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The objectives of Task 2c (develop and validate equations) were to determine (1) how various vehicle parameters that are measurable by technologies in the SAVE-IT program can be combined to predict drivers’ subjective ratings of driving task demand (especially as a function of road geometry and...
SAVE-IT Reports and Articles
This presentation provides a summary of the results of the SAVE-IT program. It was delivered during the “Human Factors at the Interface Session,” G19, at the 2008 SAE Government/Industry Meeting in Washington, D.C., on May 13, 2008.
The National Highway Traffic Safety Administration (NHTSA) is directing a program that could help minimize the safety risk of distraction and improve the effectiveness of in-vehicle technologies.
NHTSA seeks to develop a test vehicle incorporating adaptive interface technology to help it understand the safety benefits such a system might achieve and the requirements necessary to achieve such benefits. The development of such a vehicle will also spur ongoing industry efforts and create a...
Volpe develops and applies objective test procedures and specialized measurement capabilities for new technologies, typically in conjunction with the National Highway Traffic Safety Administration (NHTSA) Vehicle Research and Test Center.
Connected vehicle policy analysis supports research and analysis into critical policy and institutional issues that may influence or determine the successful deployment of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technologies.
At what point do we begin to measure and manage the impact of travel information? Does better information about both traffic and transit influence traveler behavior with sizable route and mode shifts to merit monitoring? If so, how can we use the real-time information and incorporate it into...
According to the official blog of the U.S. Secretary of Transportation, FastLane, connected vehicle technology could prevent or reduce the severity of up to 80 percent of all crashes involving non-impaired drivers.
Researchers who conduct naturalistic driving studies to understand driver performance face the proverbial needle-in-the-haystack problem. Cars outfitted with sensors and video cameras record driver behavior and road and traffic conditions, providing massive amounts of naturalistic data. To shed...