages

  Najm, Wassim G ^a   Ference, Jack ^b  

^a Volpe Center   (United States)

^b NATIONAL HIGHWAY TRAFFIC SAFETY ADMINISTRATION   (United States)

Author keywords

Adaptive cruise control; Collision avoidance system; Driver performance; Driving conflict; Evaluation; Field operational test; Forward crash warning; Near crash; Rear end crash; Safety

Indexed keywords

ACCIDENT PREVENTION; ACCIDENTS; ADAPTIVE CONTROL SYSTEMS; ADAPTIVE CRUISE CONTROL; AUTOMOBILES; COLLISION AVOIDANCE; CRUISE CONTROL; FLEET OPERATIONS; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; SAFETY DEVICES; SAFETY ENGINEERING; TRAFFIC CONTROL; TRANSPORTATION; TRUCKS; UTILITY TRUCKS; VEHICLES;

COLLISION AVOIDANCE SYSTEMS; CRASH WARNINGS; DRIVER PERFORMANCE; DRIVING CONFLICT; EVALUATION; NEAR-CRASH; OPERATIONAL TEST; REAR-END CRASHES;

CRASHWORTHINESS;

EID: 84950166179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. General Motors Corporation (2005). Automotive Collision Avoidance System Field Operational Test (ACAS FOT)-Final Program Report, DOT HS 809 886, National Highway Traffic Safety Administration, Washington, DC.
2. Najm, W. G., M. Mironer, J. Koziol Jr., J.-S. Wang, R. R. Knipling (1995). Synthesis Report: Examination of Target Vehicular Crashes and Potential ITS Countermeasures, DOT HS 808 263, National Highway Traffic Safety Administration, Washington, DC.
3. University of Michigan Transportation Research Institute and General Motors (2005). Automotive Collision Avoidance System Field Operational Test-Methodology and Results, DOT HS 809 900, National Highway Traffic Safety Administration, Washington, DC.
4. Najm, W. G., M. D. Stearns, H. Howarth, J. Koopmann, J. Hitz (2006). Evaluation of an Automotive Rear-End Collision Avoidance System, DOT HS 810 569, National Highway Traffic Safety Administration, Washington, DC.
5. Najm, W. G., M. P. daSilva (2000). Benefits Estimation Methodology for Intelligent Vehicle Safety Systems Based on Encounters with Critical Driving Conflicts. In Proceedings ITS America's 10th Annual Meeting & Exposition, Boston, MA.
6. McMillan, N. J., A.-C. Christiaen, G. V. Stark (2001). Estimating Safety Benefits for the IVI Generation 0 Field Operational Tests. Paper No. 01TB-59, SAE International Truck & Bus Meeting & Exposition, Chicago, IL.
7. Smith, D. L., W. G. Najm, R. A. Glassco (2002). The Feasibility of Driver Judgment as a Basis for Crash Avoidance Database Development. Paper No. 02-3695, Transportation Research Record 1784, TRB 2002 Annual Meeting, Washington, D. C.
8. Kiefer, R. J., M. T. Cassar, C. A. Flannagan, D. J. LeBlanc, M. D. Palmer, R. K. Deering, M. A. Shulman (2003). Forward Collision Warning Requirements Project Task 1 Final Report: Refining the CAMP Crash Alert Timing Approach by Examining 'Last-Second' Braking and Lane-Change Maneuvers Under Various Kinematic Conditions, DOT HS 809 574, National Highway Traffic Safety Administration, Washington, DC.
9. National Highway Traffic Safety Administration (1996). Preliminary Assessment of Crash Avoidance Systems Benefits, NHTSA Benefits Working Group, Version II, Chapter 3, Washington, DC.
10. Najm, W. G., B. Sen, J. D. Smith, B. N. Campbell (2003). Analysis of Light Vehicle Crashes and Pre-Crash Scenarios Based on the 2000 General Estimates System, DOT HS 809 573, National Highway Traffic Safety Administration, Washington, DC.