Traffic Safety Impact Factors Related to Changing the Vehicles Among Drivers in Closed Systems

  • Milan Božović University of Belgrade, Faculty of transport and traffic engineering
  • Dalibor Pešić University of Belgrade, The Faculty of Transport and Traffic Engineering
  • Jelica Davidović University of Belgrade, The Faculty of Transport and Traffic Engineering
  • Boris Antić University of Belgrade, The Faculty of Transport and Traffic Engineering
  • Milan Simeunović University of Novi Sad, Faculty Technical Sciences
Keywords: driver training, work related road deaths, braking force, brake pedal force, braking coefficient

Abstract

Work-related road accidents are estimated to con-tribute to at least one quarter to over one third of all work-related deaths. Changing the vehicle has a major impact on traffic safety. Some studies have shown that drivers’ knowledge and practical driver training can improve traffic safety when changing vehicles. The aim of this paper is to determine whether there is an impact of the vehicle change on traffic safety. The research was conducted at the location with cylinders, braking coeffi-cient sensors, and brake pedal force detector, as well as with ten different passenger car brands and types. At the time of the research, all cars were registered and used daily in traffic. Prior to the research, the precision of the measuring instruments at the research site was checked. On the basis of the results, it can be concluded that there are two significant factors: the vehicle and the driver who needs to be trained before starting to drive a new ve-hicle. When changing the vehicle brand and type within the company, it is necessary to conduct systemic training of drivers which would include theoretical and practical parts and involve at least braking, driver distraction, and active and passive vehicle safety.

References

World Health Organization. Global Health Estimates. 2018. Available from: http://www.who.int/healthinfo/global_burden_disease/en/.

World Health Organization. Global plan decade of action for road safety 2021-2030. 2021. Available from https://www.who.int/teams/social-determinants-of-health/safety-and-mobility/decade-of-action-for-road-safety-2021-2030.

Peden M, et al. (eds.) World Report on Road Traffic Injury Prevention. Geneva, Switzerland: World Health Organization, World Bank; 2004.

Royal Society for the Prevention of Accidents, National Occupational Safety and Health Committee. Comments on 'Adapting to change in work and society: A new Community strategy on health and safety at work 2002-2006. COM 118 final, 2002.

Newnam S, Watson B, Murray W. A comparison of the factors influencing the safety of work-related drivers in work and personal vehicles. Proceedings of the 2002 Road Safety Research, Policing and Education Conference. Adelaide: Transport SA; 2002. p. 488–495.

Driscoll T, et al. Comparison of fatalities from work related motor vehicle traffic incidents in Australia, New Zealand, and the United States. Inj. Prev. 2005;11(5): 294–299. doi: 10.1136/ip.2004.008094.

ISO 39001: Road Traffic Safety (RTS) management systems - Requirements with Guidance for Use. Geneva, Switzerland: International Organization for Standardization; 2012.

Apostolopoulos Y, Lemke M, Sonmez S. Risks endemic to long-haul trucking in North America: Strategies to protect and promote driver well-being. New Solutions: A J. Environ. Occup. Health Policy. 2014;24(1): 57–81. doi: 10.2190/NS.24.1.c.

Cirjaliu B, Weinschrott H, Gaureanu A, Boatca EM. A Proposal for a Risk Assessment Management in a Transport Company. Procedia Economics and Finance. 2016;39: 229–234. doi: 10.1016/S2212-5671(16)30317-3.

Warmerdam A, et al. Workplace road safety risk management: An investigation into Australian practices. Accident Analysis & Prevention. 2017;98: 64–73. doi: 10.1016/j.aap.2016.09.014.

Newnam S, Goode N. Don’t blame the driver: A systems analysis of the causes of road freight crashes. Accid. Anal. Prev. 2015;76: 141–151. doi: 10.1016/j.aap.2015.01.016.

Newnam S, Goode N, Salmon P, Stevenson M. Reforming the road freight transportation system using systems thinking: An investigation of Coronial inquests in Australia. Accid. Anal. Prev. 2017a;101: 28–36. doi: 10.1016/j.aap.2017.01.016.

Newnam S, et al. Do management practices support or constrain safe driving behaviour? A multi-level investigation in a sample of occupational drivers. Acc. Anal. Prev. 2017b;102: 101–109. doi: 10.1016/j.aap.2017.02.007.

