On-board safety monitoring systems for driving: Review, knowledge gaps, and framework

Journal of Safety Research

Volumn 43, Issue 1, 2012, Pages 49-58

  Horrey, William J ^a   Lesch, Mary F ^a   Dainoff, Marvin J ^a   Robertson, Michelle M ^a   Noy, Y Ian ^a  

^a LIBERTY MUTUAL RESEARCH INSTITUTE FOR SAFETY   (United States)

Author keywords

Commercial drivers; Driver safety; Lens model; On board safety monitoring systems; Teenage drivers

Indexed keywords

COMMERCIAL DRIVERS; DRIVER SAFETY; LENS MODEL; ON-BOARD SAFETY MONITORING SYSTEMS; TEENAGE DRIVERS;

ACCIDENT PREVENTION; ACCIDENTS; AUTOMOBILE DRIVERS; COMMERCIAL VEHICLES; MONITORING; ROADS AND STREETS;

BEHAVIORAL RESEARCH;

CAR; CAR DRIVING; HEALTH PROMOTION; HIGH RISK BEHAVIOR; HUMAN; METHODOLOGY; MORTALITY; OCCUPATIONAL HEALTH; PROTECTIVE EQUIPMENT; REVIEW; RISK FACTOR; SAFETY; STATISTICS; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; AUTOMOBILE DRIVING; AUTOMOBILES; HEALTH PROMOTION; HUMANS; OCCUPATIONAL HEALTH; PROTECTIVE DEVICES; RISK FACTORS; RISK-TAKING; SAFETY MANAGEMENT;

EID: 84857915075     PISSN: 00224375     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jsr.2011.11.004     Document Type: Article

References (51)

