Haptic gas pedal feedback for active car-following support

The research presented in this dissertation focuses on supporting drivers in the longitudinal control of their vehicle during car-following. The goal of the research is the human-centred development of a haptic gas pedal interface that comfortably supports drivers in maintaining a safe separation with a leading vehicle during car-following. Two different approaches were found to be suitable for implementation as haptic information providers through the gas pedal. The first approach was to add a force to the gas pedal dynamics which would have to be related to the safe-field-of-travel ahead of the own vehicle and changes therein. The gas pedal dynamics, that is, the force/pedal-position relationship is not changed by this approach. The second approach was to change the stiffness of the gas pedal by adding a virtual stiffness to the inherent stiffness of the gas pedal. By doing so, the dynamics of the gas pedal are changed depending on the changes detected in the safe-field-of-travel. In both approaches, an electrical actuator provides the additional force or stiffness. The main hypothesis of this dissertation is the assumption that with the appropriate haptic feedback of longitudinal traffic information drivers will adopt a force-task in controlling the haptic gas pedal. Experimental verification leads to the conclusion that the stiffness feedback design with time-to-contact information scaled by time headway performs best in this respect.

[1]  V Cavallo,et al.  Visual Information and Skill Level in Time-To-Collision Estimation , 1988, Perception.

[2]  René van Paassen,et al.  Design of a Rally Driver Support System using Ecological Interface Design Principles , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[3]  Thomas B. Sheridan,et al.  Man-machine systems;: Information, control, and decision models of human performance , 1974 .

[4]  Thomas A. Dingus,et al.  Human Factors Field Evaluation of Automotive Headway Maintenance/Collision Warning Devices , 1997, Hum. Factors.

[5]  P. McLeod.  A Dual Task Response Modality Effect: Support for Multiprocessor Models of Attention , 1977 .

[6]  Neville A Stanton,et al.  Taking the load off: investigations of how adaptive cruise control affects mental workload , 2004, Ergonomics.

[7]  Frans C. T. van der Helm,et al.  Admittance measurements of the foot during 'maintain position' and 'relax' tasks on a gas pedal , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[8]  Michael A. Goodrich,et al.  Designing human-centered automation: trade-offs in collision avoidance system design , 2000, IEEE Trans. Intell. Transp. Syst..

[9]  Max Donath,et al.  Sensor-based virtual bumpers for collision avoidance: configuration issues , 1995, Other Conferences.

[10]  E. Boer.  Car following from the driver’s perspective , 1999 .

[11]  Max Donath,et al.  Distributed impedance control of an n DOF serial link manipulator using interpolation theory , 1992 .

[12]  Maria L. Gini,et al.  Robot navigation in a known environment with unknown moving obstacles , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[13]  李幼升,et al.  Ph , 1989 .

[14]  Donald A Gordon.  THE DRIVER IN SINGLE LANE TRAFFIC , 1971 .

[15]  Alfred C. Schouten,et al.  Proprioceptive reflexes and neurological disorders , 2004 .

[16]  Max Mulder,et al.  Cybernetics of Tunnel-in-the-Sky Displays , 1999 .

[17]  Frans C. T. van der Helm,et al.  Identification of intrinsic and reflexive components of human arm dynamics during postural control , 2002, Journal of Neuroscience Methods.

[18]  Wassim G. Najm,et al.  EXAMINATION OF CRASH CONTRIBUTING FACTORS USING NATIONAL CRASH DATABASES , 2003 .

[19]  Thomas A. Dingus,et al.  Warning Signal Design: A Key Human Factors Issue in an In-Vehicle Front-To-Rear-End Collision Warning System , 1992 .

[20]  René van Paassen,et al.  Reaction-time task during car-following with an active gas pedal , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[21]  Mike McDonald,et al.  Close following on the motorway: initial findings of an instrumented vehicle study , 1999 .

[22]  Mike McDonald,et al.  Motorway driver behaviour: studies on car following , 2002 .

[23]  Jens Rasmussen,et al.  Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[24]  Jeroen Hogema.  Modelling of individual car-following behaviour , 1996 .

[25]  Katja Vogel,et al.  A comparison of headway and time to collision as safety indicators. , 2003, Accident; analysis and prevention.

[26]  Avishai Ceder.  Stable Phase-Plane and Car-Following Behavior as Applied to a Macroscopic Phenomenon , 1979 .

[27]  René van Paassen,et al.  Weighted two-dimensional longitudinal impedance for driving support system , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[28]  J. Gibson.  The Ecological Approach to Visual Perception , 1979 .

[29]  Yoram Koren,et al.  The vector field histogram-fast obstacle avoidance for mobile robots , 1991, IEEE Trans. Robotics Autom..

[30]  Duane T. McRuer,et al.  A Review of Quasi-Linear Pilot Models , 1967 .