Belzer MH, Sedo SA. Why do long distance truck drivers work extremely long hours? The Economic and Labour Relations Review. 2018;29(1): 59–79. doi: 10.1177/1035304617728440.

Shen Y, et al. Towards better road safety management: Lessons learned from inter-national benchmarking. Accident Analysis & Prevention. 2020;138: 105484. doi: 10.1016/j.aap.2020.105484.

Susniene D, Jurkauskas A. Stakeholder approach in the management of public transport companies. Transport. 2008;23(3): 214–220. doi: 10.3846/1648-4142.2008.23.214-220.

Newnam S, Oxley J. A program in safety management for the occupational driver: Conceptual development and implementation case study. Safety Science. 2016;84: 238–244. doi: 10.1016/j.ssci.2015.12.020.

Davidović J, Pešić D, Antić B. Professional drivers’ fatigue as a problem of the modern era. Transportation Research Part F: Traffic Psychology and Behaviour. 2018;55: 199–209. doi: 10.1016/j.trf.2018.03.010.

Davidović Ј, Pešić D, Lipovac K, Antić B. The significance of the development of road safety performance indicators related to driver fatigue. Transportation Research Procedia. 2020;45: 333–342. doi: 10.1016/j.trpro.2020.03.024.

Nævestad TO, Blom J, Phillips RO. Safety culture, safety management and accident risk in trucking companies. Transportation Research Part F: Traffic Psychology and Behaviour. 2020;73: 325–347. doi: 10.1016/j.trf.2020.07.001.

Arboleda A, Morrow PC, Crum MR, Shelley MC. Management practices as antecedents of safety culture within the trucking industry: Similarities and differences by hierarchical level. J. Saf. Res. 2003;34: 189–197. doi: 10.1016/S0022-4375(02)00071-3.

Malkin J, et al. Long-haul truck driver training does not meet driver needs in Canada. Safety and Health at Work. 2021;12(1): 35–41. doi: 10.1016/j.shaw.2020.09.001.

Newnam S, Muir C. Reforming the future of workplace road safety using systems-thinking workplace road safety surveillance. Safety Science. 2021;138: 105225. doi: 10.1016/j.ssci.2021.105225.

Pardo-Ferreira M, Rubio-Romero JC, Carmen Galindo-Reyes F, Lopez-Arquillos A. Work-related road safety: The impact of the low noise levels produced by electric vehicles according to experienced drivers. Safety Science. 2020;121: 580–588. doi: 10.1016/j.ssci.2019.02.021.

Rauh N, Gunther M, Krems FJ. Positive influence of practical electric vehicle driving experience and range related knowledge on drivers’ experienced range stress. Transportation Research Part F: Traffic Psychology and Behaviour. 2020;71: 182–197. doi: 10.1016/j.trf.2020.03.013.

Ericsson K, Towne TJ. Expertise. Wiley Interdisciplinary Reviews: Cognitive Science. 2010;1(3): 404–416. doi: 10.1002/wcs.47.

Ericsson KA. The influence of experience and deliberate practice on the development of superior expert performance. In: Ericsson K, Charness N, Feltovich P, Hoffman R. (eds.) The Cambridge handbook of expertise and expert performance. Cambridge: Cambridge University Press; 2006. p. 685–706. doi: 10.1017/CBO9780511816796.038.

Vivoda MJ, Pratt GS, Gillies JS. The relationships among roadway safety management practices, collision rates, and injury rates within company fleets. Safety Science. 2019;120: 589–602. doi: 10.1016/j.ssci.2019.07.033.

Bell JL, et al. 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. J. Saf. Res. 2017;60: 125–136. doi: 10.1016/j.jsr.2016.12.008.

Hickman JS, Hanowski RJ. Use of a video monitoring approach to reduce at-risk driving behaviors in commercial vehicle operations. Transp. Res. Part F: Traff. Psychol. Behav. 2011;14(3): 189–198. doi: 10.1016/j.trf.2010.11.010.

Published
2022-05-31
How to Cite
1.
Božović M, Pešić D, Davidović J, Antić B, Simeunović M. Traffic Safety Impact Factors Related to Changing the Vehicles Among Drivers in Closed Systems . Promet [Internet]. 2022May31 [cited 2022Nov.29];34(3):421-30. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/4062
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Articles