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This paper discusses the values that Adaptive Cruise Control (ACC) systems can provide to the consumer now and in the future. It contains results from research applicable to understanding ACC behavior in traffic streams. The paper includes findings on (1) non-intrusive means for characterizing ACC behavior, (2) the influence of ACC behavior on the microscopic properties of traffic flow, and (3) prospects for the use of ACC systems to relieve driver frustration in heavy traffic as well as contributing to smoother traffic flow.

This paper describes control system and psychological concepts enabling the development of a simulation model suitable for use in emulating driver performance in situations involving the longitudinal control of the distance and headway-time to a preceding vehicle. The developed model has mathematical expressions and relationships pertaining to the driver's skill in operating the brake and accelerator (“inverse dynamics”) and the driver's perceptual and decision-making capabilities (“desired dynamics”). Simulation results for driving situations involving braking and accelerating are presented to aid in understanding the research work.

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.