Literature DB >> 28160807

Evaluation of an in-vehicle monitoring system (IVMS) to reduce risky driving behaviors in commercial drivers: Comparison of in-cab warning lights and supervisory coaching with videos of driving behavior.

Jennifer L Bell1, Matthew A Taylor2, Guang-Xiang Chen3, Rachel D Kirk4, Erin R Leatherman5.   

Abstract

PROBLEM: Roadway incidents are the leading cause of work-related death in the United States.
METHODS: The objective of this research was to evaluate whether two types of feedback from a commercially available in-vehicle monitoring system (IVMS) would reduce the incidence of risky driving behaviors in drivers from two companies. IVMS were installed in 315 vehicles representing the industries of local truck transportation and oil and gas support operations, and data were collected over an approximate two-year period in intervention and control groups. In one period, intervention group drivers were given feedback from in-cab warning lights from an IVMS that indicated occurrence of harsh vehicle maneuvers. In another period, intervention group drivers viewed video recordings of their risky driving behaviors with supervisors, and were coached by supervisors on safe driving practices.
RESULTS: Risky driving behaviors declined significantly more during the period with coaching plus instant feedback with lights in comparison to the period with lights-only feedback (ORadj=0.61 95% CI 0.43-0.86; Holm-adjusted p=0.035) and the control group (ORadj=0.52 95% CI 0.33-0.82; Holm-adjusted p=0.032). Lights-only feedback was not found to be significantly different than the control group's decline from baseline (ORadj=0.86 95% CI 0.51-1.43; Holm-adjusted p>0.05).
CONCLUSIONS: The largest decline in the rate of risky driving behaviors occurred when feedback included both supervisory coaching and lights. PRACTICAL APPLICATIONS: Supervisory coaching is an effective form of feedback to improve driving habits in the workplace. The potential advantages and limitations of this IVMS-based intervention program are discussed. Published by Elsevier Ltd.

Entities:  

Keywords:  Driving; In-vehicle monitoring system; Injury; Motor vehicle; Occupational safety

Mesh:

Year:  2016        PMID: 28160807      PMCID: PMC5427714          DOI: 10.1016/j.jsr.2016.12.008

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  31 in total

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Authors:  Dov Zohar
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2.  The use and interpretation of quasi-experimental studies in infectious diseases.

Authors:  Anthony D Harris; Douglas D Bradham; Mona Baumgarten; Ilene H Zuckerman; Jeffrey C Fink; Eli N Perencevich
Journal:  Clin Infect Dis       Date:  2004-05-12       Impact factor: 9.079

3.  Using an event-triggered video intervention system to expand the supervised learning of newly licensed adolescent drivers.

Authors:  Cher Carney; Daniel V McGehee; John D Lee; Michelle L Reyes; Mireille Raby
Journal:  Am J Public Health       Date:  2010-04-15       Impact factor: 9.308

4.  An optimal solution for enhancing ambulance safety: implementing a driver performance feedback and monitoring device in ground emergency medical service vehicles.

Authors:  Nadine R Levick; Jon Swanson
Journal:  Annu Proc Assoc Adv Automot Med       Date:  2005

5.  Extending parental mentoring using an event-triggered video intervention in rural teen drivers.

Authors:  Daniel V McGehee; Mireille Raby; Cher Carney; John D Lee; Michelle L Reyes
Journal:  J Safety Res       Date:  2007-03-28

6.  Effects of in-vehicle monitoring on the driving behavior of teenagers.

Authors:  Charles M Farmer; Bevan B Kirley; Anne T McCartt
Journal:  J Safety Res       Date:  2010-01-29

7.  Seat Belt Use Among Adult Workers - 21 States, 2013.

Authors:  Winifred L Boal; Jia Li; Rosa L Rodriguez-Acosta
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2016-06-17       Impact factor: 17.586

8.  Obesity and other risk factors: the national survey of U.S. long-haul truck driver health and injury.

Authors:  W Karl Sieber; Cynthia F Robinson; Jan Birdsey; Guang X Chen; Edward M Hitchcock; Jennifer E Lincoln; Akinori Nakata; Marie H Sweeney
Journal:  Am J Ind Med       Date:  2014-01-04       Impact factor: 2.214

9.  A comparison of the effect of mobile phone use and alcohol consumption on driving simulation performance.

Authors:  Sumie Leung; Rodney J Croft; Melinda L Jackson; Mark E Howard; Raymond J McKenzie
Journal:  Traffic Inj Prev       Date:  2012       Impact factor: 1.491

10.  Vital signs: seat belt use among long-haul truck drivers--United States, 2010.

Authors:  Guang X Chen; James W Collins; W Karl Sieber; Stephanie G Pratt; Rosa L Rodríguez-Acosta; Jennifer E Lincoln; Jan Birdsey; Edward M Hitchcock; Cynthia F Robinson
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2015-03-06       Impact factor: 17.586

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  7 in total

1.  Assessing the Australian occupational driver behavior questionnaire in U.S. taxi drivers: Different country, different occupation and different worker population.

Authors:  Cammie Chaumont Menéndez; Richard Munoz; Timothy J Walker; Benjamin C Amick
Journal:  J Safety Res       Date:  2022-07-22

2.  In-Cabin Monitoring System for Autonomous Vehicles.

Authors:  Ashutosh Mishra; Sangho Lee; Dohyun Kim; Shiho Kim
Journal:  Sensors (Basel)       Date:  2022-06-08       Impact factor: 3.847

3.  Workers' compensation claim counts and rates by injury event/exposure among state-insured private employers in Ohio, 2007-2017.

Authors:  Steven J Wurzelbacher; Alysha R Meyers; Michael P Lampl; P Timothy Bushnell; Stephen J Bertke; David C Robins; Chih-Yu Tseng; Steven J Naber
Journal:  J Safety Res       Date:  2021-09-17

4.  Analytical observational study of nonfatal motor vehicle collisions and incidents in a light-vehicle sales and service fleet.

Authors:  Stephanie G Pratt; Jennifer L Bell
Journal:  Accid Anal Prev       Date:  2019-05-28

5.  Video feedback intervention for cognitively impaired older drivers: A randomized clinical trial.

Authors:  Brian R Ott; George D Papandonatos; Erin M Burke; Donna Erdman; David B Carr; Jennifer D Davis
Journal:  Alzheimers Dement (N Y)       Date:  2021-03-03

6.  Factors associated with different levels of daytime sleepiness among Korean construction drivers: a cross-sectional study.

Authors:  Yong Han Ahn; Sangeun Lee; Su Ryeon Kim; Jeeyeon Lim; So Jin Park; Sooyoung Kwon; Heejung Kim
Journal:  BMC Public Health       Date:  2021-11-05       Impact factor: 3.295

7.  Privacy-Preserved In-Cabin Monitoring System for Autonomous Vehicles.

Authors:  Ashutosh Mishra; Jaekwang Cha; Shiho Kim
Journal:  Comput Intell Neurosci       Date:  2022-04-22
  7 in total

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