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利用自然驾驶数据对驾驶员在十字路口使用手机行为的研究。

Examination of drivers' cell phone use behavior at intersections by using naturalistic driving data.

作者信息

Xiong Huimin, Bao Shan, Sayer James, Kato Kazuma

机构信息

University of Michigan Transportation Research Institute, United States.

出版信息

J Safety Res. 2015 Sep;54:89-93. doi: 10.1016/j.jsr.2015.06.012. Epub 2015 Aug 4.

Abstract

INTRODUCTION

Many driving simulator studies have shown that cell phone use while driving greatly degraded driving performance. In terms of safety analysis, many factors including drivers, vehicles, and driving situations need to be considered. Controlled or simulated studies cannot always account for the full effects of these factors, especially situational factors such as road condition, traffic density, and weather and lighting conditions. Naturalistic driving by its nature provides a natural and realistic way to examine drivers' behaviors and associated factors for cell phone use while driving.

METHOD

In this study, driving speed while using a cell phone (conversation or visual/manual tasks) was compared to two baselines (baseline 1: normal driving condition, which only excludes driving while using a cell phone, baseline 2: driving-only condition, which excludes all types of secondary tasks) when traversing an intersection.

RESULTS

The outcomes showed that drivers drove slower when using a cell for both conversation and visual/manual (VM) tasks compared to baseline conditions. With regard to cell phone conversations, drivers were more likely to drive faster during the day time compared to night time driving and drive slower under moderate traffic compared to under sparse traffic situations. With regard to VM tasks, there was a significant interaction between traffic and cell phone use conditions. The maximum speed with VM tasks was significantly lower than that with baseline conditions under sparse traffic conditions. In contrast, the maximum speed with VM tasks was slightly higher than that with baseline driving under dense traffic situations.

PRACTICAL APPLICATIONS

This suggests that drivers might self-regulate their behavior based on the driving situations and demand for secondary tasks, which could provide insights on driver distraction guidelines. With the rapid development of in-vehicle technology, the findings in this research could lead the improvement of human-machine interface (HMI) design as well.

摘要

引言

许多驾驶模拟器研究表明,开车时使用手机会严重降低驾驶性能。在安全分析方面,需要考虑许多因素,包括驾驶员、车辆和驾驶情况。对照研究或模拟研究无法总是考虑到这些因素的全部影响,尤其是诸如道路状况、交通密度以及天气和照明条件等情境因素。自然驾驶本质上提供了一种自然且现实的方式,来研究驾驶员在开车时使用手机的行为及相关因素。

方法

在本研究中,将使用手机(通话或视觉/手动任务)时的驾驶速度与两个基线进行了比较(基线1:正常驾驶条件,即仅排除开车时使用手机的情况;基线2:仅驾驶条件,即排除所有类型的次要任务),这是在车辆通过十字路口时进行的比较。

结果

结果表明,与基线条件相比,驾驶员在使用手机进行通话和视觉/手动(VM)任务时开车速度较慢。关于手机通话,与夜间驾驶相比,驾驶员在白天更有可能开得更快;与稀疏交通状况相比,在中等交通情况下开得较慢。关于VM任务,交通状况和手机使用条件之间存在显著的交互作用。在稀疏交通状况下,执行VM任务时的最高速度显著低于基线条件下的最高速度。相比之下,在密集交通状况下,执行VM任务时的最高速度略高于基线驾驶时的最高速度。

实际应用

这表明驾驶员可能会根据驾驶情况和对次要任务的需求来自我调节行为,这可为驾驶员分心指南提供见解。随着车载技术的快速发展,本研究的结果也可能会引领人机界面(HMI)设计的改进。

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