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评估重型货车驾驶员监控和指导对减少危险行为的影响。

Evaluating the impact of Heavy Goods Vehicle driver monitoring and coaching to reduce risky behaviour.

机构信息

School of Computer Science, The University of Nottingham, United Kingdom.

School of Computer Science, The University of Nottingham, United Kingdom.

出版信息

Accid Anal Prev. 2020 Oct;146:105754. doi: 10.1016/j.aap.2020.105754. Epub 2020 Sep 12.

Abstract

Determining the impact of driver-monitoring technologies to improve risky driving behaviours allows stakeholders to understand which aspects of onboard sensors and feedback need enhancement to promote road safety and education. This study investigates the influence of camera monitoring on Heavy Goods Vehicle (HGV) drivers' risky behaviours. We also assess whether monitoring affects individual driving events further when coupled with safe driving practices coaching. We evaluate the outcome of those practices on three telematics incidents heavily reliant on driving errors and violations, i.e., the number of vehicle harsh braking, harsh cornering and over speeding incidents. The objective is to understand how frequently individual incidents caused by risky driving behaviour occur (a) without camera monitoring and without any coaching; (b) after camera installation; and (c) after camera installation and coaching. We investigate two commercial HGV companies (Company 1 and Company 2) with 263 and 269 vehicles, respectively, over a 16 months period, from which the first 8 months contain data collected before the installation of cameras (baseline) and the rest of the dataset contains incident counts after the installation of cameras (intervention). Company 1 provides coaching during the intervention phase while Company 2 does not offer coaching. Our analysis considers the baseline and the intervention phases during the same seasons to eliminate any possible bias due to the influence of weather on driving behaviour. Results show an overall significant reduction in the mean frequency of harsh braking incidents from baseline to intervention by 16.82% in Company 1 and 4.62% in Company 2, and a significant reduction in the mean frequency of over speeding incidents from baseline to intervention by 34.29% in Company 1 and 28.13% in Company 2. Furthermore, the effect of coaching has a significant difference in reducing the frequency of harsh braking (p = .011) and harsh cornering (p < .001) compared to just camera monitoring. These results suggest that coaching interventions are more effective in reducing driving errors while monitoring reduces both driving errors and violations.

摘要

确定驾驶员监控技术对改善高风险驾驶行为的影响,使利益相关者能够了解车载传感器和反馈的哪些方面需要改进,以促进道路安全和教育。本研究调查了摄像头监控对重型货车(HGV)驾驶员高风险行为的影响。我们还评估了在与安全驾驶实践指导相结合时,监控是否会进一步影响个人驾驶事件。我们评估了这些实践在三个严重依赖驾驶错误和违规的远程信息处理事件中的结果,即车辆急刹车、急转弯和超速事件的次数。目的是了解(a)在没有摄像头监控和没有任何指导的情况下,(b)在安装摄像头后,以及(c)在安装摄像头和指导后,由于高风险驾驶行为导致的个别事件发生的频率。我们调查了两家商业 HGV 公司(公司 1 和公司 2),它们分别有 263 辆和 269 辆车,在 16 个月的时间内进行了调查,其中前 8 个月的数据是在安装摄像头之前收集的(基线),其余数据集包含安装摄像头后的事件计数(干预)。公司 1 在干预阶段提供指导,而公司 2 不提供指导。我们的分析考虑了同一季节的基线和干预阶段,以消除天气对驾驶行为影响的任何可能偏差。结果表明,在公司 1 中,从基线到干预,急刹车事件的平均频率总体显著降低了 16.82%,在公司 2 中降低了 4.62%;在公司 1 中,从基线到干预,超速事件的平均频率显著降低了 34.29%,在公司 2 中降低了 28.13%。此外,与仅摄像头监控相比,指导干预在降低急刹车(p=0.011)和急转弯(p<0.001)的频率方面有显著差异。这些结果表明,在减少驾驶错误方面,指导干预比监控更有效,而监控则可以减少驾驶错误和违规。

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