Skip to main content Accessibility help
×
Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-27T00:26:16.199Z Has data issue: false hasContentIssue false

5 - Human Factors and Driver Modeling

Published online by Cambridge University Press:  05 June 2012

A. Galip Ulsoy
Affiliation:
University of Michigan, Ann Arbor
Huei Peng
Affiliation:
University of Michigan, Ann Arbor
Melih Çakmakci
Affiliation:
Bilkent University, Ankara
Get access

Summary

It often is necessary to consider the human role (i.e., drivers and passengers) in the design of automotive systems. For example, this is evident in the discussion of passenger comfort as a key criterion for suspension design in Chapter 4. Human factors, also known as human engineering or human-factors engineering, consist of the application of behavioral and biological sciences to the design of machines and human–machine systems (Sheridan 2002). The term ergonomics is used as a synonym for human factors; however, it often is associated with narrower aspects that address anthropometry, biomechanics, and body kinematics as applied to the design of seating and workspaces. The terms cognitive engineering and cognitive ergonomics also are used to describe the sensory and cognitive aspects of human interactions with designed systems. All major automotive companies, as well as many government agencies (e.g., U.S. Department of Transportation, U.S. Department of Defense, NASA, and Federal Aviation Administration), have research and engineering groups that address human factors. This chapter is a brief introduction to human factors, especially as they apply to automotive control system design. The introduction is followed by a discussion of driver models, especially for vehicle steering.