1. G.S. Alder, and M.L. Ambrose Towards understanding fairness judgments associated with computer performance monitoring: An integration of the feedback, justice, and monitoring research Human Resource Management Review 15 2005 43 67 (Pubitemid 40289740)
2. B.C. Amick III, and M.J. Smith Stress, computer-based work monitoring and measurement systems: A conceptual overview Applied Ergonomics 23 1 1992 6 16
3. A.M. Bisantz, and A.R. Pritchett Measuring the fit between human judgments and automated alerting algorithms: A study of collision detection Human Factors 45 2 2003 266 280 (Pubitemid 37087495)
4. E. Brunswik Perception and the representative design of psychological experiments 1956 University of California Press Berkeley
5. Bureau of Labor Statistics [BLS] National Census of Fatal Occupational Injuries in 2009 2010 United States Department of Labor Washington, DC (Online:) http://www.bls.gov/news.release/pdf/cfoi.pdf (Retrieved May 23, 2011)
6. R.W. Cooksey Judgment Analysis: Theory, Methods, and Applications 1996 Academic Press San Diego, CA
7. J.L. Creaser, M.N. Lees, and C. White The effect of insight and error-based feedback on young drivers' following behavior and confidence Proceedings of the Human Factors and Ergonomics Society 48th Annual Meeting 2004 HFES San Monica, CA 2261 2265
8. D.M. DeJoy Behavior change versus culture change: Divergent approaches to managing workplace safety Safety Science 43 2 2005 105 129
9. C.M. Farmer, B.B. Kirley, and A.T. McCartt Effects of in-vehicle monitoring on the driving behavior of teenagers Journal of Safety Research 41 2010 39 45
10. K. Hammond Probabilistic functionalism and the clinical method Psychological Review 62 1955 255 262
11. J.S. Hickman, and J. Hanowski Use of a video monitoring approach to reduce at-risk driving behaviors in commercial vehicle operations Transportation Research Part F 14 3 2011 189 198
12. G.R.J. Hockey Compensatory control in the regulation of human performance under stress and high workload: A cognitive-energetical framework Biological Psychology 45 1997 73 93
13. D.H. Holding Concepts in training G. Salvendy, Handbook of Human Factors 1987 John Wiley New York 939 962
14. W.J. Horrey, C.D. Wickens, R. Strauss, A. Kirlik, and T.R. Stewart Supporting situation assessment through attention guidance and diagnostic aiding: The benefits and costs of display enhancement on judgment skill A. Kirlik, Adaptive Perspectives on Human-Technology Interaction: Methods and Models for Cognitive Engineering and Human-Computer Interaction 2006 Oxford University Press New York 55 70
15. Y.H. Huang, M. Roetting, J.R. McDevitt, D. Melton, and G.S. Smith Feedback by technology: Attitudes and opinions of truck drivers Transportation Research Part F 8 2005 277 297 (Pubitemid 40973236)
16. K. Ivancic, and B. Hesketh Learning from errors in a driving simulation: Effects on driving skill and self-confidence Ergonomics 43 12 2000 1966 1984 (Pubitemid 32045678)
17. D. Kahneman Attention and effort 1973 Prentice-Hall Englewood Cliffs, NJ
18. N. Keith, and M. Frese Effectiveness of error management training: A meta-analysis Journal of Applied Psychology 93 1 2008 59 69
19. A. Kirlik Adaptive Perspectives on Human-Technology Interaction: Methods and Models for Cognitive Engineering and Human-Computer Interaction 2006 Oxford University Press New York
20. R.R. Knipling Individual Differences and the "High- Risk"Commercial Driver 2004 Transportation Research Board Washingotn, DC
21. R.R. Knipling Safety for the Long Haul; Large Truck Crash Risk, Causation, & Prevention 2009 American Trucking Association Arlington, VA
22. G. Lehmann, and A. Cheale The contribution of onboard recording systmes to road safety and accident analysis Proceedings of the 16th International Technical Conference on Enhanced Safety of Vehicles (ESV) 1998 462 466
23. N.R. Levick, and J. Swanson An optimal solution for enhancing ambulance safety: implementing a driver performance feedback and monitoring device in ground emergency medical service vehicles Proceedings of the Association for the Advancement of Automotive Medicine 49 2005 35 50 (Pubitemid 43226951)
24. M. London, and J.W. Smither Feedback orientation, feedback culture, and longitudinal performance management process Human Resource Management Review 12 2002 81 100 (Pubitemid 39659576)
25. T. Lotan, and T. Toledo Evaluating the safety implications and benefits of an in-vehicle data recorder to young drivers Proceedings of the Third International Symposium on Human Factors in Driver Assessment, Training and Vehicle Design 2005 University of Iowa Iowa City 448 455
26. T. Lotan, T. Toledo, and C.G. Prato Modeling the behavior of novice young drivers using data from in-vehicle recorders Proceedings of the Fifth International Symposium on Human Factors in Driver Assessment, Training and Vehicle Design 2009 University of Iowa Iowa City 491 498
