DEVELOPMENT OF AN ADAPTIVE REAR-END CRASH AVOIDANCE MODEL

Rear-end collisions accounted for more than 30 percent of the 6.2 million crashes in the United States in 2004. The USDOT is currently working with the automotive industry for vehicle-to-vehicle and vehicle-to-roadside communications to improve traffic safety through crash avoidance systems. This study has developed an adaptive rear-end crash avoidance model to continually adjust the speed of the following vehicle to avoid a rear-end crash when the driver fails to respond to a collision warning. The model was developed based on motion equations, human factors, and vehicle parameters. The model was also closely examined via different vehicle travel profiles. For the covering abstract see ITRD E134653.

• Authors:
  • LIN, P S
  • RAI, S
  • HAGEN, L
• Publication Date: 2006

Language

• English

Media Info

• Pagination: 8p
• Serial:
  • PROCEEDINGS OF THE 13th ITS WORLD CONGRESS, LONDON, 8-12 OCTOBER 2006

Subject/Index Terms

• TRT Terms: Braking; Communication; Communications; Conferences; Crash avoidance systems; Crashes; Human factors; Intelligent transportation systems; Mathematical models; Rear end crashes; Speed; Vehicles
• ITRD Terms: 1451: Adaptive cruise control; 1874: Braking; 1631: Collision; 9098: Communication; 8525: Conference; 2257: Human factor; 8735: Intelligent transport system; 6473: Mathematical model; 1620: Rear end collision; 5408: Speed; 1255: Vehicle
• Subject Areas: Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01083966
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD
• Created Date: Jan 7 2008 1:35PM