Field Study of Heavy-Vehicle Crash Avoidance Systems

In 2013 there were 3,964 people killed and an estimated 95,000 people injured in crashes involving large trucks. In order to reduce crashes many trucks are currently equipped with crash avoidance systems (CASs), which alert drivers to impending conflicts with objects and initiate automatic emergency braking (AEB). A total of 169 drivers operating 150 CAS-equipped trucks from seven trucking companies across the country participated in a 1-year field operational test, which included video and vehicle data to study CASs in a naturalistic environment. In over 3 million miles of data, no rear-end crashes of the type CASs are designed to prevent were identified. A total of 6,000 CAS activations were sampled and analyzed to evaluate their reliability. A high-priority activation was most likely to occur when the driver needed to take action. Lower priority activations were generally advisory and did not require immediate driver response. Fleet safety managers reported that they would recommend CAS technology. While the CAS user experience can be improved, and some activation types were found to be less reliable than others, the results from this study suggest that the overall systems work as intended

• Record URL:
  http://www.nhtsa.gov/DOT/NHTSA/NVS/Crash Avoidance/Technical Publications/2016/812280_FieldStudyHeavy-VehicleCAS.PDF
• 
• Corporate Authors:

  Virginia Tech Transportation Institute

  Center for Automotive Safety Research
  Blacksburg, Virginia  United States 

  National Highway Traffic Safety Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Grove, Kevin
  • Atwood, Jon
  • Hill, Pete
  • Fitch, Greg
  • Blanco, Myra
  • Guo, Feng
  • Russell, Sheldon
  • Marchese, Matthew
  • Bartholomew, Paul
  • Richards, Trevor
• Publication Date: 2016-6

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; Glossary; Photos; References; Tables;
• Pagination: 147p

Subject/Index Terms

• TRT Terms: Automatic data collection systems; Crash avoidance systems; Field studies; Heavy vehicles; Reliability; Tractor trailer combinations; Trucking safety
• Subject Areas: Motor Carriers; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01605556
• Record Type: Publication
• Report/Paper Numbers: DOT HS 812 280
• Files: HSL, TRIS, ATRI, USDOT
• Created Date: Jul 27 2016 9:52AM