27. J. Lund Electronic performance monitoring: A review of research issues Applied Ergonomics 23 1 1992 54 58
28. A.T. McCartt, C.M. Farmer, and J.W. Jenness Perceptions and experiences of participants in a study of in-vehicle monitoring of teenage drivers Traffic Injury Prevention 11 2010 361 370
29. D.V. McGehee, M. Raby, C. Carney, J.D. Lee, and M.L. Reyes Extending parental mentoring using an event-triggered video intervention in rural teen drivers Journal of Safety Research 38 2007 215 227 (Pubitemid 46661950)
30. L. McMurray Emotional stress and driving performance: The effect of divorce Behavioral Research in Highway Safety 1 2 1970 100 114
31. J.A. Michon A critical view of driver behaviour models: What do we know, what should we do? L. Evans, R.C. Schwing, Human Behaviour and Traffic Safety 1985 Plenum Press New York
32. J.A. Misener, C. Nowakowski, X.Y. Lu, T. Koo, J.D. Margulici, and J. Spring Onboard Monitoring and Reporting for Commercial Motor Vehicle Safety (Report No. FMCSA-RRT-07-030) 2007 Federal Motor Carrier Safety Administration Washington, DC
33. A.H. Murphy Skill scores based on the mean square error and their relationship to the correlation coefficient Monthly Weather Review 166 1988 2417 2424
34. O. Musicant, T. Lotan, and T. Toledo Safety correlation and implications of an in-vehicle data recorder on driver behavior Proceedings of the 2007 Annual Meeting of the Transportation Research Board 2007 TRB Washington, DC
35. National Highway Traffic Safety Administration [NHTSA] Traffic Safety Facts 2009 Early Ed. 2010 Author Washington, DC
36. A.R. Pritchett, and A.M. Bisantz Measuring the fit between human judgments and alerting systems: A study of collision detection in aviation A. Kirlik, Adaptive Perspectives on Human-Technology Interaction: Methods and Models for Cognitive Engineering and Human-Computer Interaction 2006 Oxford University Press New York 91 104
37. M. Roetting, Y.H. Huang, J.R. McDevitt, and D. Melton When technology tells you how to drive-Truck drivers' attitudes towards feedback by technology Transportation Research Part F 6 2003 275 287 (Pubitemid 37378821)
38. L.M. Schleifer Electronic performance monitoring (EPM) Applied Ergonomics 23 1 1992 4 5
39. M.L. Selzer, and A. Vinokur Role of life events in accident causation Mental Health and Society 2 1975 36 54
40. T.M. Senserrick, and G.C. Swinburne Evaluation of an Insight Driver Training Program for Young Drivers (Rep. 186) 2001 Monash University Accident Research Center Victoria, Australia
41. Y. Seong, A.M. Bisantz, and G.J. Gattie Trust, automation, and feedback: An integrated approach A. Kirlik, Adaptive Perspectives on Human-Technology Interaction: Methods and Models for Cognitive Engineering and Human-Computer Interaction 2006 Oxford University Press New York 105 113
42. P. Sherry In-Vehicle Monitoring Technologies: Review of Current Use and Potential Enhancement through Behaviorally Based Safety Processes (Report submitted to American Trucking Association Foundation) 2001 University of Denver Denver, CO
43. M.J. Smith, and P.C. Carayon New technology, automation and work organization: Stress problems and improved technology implementation strategies International Journal of Human Factors in Manufacturing 5 1995 99 116
44. M.J. Smith, P. Carayon, and K. Miezio Motivational, Behavioral and Psychological Implications of Electronic Monitoring of Worker Performance 1986 Office of Technology Assessment, U.S. Congress Washington, DC
45. T.R. Stewart A decomposition of the correlation coefficient and its use in analyzing forecasting skill Weather and Forecasting 5 1990 661 666
46. T.R. Stewart, K.F. Heideman, W.R. Moniger, and P. Reagan-Cirincione Effects of improved information on the components of skill in weather forecasting Organizational Behavior and Human Decision Processes 53 1992 107 134
47. T. Toledo, and T. Lotan In-vehicle data recorder for evaluation of driving behavior and safety Transportation Research Record 1953 2006 112 119 (Pubitemid 44877611)
48. T. Toledo, O. Musicant, and T. Lotan In-vehicle data recorders for monitoring and feedback on drivers' behavior Transportation Research Part C 16 2008 320 331
49. D.L. Wells, R.H. Moorman, and J.M. Werner The impact or perceived purpose of electronic performance monitoring on an array of attitudinal variables Human Resource Development Quarterly 18 1 2007 121 138
50. R.S. Wigton What do the theories of Egon Brunswik have to say to medical education? Advances in Health Sciences Education 13 1 2008 109 121
51. P.I.J. Wouters, and J.M.J. Bos Traffic accident reduction by monitoring driver behaviour with in-car data recorders Accident Analysis and Prevention 32 2000 643 650