Human Factors in Vehicle Automation

Humans (i.e., drivers and passengers) clearly interact with automotive control systems in many ways. Commercial success of a new control technology for vehicles may depend on not only the effectiveness of that technology but also acceptance by customers. Established automotive technologies (e.g., automatic transmissions and cruise control) are widely used in the United States but are less widely adopted in Europe. Navigation systems are more successful in Japan than in the United States. Customer acceptance often depends on many difficult-to-quantify factors. New automotive control technologies in which human factors must be considered carefully include electric vehicles, hybrid electric vehicles, traction control, ABS, intelligent (or adaptive) cruise control, cruise control, airbags, active suspensions, and navigation systems.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Barfield, WDingus, T. A. 1998 Human Factors in Intelligent Transportation SystemsLawrence Erlbaum AssociatesGoogle Scholar
Bando, M. 1995 Phenomenological study of dynamical model of traffic flowJ. Phys. I France 5 1389CrossRefGoogle Scholar
Bekey, G. A. 1962
Brown, I. D.Tickner, A. H.Simmonds, D. C. V. 1969 Interference between Concurrent Tasks of Driving and TelephoningJournal of Applied Psychology 53 419CrossRefGoogle ScholarPubMed
Burnham, G. O.Seo, J.Bekey, G. A. 1974 Identification of Human Driver Models in Car FollowingIEEE Transactions on Automatic Control AC-19 911CrossRefGoogle Scholar
Chandler, R. E.Herman, R.Montroll, E. W. 1958 Traffic Dynamics: Studies in Car FollowingOperations Research 6CrossRefGoogle Scholar
Charlton, S. G.O’Brien, T. G. 2002 Handbook of Human Factors Testing and EvaluationLawrence Erlbaum AssociatesMahwah, NJGoogle Scholar
Chen, S.Sheridan, T. B.Kusunoki, H.Komoda, N. 1995
Chen, L. KUlsoy, A. G. 2001 Identification of Driver Steering Model, and Model Uncertainty, from Driving Simulator DataASME Journal of Dynamic Systems Measurement Control 123 623CrossRefGoogle Scholar
Chen, L. K.Ulsoy, A. G. 2002 Design of a Vehicle Steering Assist Controller Using Driver Model UncertaintyInternational Journal of Vehicle Autonomous Systems 1 111CrossRefGoogle Scholar
Chen, , L. K.Ulsoy, A. G. 2006 Experimental Evaluation of a Vehicle Steering Assist Controller Using A Driving SimulatorVehicle System Dynamics 44 223CrossRefGoogle Scholar
Davis, J. RSchmandt, C. M. 1989 The Back Seat Driver: Real Time Spoken Driving Instructions146Reekie, D. H. M.Case, E. R.Tsai, J.First Vehicle Navigation and Information Systems Conference (VNIS’89)New YorkInstitute of Electrical and Electronics EngineersGoogle Scholar
Dingus, T. AAntin, J. F.Hulse, M. C.Wierwille, W. W. 1988 1448
Dudek, C. LHutchinson, R. D.Stockton, W. R.Koppa, R. J.Richards, S. H.Mast, T. M. 1978 Human Factors Requirements for Real-Time Motorist Information Displays, Volume I – Design GuideWashington, DCU.S. Department of Transportation, Federal Highway AdministrationGoogle Scholar
Eby, D. W.Kostyniuk, L. P. 1999 An On-the-Road Comparison of In-Vehicle Navigation Assistance SystemsHuman Factors 41 295CrossRefGoogle Scholar
Esterberg, M. A.Sussman, E. D.Walter, R. A. 1986 Automotive Displays and Controls – Existing Technology and Future Trends86U.S. Department of Transportation, Federal Highway Administration, National Highway Traffic Safety AdministrationGoogle Scholar
Fuller, RSantos, J. A. 2002 Human Factors for Highway EngineersPergamon PressGoogle Scholar
Gazis, D. C.Herman, R.Rothery, R. W. 1961 Nonlinear Follow-the-Leader Models of Traffic FlowOperations Research 9 545CrossRefGoogle Scholar
Gipps, P. G. 1981 A Behavioral Car-Following Model for Computer SimulationTransportation Research-B 15B 105CrossRefGoogle Scholar
Godthelp, H.Kappler, W. 1988 Effects of Vehicle Handling Characteristics on Driving StrategyHuman Factors 30 219CrossRefGoogle Scholar
Godthelp, H.Milgram, P.Blaauw, G. J. 1984 The Development of a Time-Related Measure to Describe Driving StrategyHuman Factors 26 257CrossRefGoogle Scholar
Green, P. 1990 Vehicle Control and Human FactorsUniversity of MichiganGoogle Scholar
Hess, R. A.Modjtahedzadeh, A. 1990 3
Hosman, R. 1985 Laboratory and Moving-Base Simulator Experiments on Speed and Accuracy of Visual and Whole-Body Motion PerceptionProceedings of the IFAC Man-Machine SystemsVarese, ItalyGoogle Scholar
Hoyes, T. W.Stanton, N. A.Taylor, R. G. 1996 Risk Homeostasis Theory: A Study of Intrinsic CompensationSafety Science 22 77CrossRefGoogle Scholar
Hulse, M. C.Dingus, T. A.Fischer, T.Wierwille, W. W. 1989 The Influence of Roadway Parameters on Driver Perception of Attentional DemandAdvances in Industrial Ergonomics and Safety IFrancis451Google Scholar
International Standards Organization 1977 Road Vehicles – Passenger Cars – Location of Hand Controls, Indicators and Tell-TalesGenevaSwitzerland ISOGoogle Scholar
Kleinman, D. L.Baron, S.Levison, W. H. 1970 An Optimal Control Model of Human Response, Part I: Theory and ValidationAutomatica 6 357CrossRefGoogle Scholar
Kondo, MAjimine, A. 1968
Li, Y. TYoung, L. R.Meiry, J. L. 1965 Adaptive Functions of Man in Vehicle Control SystemsProceedings of the International Federation of Automatic Control SymposiumPaddington, EnglandGoogle Scholar
MacAdam, C. C. 1980 An Optimal Preview Control for Linear SystemsASME Journal of Dynamic Systems, Measurement, and Control 102 188CrossRefGoogle Scholar
MacAdam, C. C. 1981 Application of an Optimal Preview Control for Simulation of Closed-Loop Automobile DrivingIEEE Transactions on Systems, Man, and Cybernetics SMC-11 393CrossRefGoogle Scholar
