Determination of the handling properties of a vehicle may be restrictive in some situations. A vehicle model coupled with a driver model may be necessary and even unavoidable to analyse the real road behaviour in the most basic form. Therefore, a fuzzy logic–based controller has been investigated for potential application in modelling driver. Using some particular and limited number of information from characteristics of human driving operation, the model aims to provide any flexible vehicle path reliably. It generates the vehicle’s trajectory through a number of specified points through which the vehicle must pass. The controller was modified to account for peripheral vision characteristic of human eye, as an input. The simulation is carried out in the MATLAB© programming environment using a Simulink© vehicle model. Both longitudinal and lateral controls were applied in the study. This article adds novel approaches to the limited existing published work on driver steering model using fuzzy logic.

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The handling dynamics of a University of Birmingham Racing Formula Student racing car, incorporating a novel rear suspension load transfer system which provides auxiliary roll damping, is modelled using a simulation tool, HANDSIM, developed for vehicle-handling studies, and the effect of the system on the vehicle's handling performance is discussed by considering the results obtained from the simulation. The aim of implementing this suspension load transfer system is to improve the handling characteristics of the vehicle in severe cornering manoeuvres.able by any vehicle model regardless of its complexity. Edgbaston, Birmingham, B15 2TT, UK. email: o.a.olatunbosun@ The path that the vehicle is supposed to follow is pre-mapped on the Earth fixed coordinates [1-3].bham.ac.uk D08004

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