Development of an Adaptive Rear-End Crash Avoidance Model

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Conference Proceeding

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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.

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Citation / Publisher Attribution

13th World Congress on Intelligent Transport Systems, Compendium of Technical Papers, London, United Kingdom, October 8-12, 2006.