Study of Human Driving Skill in Expected and Guided Conditions

This day, Human Machine System (HMS) consider being a proven technology, which has gained an important role in various human activities. One of the most recent developments in this area is Human Adaptive Mechatronics (HAM) approach for enhancing human skills. This approach therefore is different compared to an ordinary HMS, in terms of its ability to adapt to changes in its environment and in the human changing level of skills. The crucial issue in HAM is in evaluating the human skills level on machine operation. In this paper, a skill index to quantify the performance of human drivers is studied in expected and guided conditions. The experiments are carried out on human subjects in normal driving. From this experiment, a new skill index formula is proposed based on the logical conditions and the definition of skill in HAM.

[1]  M. Tomizuka,et al.  A Compact Rotary Series Elastic Actuator for Human Assistive Systems , 2012, IEEE/ASME Transactions on Mechatronics.

[2]  Fumio Harashima,et al.  Human adaptive mechatronics - interaction and intelligence , 2006, AMC 2006.

[3]  Hongming Cai,et al.  Creative design research of product appearance based on human–machine interaction and interface , 2002 .

[4]  Katsuhisa Furuta,et al.  Identification of dynamic characteristics in human operation , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[5]  Nurul Hawani Idris,et al.  Driving simulator development for human adaptive mechatronics application , 2013 .

[6]  R A Marottoli,et al.  Confidence in, and self-rating of, driving ability among older drivers. , 1998, Accident; analysis and prevention.

[7]  Fumio Harashima,et al.  Human adaptive mechatronics , 2005 .

[8]  Zaharuddin Mohamed,et al.  Skill index of human driver for human adaptive mechatronics , 2013 .

[9]  Torbjørn Rundmo,et al.  The effects of personality and gender on risky driving behaviour and accident involvement , 2006 .

[10]  Katsuhisa Furuta,et al.  Elucidation of skilled human controller on stabilization with voluntary motion , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[11]  D. Parker,et al.  Dimensions of driver anger, aggressive and highway code violations and their mediation by safety orientation in UK drivers , 1998 .

[12]  Yeung Yam,et al.  Performance evaluation and optimization of human control strategy , 2002, Robotics Auton. Syst..

[13]  Jessie Y. C. Chen,et al.  Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues , 2014, IEEE Transactions on Human-Machine Systems.

[14]  T. Lajunen,et al.  Driving experience, personality, and skill and safety-motive dimensions in drivers' self-assessments , 1995 .

[15]  S. Ertugrul,et al.  Intelligent Modeling of Human Driver: A Survey , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[16]  Hongnian Yu.  Overview of human adaptive mechatronics , 2008 .

[17]  Christopher D. Wickens,et al.  A model for types and levels of human interaction with automation , 2000, IEEE Trans. Syst. Man Cybern. Part A.