Simulation and Measurement of Driver Vehicle Handling Performance

TL;DR: In this article, a review of the state-of-the-art work relevant to the state of the art as regards passenger cars towing trailers is presented. But the focus is on the role of the driver.

TL;DR: In this article, the steering control quality of two vehicles has been investigated with the help of lane change maneuvers, and the results show that there is a strong relationship between yaw velocity response time, steering wheel angle gradient, and steering wheel torque gradient and subjective rating.

TL;DR: The present state of knowledge of human control of road vehicles concerns lateral control and most is of an ad hoc nature, andequate mathematical models for longitudinal motion of the vehicle are yet to be developed.

TL;DR: In this paper, the effects of three independent variables on eight measures of driving simulator discomfort were investigated using a high-fidelity, moving-base driving simulator, and the results showed that dependent measures of pallor, skin resistance, respiration rate, yaw deviation, and steering reversals were each reliably sensitive to at least one of the simulator independent variables.

TL;DR: In this paper, Measurement and Analysis of Random Data (MADR) is used for the analysis of random data in the context of measurement and analysis of statistical data sets.