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Analyzing the real road behavior of a vehicle in the most basic form unavoidably needs a proper driver model. In this study, a vehicle model with 10 degrees of freedom is used in conjunction with a fuzzy-logic-based driver model to generate vehicle's path through a number of specified points through which the vehicle must pass. The fuzzy controller aiming to imitate a real driver was modified to account for secondary sight characteristic of a human eye. Both longitudinal and lateral controls were applied in the study in providing necessary vehicle speed. While the response of the vehicle is assumed as a human driver's actions under controlled handling maneuvers, a fuzzy yaw control strategy was used to control the yaw motion of the vehicle by using independent braking inputs. Analysis was focused on the intention of human driver while providing the yaw moment change. A simulation is carried out in the Matlab© programming environment using a vehicle model in Simulink©.

Sloped medians provide a run-off area for errant vehicles so that they can be safely stopped off-road with or without barriers placed in the sloped median. However, in order to optimize the design of sloped medians and the containment barriers, it is essential to accurately model the behavior of vehicles on such sloped terrain surfaces. In this study, models of a vehicle fleet comprising a small sedan and a pickup truck and sloped terrain surface are developed in CarSim™ to simulate errant vehicle behavior on sloped median. Full-scale crash tests were conducted using the vehicle fleet driven across a 9.754 meters wide median with a 6:1 slope at speeds ranging from 30 to 70 km/h. Measured data such as the lateral accelerations of the vehicle as well as chassis rotations (roll and pitch) were synchronized with the vehicle motion obtained from the video data.