Chris Nash

A review of human sensory dynamics for application to models of driver steering and speed control

In comparison with the high level of knowledge about vehicle dynamics which exists nowadays, the role of the driver in the driver–vehicle system is still relatively poorly understood. A large variety of driver models exist for various applications; however, few of them take account of the driver’s sensory dynamics, and those that do are limited in their scope and accuracy. A review of the literature has been carried out to consolidate information from previous studies which may be useful when incorporating human sensory systems into the design of a driver model. This includes information on sensory dynamics, delays, thresholds and integration of multiple sensory stimuli. This review should provide a basis for further study into sensory perception during driving.

Modelling the effect of sensory dynamics on a driver’s control of a nonlinear vehicle

© 2017 Taylor & Francis Group, London. In previous work a linear model of driver steering control was developed which takes account of human sensory dynamics and limitations. In this paper various approaches to modelling a driver’s control of a nonlinear vehicle are compared. In contrast to research focussed on modelling the optimal driver, the aim of this work is to develop a realistic model of driver steering behaviour. Simulations were run to compare various nonlinear state estimators and controllers. In general a trade-off was found between simulation time, which could also represent mental load, and controller performance. Experiments are planned to compare the results of these simulations against measured steering behaviour from human drivers.

Research data supporting "Modelling the influence of sensory dynamics on linear and nonlinear driver steering control"

This data contains Matlab functions which implement a new model of driver steering control described in the corresponding paper. It also includes the results of simulations described in the paper to compare the performance of different controllers and state estimators for modelling nonlinear steering control.

Research data supporting “Identification of a novel model of driver steering control incorporating human sensory dynamics”

This data supports the following paper: Nash, C. J., & Cole, D. J. (2019). Identification and validation of a driver steering control model incorporating human sensory dynamics. Vehicle System Dynamics. The data is hosted by the Cambridge University data repository, and is available at http://dx.doi.org/10.17863/CAM.1244 Data is saved as .m and .mat files, opened using MATLAB. The data was created using MATLAB version 2014b. See README file for more information.

Research data supporting "Modelling the effect of sensory dynamics on a driver’s control of a nonlinear vehicle"

Outputs of simulations of driver model following 180 degree corner. Various combinations of controllers and state estimators were used, and the simulation conditions were varied as explained in the corresponding paper.