The Federal Highway Administration provides high-quality information to serve Government, industry, and the public in a manner that promotes public understanding. Standards and policies are used to ensure and maximize the quality, objectivity, utility, and integrity of its information. FHWA periodically reviews quality issues and adjusts its programs and processes to ensure continuous quality improvement. REPORT DOCUMENTATION PAGEForm Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Volpe conducted the Naturalistic study of truck following behavior to gain a better understanding of how trucks follow other vehicles in the real world, with the ultimate goal of supporting the Federal Highway Administration in the development of automated truck platooning applications. Using two naturalistic heavy truck data sets collected from previous related research, Volpe quantified heavy truck following behavior in the following categories: how closely trucks follow other vehicles on freeways, how following behavior varies by road condition, weather and visibility, following distances at which cut-in events occur, and the safety impact of different headways. Key results from this 2015 study showed that trucks follow passenger cars at shorter distances and headways than they follow heavy trucks at distances under 60 mph, but follow other heavy vehicles at shorter distances and headways at speeds greater than 60 mph; truck drivers generally follow other vehicles at much shorter headways (around 2 seconds) than are recommended in CDL driver handbooks; vehicles rarely cut-in between two trucks who are following at a distance of 40 m or less; and crash risk increases considerably when trucks follow other vehicles at headways of less than 1 s.
Forward collision warning (FCW) systems have been available for some time. Drivers 20-29 years of age are especially at risk for being involved in motor vehicle crashes due to distraction. (FCW) systems could potentially reduce rear-end crashes caused by distraction and other factors. A field operational experiment was run to determine whether FCW systems could reduce over time for this cohort the driving conflicts (rear-end crashes and near crashes) with lead vehicles. Information was gathered on 38 drivers over varying periods of time (up to a year) on alert rates [over vehicle miles traveled (VMT) or months], conflict rates, and responses to conflicts. Conflicts per 1,000 VMT decreased by 76.6%. The decrease in conflict rates was correlated with the decrease in alert rates (0.71), suggesting that drivers were responding positively to the alerts. There was no change in the responses to conflicts. Females had many fewer alerts than males.
Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188), Washington, DC 20503.
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