MacAdam, C. C. 1983 Frequency Domain Methods for Analyzing the Closed-Loop Directional Stability and Maneuverability of Driver/Vehicle SystemsProceedings of the Conference on Modern Vehicle Design AnalysisDorgham, M.LondonGoogle Scholar
MacAdam, C. C. 1985 Computer Model Predictions of the Directional Response and Stability of Driver Vehicle Systems During Anti-Skid BrakingProceedings of the IMech E Conference on Antilock Braking Systems for Road VehiclesNewcomb, P.LondonGoogle Scholar
MacAdam, C. C. 1988
MacAdam, C. C. 1989 1
MacAdam, C. C. 2003 Understanding and Modeling the Human DriverVehicle System Dynamics 40 1101CrossRefGoogle Scholar
MacAdam, C. C.Sayers, M. W.Pointer, J. D.Gleason, M. 1990 Crosswind Sensitivity of Passenger Cars and the Influence of Chassis and Aerodynamic Properties on Driver PreferencesVehicle System Dynamics 19CrossRefGoogle Scholar
Macgregor, D. G.Slovic, P. 1989 Perception of Risk in Automotive SystemsHuman Factors: The Journal of the Human Factors and Ergonomics Society 31CrossRefGoogle ScholarPubMed
McLean, D.Newcomb, T. P.Spurr, R. T. 1976
McLean, J. RHoffman, E. R. 1971 Analysis of Drivers’ Control MovementsHuman Factors 13 407CrossRefGoogle Scholar
McLean, J. RHoffmann, E. R. 1972 The Effects of Lane Width on Driver Steering Control and PerformanceProceedings of the Sixth Australian Road Research Board Conference 6 418Google Scholar
McLean, J. R.Hoffmann, E. R. 1973 The Effects of Restricted Preview on Driver Steering Control and PerformanceHuman Factors 15 421CrossRefGoogle ScholarPubMed
McRuer, D. T.Hofmann, L. G.Jex, H.RMoore, G.P.Phatak, A.V.Weir, D.H.Wolkovitch, J. 1968
McRuer, D. T.Allen, R. W.Klein, R. H. 1977 New Results in Driver Steering Control ModelsHuman Factors 19 381CrossRefGoogle Scholar
McRuer, D. TKlein, R. 1975
McRuer, D. TKlein, R. 1975
Miller, D. CElkind, J. I 1967 The Adaptive Response of the Human Controller to Sudden Changes in Controlled Process DynamicsIEEE Transactions on Human Factors in Electronics HFE-8CrossRefGoogle Scholar
Mitschke, M. 1993 Driver-Vehicle Lateral Dynamics under Regular Driving ConditionsVehicle System Dynamics 22 483CrossRefGoogle Scholar
Modjtahedzadeh, A.Hess, R. A. 1991 A Model of Driver Steering Dynamics for Use in Assessing Vehicle Handling QualitiesVelinsky, S. A.Fries, R. H.Haque, I.D. Wang, D.Advanced Automotive Technologies-1991New York41Google Scholar
Mortimer, R. GJorgeson, C. M. 1972
Nagai, MMitschke, M. 1985 82
Newcomb, T. P. 1981
Newell, G. F. 1961 Nonlinear Effects in the Dynamics of Car FollowingOperations Research 9 209CrossRefGoogle Scholar
Pew, R. WBaron, S. 1982 Perspectives on Human Performance ModelingProceedings of IFAC Man-Machine SystemsBaden-BadenFederal Republic of GermanyGoogle Scholar
Phatak, A. V.Bekey, G. A. 1969 Model of the Adaptive BehaviorIEEE Transactions on Man-Machine Systems MMS-10 72CrossRefGoogle Scholar
Pilutti, T.Raschke, U.Koren, Y. 1990 Computerized Defensive Driving Rules for Highway ManeuversProceedings of the American Control ConferenceSan DiegoCA809Google Scholar
Pilutti, T.Ulsoy, A. G. 1999 Identification of Driver State for Lane-Keeping TasksIEEE Transactions on Systems, Man and Cybernetics 29Google Scholar
Pipes, L. A. 1953 An Operational Analysis of Traffic DynamicsJournal of Applied Physics 24CrossRefGoogle Scholar
Rashevsky, N. 1968 Mathematical Biology of Automobile DrivingBulletin of Mathematical Biophysics 30CrossRefGoogle ScholarPubMed
Sanders, M. SMcCormick, E. J. 1987 Human Factors in Engineering and DesignNew YorkMcGraw-Hill PublishersGoogle Scholar
Sheridan, T. B. 1964
Sheridan, T. B. 1966 Three Models of Preview ControlIEEE Transactions on Human Factors in Electronics HFE-7CrossRefGoogle Scholar
Sheridan, T. B. 1985
Sheridan, T. B. 2002 Humans and Automation: System Design and Research IssuesNew YorkGoogle Scholar
Snyder, H. LMonty, R. W. 1985 Methodology and Results for Driver Evaluation of Electronic Automotive DisplaysErgonomics International ’85514Google Scholar
Summala, H. 1996 Accident Risk and Driver BehaviourSafety Science 22 1103CrossRefGoogle Scholar
Tyler, J. S. 1964 The characteristics of model following systems as synthesizes by optimal controlIEEE Trans. Automatic Control 9CrossRefGoogle Scholar
Weir, D. H.Phatak, A. V. 1968 Model of Human Response to Step Transitions in Controlled Element DynamicsTechnical Report NASA CR-671Google Scholar
Weir, D.DiMarco, R. J.McRuer, D. T. 1977 803
Weir, D. H.McRuer, D. T. 1968 A Theory for Driver Steering Control of Motor VehiclesHighway Research Record 247 7Google Scholar
Wierwille, W. W.Antin, J. F.Dingus, T. A.Hulse, M. C. 1988 Visual Attentional Demand of an In-Car Navigation DisplayGale, A. G.Vision in Vehicles IIAmsterdamElsevierGoogle Scholar
Wierwille, W. W.Gagne, G. A.Knight, J. R. 1967 An Experimental Study of Human Operator Models and Closed-Loop Analysis Methods for High-Speed Automobile DrivingIEEE Transactions on Human Factors in Electronics HFE-8CrossRefGoogle Scholar
Wilde, G. J. S. 1994 Risk Homeostasis Theory and Its Promise for Improved SafetyTrimpop, R. M.Wilde, G. J. S.Challenges to Accident Prevention: The Issue of Risk Compensation ProcessesGroningen, The NetherlandsStyx PublicationsGoogle Scholar
Wolf, J. D.Barrett, M. F. 1978 Driver Vehicle Effectiveness Model Volume II804Washington, DCU.S. Department of TransportationGoogle Scholar
Young, L. RStark, L 1965 Biological Control Systems – A Critical Review and EvaluationNASA Contractor Report CR-190Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×