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This paper provides an overview of a cooperative research program between General Motors Corporation and the National Highway Traffic Safety Administration to conduct a field operational test of a rear-end collision warning system. A description of the system architecture is also presented.

In August of 2000, the National Highway Traffic Safety Administration (NHTSA) completed an Automated Collision Notification (ACN) Field Operational Test (FOT) in Erie County, New York, that combined crash sensing, position location, and wireless communications technology in a system with the goal of saving lives and reducing disabilities from injuries by providing faster and more informed emergency medical responses to serious injury crashes. The ACN FOT Team designed and built an ACN system prior to the start of the test period in July 1997. ACN in-vehicle systems were than installed in 850 vehicles. The crash notification messages were delivered to emergency response and dispatch equipment installed at the Erie County Sheriff's Office, which served as the Public Safety Answering Point (PSAP) for this FOT.

The tests described here have been used to provide a preliminary checkout of the control functionality of a prototype adaptive cruise control (ACC) system being used in a field operational test of intelligent cruise control. The results presented provide an initial characterization of the headway control performance of the ACC system. The inputs to these tests are the speed of the preceding vehicle. The results of the tests are based upon measurements of range, range rate, velocity, transmission shift commands, and velocity commands resident within the ACC system. Numerical performance measures are derived from these data and used to characterize system performance quantitatively. Results from these types of tests could be used in assessing differences in headway control characteristics associated with various ACC systems.

This paper describes a Field Operational Test (FOT) of an Automated Collision Notification (ACN) System, a new way to provide definitive pre- hospital medical care to people injured in motor vehicle crashes. This FOT is part of the National Highway Traffic Safety Administration's (NHTSA's) research being conducted under the U.S. Department of Transportation's Intelligent Transportation Systems (ITS) program. Management of the program is by the Office of Vehicle Safety Research in NHTSA. The ACN FOT is a demonstration of the application of advanced technology for the improvement of pre-hospital emergency care for motor-vehicle crash victims. The test, involving approximately 850 volunteers' vehicles, was conducted in rural Western New York State. A partnership of local public agencies and private corporations, led by Veridian, Inc., performed the test.

This paper reviews the field operational test (FOT) methodology adopted in recent years for the evaluation of driver-assistance systems. The Road Departure Crash Warning System program is used both for illustration and as a case study. This project involved an extensive field operational test of a driver-assistance system using volunteers from the general public who drove instrumented research vehicles in place of their normal cars. Objective and subjective data were collected in these trials, and comparisons were made between driving behavior under conditions where the systems were either enabled or disabled. This paper presents sample results from the analyses and draws conclusions on the strengths and weaknesses of the FOT method.