[31]  David N. Lee,et al.  A Theory of Visual Control of Braking Based on Information about Time-to-Collision , 1976, Perception.

[32]  A Heino,et al.  Choice of time-headway in car-following and the role of time-to-collision information in braking. , 1996, Ergonomics.

[33]  Christina M. Rudin-Brown,et al.  BEHAVIOURAL ADAPTATION TO ADAPTIVE CRUISE CONTROL (ACC): IMPLICATIONS FOR PREVENTIVE STRATEGIES , 2004 .

[34]  S. S. Stevens.  On the psychophysical law. , 1957, Psychological review.

[35]  Michael J. Goodman,et al.  The role of driver inattention in crashes: new statistics from the 1995 crashworthiness data system , 1996 .

[36]  R. Mortimer,et al.  Drivers' estimates of time to collision. , 1994, Accident; analysis and prevention.

[37]  Mike McDonald,et al.  Low speed car following behaviour from floating vehicle data , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[38]  David Shinar,et al.  Minimum and Comfortable Driving Headways: Reality versus Perception , 2001, Hum. Factors.

[39]  D Regan,et al.  Accuracy of estimating time to collision using binocular and monocular information , 1998, Vision Research.

[40]  Alison Smiley,et al.  Behavioral Adaptation, Safety, and Intelligent Transportation Systems , 2000 .

[41]  Charles E. Billings,et al.  Aviation Automation: The Search for A Human-centered Approach , 1996 .

[42]  H Godthelp,et al.  Intelligent accelerator: an element of driver support , 1993 .

[43]  S. Ando,et al.  Practice Effects on Reaction Time for Peripheral and Central Visual Fields , 2002, Perceptual and motor skills.

[44]  Michael A. Goodrich,et al.  Model-based human-centered task automation: a case study in ACC system design , 2003, IEEE Trans. Syst. Man Cybern. Part A.

[45]  W Schiff,et al.  Information Used in Judging Impending Collision , 1979, Perception.

[46]  J. Gibson,et al.  A theoretical field-analysis of automobile-driving , 1938 .

[47]  Ezra S. Krendel,et al.  Mathematical Models of Human Pilot Behavior , 1974 .

[48]  René van Paassen,et al.  Effects of lead vehicle speed and separation distance on driver car-following behavior , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[49]  E. De Vlugt,et al.  Identification of Spinal Reflexes , 2004 .

[50]  Håkan Alm,et al.  GIDS functions , 1993 .

[51]  Michael A. Goodrich,et al.  Learning haptic feedback for guiding driver behavior , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[52]  Ronald R. Knipling,et al.  Assessment of IVHS countermeasures for collision avoidance : rear-end crashes , 1993 .

[53]  Louis Tijerina,et al.  PRELIMINARY STUDIES IN HAPTIC DISPLAYS FOR REAR-END COLLISION AVOIDANCE SYSTEM AND ADAPTIVE CRUISE CONTROL SYSTEM APPLICATIONS , 2000 .

[54]  Frans C. T. van der Helm,et al.  Force perception measurements at the foot , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[55]  René van Paassen,et al.  Identification of driver car-following behaviour , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[56]  G. J. Blaauw.  Car driving as a supervisory control task , 1984 .

[57]  Frans C. T. van der Helm,et al.  Adaptation of reflexive feedback during arm posture to different environments , 2002, Biological Cybernetics.

[58]  András Várhelyi.  Speed management via in-car devices: effects, implications, perspectives , 2002 .

[59]  David A. Abbink,et al.  Neuromuscular analysis of haptic gas pedal feedback during car following , 2006 .

[60]  Magnus Hj,et al.  Speed regulation by in-car active accelerator pedal Effects on driver behaviour , 2004 .

[61]  J. Christian Gerdes,et al.  A Unified Approach to Driver Assistance Systems Based on Artificial Potential Fields , 1999, Dynamic Systems and Control.

[62]  J. G. Hollands,et al.  Engineering Psychology and Human Performance , 1984 .

[63]  R Fuller,et al.  A conceptualization of driving behaviour as threat avoidance. , 1984, Ergonomics.

[64]  J R Treat,et al.  TRI-LEVEL STUDY OF THE CAUSES OF TRAFFIC ACCIDENTS: FINAL REPORT , 1979 .

[65]  Andras Varhelyi,et al.  SPEED REGULATION BY IN-CAR ACTIVE ACCELERATOR PEDAL : EFFECTS ON SPEED AND SPEED DISTRIBUTION , 2002 .

[66]  Kazutaka Adachi,et al.  Design of a headway distance control system for ACC , 2001 .

[67]  J. Schoukens,et al.  Peak factor minimization using a time-frequency domain swapping algorithm , 1988 .