The American Driving Survey is a data collection system, consisting of daily telephone interviews of a representative sample of the United States population. Respondents are asked to report all of the driving that they did over a 24-hour period the day before the interview. By aggregating results from interviews conducted each day, the data are used to estimate the average and total amount that Americans drive each year and to describe the driving that they do.
In this literature review, theories of and research on driver behavioral adaptation are examined in light of advanced driver assistance systems (ADAS) that support driving tasks formerly managed exclusively by the driver.
This project examined hundreds of actual crashes from a naturalistic driving database. The data allowed us to examine behaviors and potential contributing factors in the seconds leading up to the collision, and provided information not available in police reports.
Since 2006, the AAA Foundation for Traffic Safety has been sponsoring research to better understand traffic safety culture. The Foundation’s long-term term vision is to create a “social climate in which traffic safety is highly valued and rigorously pursued.”
In 2014, sampling was expanded to allow for reporting at the state level for 24 states, which cover 80 percent of the U.S. population.
Although fog and smoke are understood to create challenging driving conditions for motorists, surprisingly little research has been conducted on the characteristics of fog- and smoke-related crashes, and on the prevalence of such crashes in overall national highway safety statistics. This report illustrates the scope of the problem by presenting 23 years of national data on fatal crashes involving fog and smoke, and 19 years of police-reported crash data pertaining to these conditions