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Application of global positioning system and questionnaires data for the study of driver behaviour on two-lane rural roads

机译:全球定位系统和问卷调查数据在两车道乡村道路驾驶员行为研究中的应用

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摘要

Methodologies based on naturalistic observation provide the most accurate data for studying drivers' behaviour. This study presents a new methodology to obtain naturalistic data related to drivers' behaviour in a road segment. It is based on the combination of using global positioning system data and drivers' questionnaires. The continuous speed profiles along a road segment and the characteristics of drivers, of their trips and the type of their vehicles can be obtained for a great amount of drivers. It has already been successfully used for several studies, such as the development of models to estimate operating speed profile in two-lane rural road segments; or the characterisation of driving styles. These operating speed models have been the key for the development of a new geometric design consistency model, allowing an easier road safety evaluation. Besides, knowledge on the human factors that influence speed choice may be useful for road safety media campaigns and education programs designers, and also for the improvement of intelligent driver assistance systems.
机译:基于自然主义观察的方法为研究驾驶员的行为提供了最准确的数据。这项研究提出了一种新的方法来获取与路段中驾驶员行为有关的自然数据。它基于使用全球定位系统数据和驾驶员问卷的结合。对于大量的驾驶员,可以获得沿路段的连续速度分布图以及驾驶员的特征,其行程和车辆类型。它已被成功地用于多项研究,例如开发模型来估算两车道农村公路路段的行驶速度曲线;或驾驶风格的特征这些运行速度模型一直是开发新的几何设计一致性模型的关键,从而使道路安全评估更加容易。此外,有关影响速度选择的人为因素的知识可能对道路安全媒体宣传活动和教育计划设计人员,以及对智能驾驶员辅助系统的改进很有用。

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