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电子驾驶观察量表(eDOS)加权评分系统的开发。

Development of a weighted scoring system for the Electronic Driving Observation Schedule (eDOS).

作者信息

Chen Yu-Ting, Gélinas Isabelle, Mazer Barbara

机构信息

Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), McGill University, Canada.

出版信息

MethodsX. 2020 Oct 12;7:101099. doi: 10.1016/j.mex.2020.101099. eCollection 2020.

Abstract

The electronic Driving Observation Schedule (eDOS) is a novel approach to assessing older drivers' performance in their everyday driving environment on their chosen routes. The original eDOS total score is generated using the count of driving errors, which does not account for distinct risk levels of different types of driving errors made in different complexity of driving environments. This study was conducted to create one score to represent the complexity of driving route during each eDOS observation and one weighted eDOS total score to represent older drivers' performance accounting for the risk of driving errors by their type and the complexity of maneuvers in their corresponding environments. A literature review, a two-round survey with 13 experts in driving evaluation, and iterative discussions between primary investigators were conducted for generating these scores. Two formulae were created to calculate a weighted maneuver/environmental complexity score and a weighted eDOS total score. •An advanced weighted score is created to represent one's on-road driving performance in their everyday driving environment not only using the count of driving errors, but also accounting for the risk level of each error.•The complexity of driving maneuver and environment in each on-road driving trip can be systematically rated.

摘要

电子驾驶观察量表(eDOS)是一种评估老年驾驶员在其日常驾驶环境中沿所选路线驾驶表现的新方法。原始的eDOS总分是通过计算驾驶错误次数得出的,这并未考虑在不同复杂程度的驾驶环境中所犯不同类型驾驶错误的不同风险水平。开展本研究是为了创建一个分数来代表每次eDOS观察期间驾驶路线的复杂程度,并创建一个加权eDOS总分来代表老年驾驶员的驾驶表现,该表现考虑了不同类型驾驶错误的风险以及相应环境中操作的复杂程度。为了生成这些分数,进行了文献综述、对13名驾驶评估专家进行两轮调查以及主要研究者之间的反复讨论。创建了两个公式来计算加权操作/环境复杂程度分数和加权eDOS总分。•创建了一个高级加权分数,不仅使用驾驶错误次数,还考虑每个错误的风险水平,以代表一个人在日常驾驶环境中的道路驾驶表现。•每次道路驾驶行程中驾驶操作和环境的复杂程度可以得到系统评级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ff/7666358/fc99c02df485/fx1.jpg

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