This paper reports the results of a study using braking event data recorded from manual driving situations to evaluate the performance of a collision avoidance warning algorithm, i.e., the proportion of times a collision-avoidance alarm would have sounded before typical braking incidents during normal driving. The everyday driving data were collected for the National Highway Traffic Safety Administration (NHTSA) as part of a field operational test (FOT) of an Intelligent Cruise Control system conducted by the University of Michigan Transportation Research Institute (UMTRI). Using a NHTSA warning-time algorithm, the study determined the number of times the warning alarm would have sounded before the driver applied the brakes, had it been installed, for each of the 108 drivers in the FOT. This paper presents the number of such alarms grouped by driver age, gender, and driving style, and draws conclusions about the collision avoidance warning logic. (A*)
Samenvatting