Correlation of subjective and objective handling of vehicle behaviour

This thesis presents the results of a research project which sought to find links between driver subjective ratings and objective measures of vehicle handling. The experimental data used in this project has been made available from a previous research project. The experimental data was collected using a prototype vehicle which was used in 16 different configurations. Objective data was collected based around the ISO defined steady state, step input, and frequency response tests. Subjective assessments were collected from eight trained test drivers using a numerical rating scale to a questionnaire covering various aspects of vehicle handling. Analysis of the subjective assessments has been done to identify any shortcomings that may affect any subsequent analysis. From the literature review, an approach that claims to relate four simple objective metrics to subjective measures of vehicle handling has been developed in two new ways. Firstly, the proposal was tested [1] with the large amount of subjective data available to see if good levels of correlation could be found between the proposed metrics and driver subjective ratings to specific handling questions. Secondly, the method was extended to include further simple metrics to try and improve links between the subjective and objective data [2]. Non-linear relationships in the correlation of subjective vs. objective data have been investigated for the first time [3] using non-linear genetic algorithms, which, in addition have not previously been used to correlate driver subjective ratings with objective measures that describe vehicle handling. From the results, it has been possible to specify ranges of preferred values of objective metrics in order to produce a subjectively satisfying vehicle. Finally, the work discusses how the results obtained can be used by engineers to aid the vehicle design and development process.

[1]  Shoichi Sano,et al.  Effects of vehicle response characteristics and driver's skill level on task performance and subiective rating , 1980 .

[2]  Theodore J. Rosenthal,et al.  Requirements for vehicle dynamics simulation models , 1994 .

[3]  George E. Cooper,et al.  The use of pilot rating in the evaluation of aircraft handling qualities , 1969 .

[4]  S. Chatterjee,et al.  Regression Analysis by Example , 1979 .

[5]  D. T. Aspinall,et al.  Paper 5: The Correlation between Subjective Assessments and Physical Measurements of the Vibratory Motion in a Saloon Car , 1966 .

[6]  Bernd Richter.  Driving Simulator Studies: The Influence of Vehicle Parameters on Safety in Critical Situations , 1974 .

[7]  Jeffrey P. Chrstos.  A Simplified Method for the Measurement of Composite Suspension Parameters , 1991 .

[8]  J Little,et al.  The handling and stability of motor vehicles, part 7: frequency response measurements and their analysis , 1970 .

[9]  Mimuro Tetsushi,et al.  Four Parameter Evaluation Method of Lateral Transient Response , 1990 .

[10]  I. A. M. Hall,et al.  Study of the Human Pilot as a Servo-Element , 1963, The Journal of the Royal Aeronautical Society.

[11]  Hans B. Pacejka,et al.  Tyre Modelling for Use in Vehicle Dynamics Studies , 1987 .

[12]  Philip D. Wasserman,et al.  Advanced methods in neural computing , 1993, VNR computer library.

[13]  Erich Ramschak,et al.  Vehicle driveability assessment using neural networks for development, calibration and quality tests , 2000 .

[14]  D. A. Crolla,et al.  Subjective and Objective Assessment Of Vehicle Handling Performance , 2000 .

[15]  Dominke Peter,et al.  Electric Power Steering - The First Step on the Way to “Steer by Wire” , 1999 .

[16]  D. A. Crolla,et al.  Identification of Subjective-Objective Vehicle Handling Links Using Neural Networks for the Foresight Vehicle , 2002 .

[17]  Robert P. Harper,et al.  FLIGHT EVALUATIONS OF VARIOUS LONGITUDINAL HANDLING QUALITIES IN A VARIABLE-STABILITY JET FIGHTER , 1955 .

[18]  David G. Fish.  Evaluation of Neural Networks as a Technique for Correlating Vehicle Noise with Subjective Response , 1997 .

[19]  Peter Schoeggl,et al.  Objective Evaluation of Vehicle Driveability , 1998 .

[20]  Walter Bergman,et al.  MEASUREMENT AND SUBJECTIVE EVALUATION OF VEHICLE HANDLING , 1973 .

[21]  Junsuke Kuroki,et al.  Development of simulator vehicle for conducting vehicle dynamics research , 1990 .

[22]  Bangalore A. Suresh,et al.  Vehicle Model Complexity How Much is Too Much , 1994 .

[23]  D. C. Chen,et al.  VEHICLE HANDLING ASSESSMENT USING A COMBINED SUBJECTIVE-OBJECTIVE APPROACH , 1998 .

[24]  D T Aspinall,et al.  Vehicle riding comfort: the correlation between subjective assessments of vehicle ride and physical measurements of vehicle motion , 1964 .

[25]  Werner Reichelt.  Correlation Analysis of Open/Closed Loop Data for Objective Assessment of Handling Characteristics of Cars , 1991 .

[26]  J Godthelp,et al.  METHODOLOGY FOR PREDICTING CAR AND TRUCK HANDLING ASSESSMENTS , 1992 .

[27]  Ulla Kaisa Knutsson.  SWEDISH NATIONAL ROAD AND TRANSPORT RESEARCH INSTITUTE , 2003 .

[28]  David G. Fish.  Consideration of the Age Related Hearing Ability (Presbycusis) in the Definition of Vehicle Interior Noise Targets , 1999 .

[29]  Murray Smith,et al.  Neural Networks for Statistical Modeling , 1993 .

[30]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[31]  David H. Weir,et al.  Correlation and Evaluation of Driver/Vehicle Directional Handling Data , 1978 .

[32]  B. Richter,et al.  Simulation and Measurement of Driver Vehicle Handling Performance , 1973 .

[33]  David Chen.  Subjective and objective vehicle handling behaviour , 1997 .