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High-Risk Commercial Motor Vehicle Drivers and Differential Crash Risk Future Directions

机译:高风险的商用机动车司机和差动碰撞风险未来方向

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Recent studies by Lancaster and Ward (2002) and by Dewer and Olson (2002) have shown large differences in safety risk among individual commercial motor vehicle (CMV) drivers. Similarly, a TRB-sponsored synthesis study (Knipling et al. 2004) of individual differences in risk among CMV drivers found that a relatively small percentage of CMV drivers are associated with a significant and inordinate percentage of the overall motor carrier crash risk. The finding of differential crash risk among CMV drivers along many safety-related personal dimensions actually presents a huge opportunity to the trucking industry and government safety officials. If 15% of the drivers represent 50% of the crash risk, efforts directed at those 15% of drivers could yield significant safety benefits. Currently, kernels of knowledge suggest that certain factors are associated with high-risk driving. However, no comprehensive model quantifies the relative weights of individual factors or elucidates how these factors interact with each other. Further, no one study has included all these factors, nor have they been studied under naturalistic driving conditions. It is certainly possible that some unknown determinant is responsible for high-risk driving, and thus a naturalistic driving study seems most appropriate to determine this knowledge. This paper highlights key findings from the Knipling et al. (2004) synthesis report, as well as future research directions to reduce the high-risk driver problem in truck and bus safety and thereby achieve significant reductions in overall fleet and industry crash risk.
机译:Lancaster和Ward(2002)和Dewer和Olson(2002)最近的研究表明了个别商业机动车(CMV)司机之间的安全风险差异。同样,CMV驱动器之间的特性综合研究(KNIPLING等人2004)的个体差异发现,相对较小的CMV驱动器百分比与整体机动载体碰撞风险的显着和过度百分比相关。沿着许多安全相关的个人尺寸的CMV驱动程序在CMV驱动器中发现差异碰撞风险实际上为卡车运输行业和政府安全官员提供了巨大的机会。如果15%的司机占碰撞风险的50%,则在那些15%的司机指示的努力可能会产生重大的安全福利。目前,知识内核表明某些因素与高风险驾驶相关。但是,没有全面的模型量化各个因素的相对重量或阐明这些因素如何彼此相互作用。此外,没有一项研究包括所有这些因素,也没有在自然驾驶条件下进行研究。肯定可能是一些未知的决定因素负责高风险驾驶,因此自然驾驶研究似乎最适合确定这种知识。本文突出了Knipling等人的主要发现。 (2004)综合报告,以及未来的研究方向,以减少卡车和总线安全性的高风险驾驶员问题,从而实现整体舰队和行业碰撞风险的显着减少。

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