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驾驶员超越自行车骑行者的研究:基于自然驾驶数据的考察。

Drivers overtaking bicyclists-An examination using naturalistic driving data.

机构信息

University of Michigan Transportation Research Institute, 2901 Baxter Road, Ann Arbor, 48109, MI, USA.

University of Michigan Transportation Research Institute, 2901 Baxter Road, Ann Arbor, 48109, MI, USA.

出版信息

Accid Anal Prev. 2018 Jun;115:98-109. doi: 10.1016/j.aap.2018.03.010. Epub 2018 Mar 15.

Abstract

This paper demonstrates a unique and promising approach to study driver-bicyclist interactions from a driver's perspective by using in-vehicle sensory data from naturalistic driving studies. A total of 4789 events of drivers overtaking bicyclists were extracted from an existing naturalistic driving study in Michigan, United States. The vehicle lateral placement at the time of passing bicyclists was used as a surrogate safety measure. A number of factors were examined, including the lane marking type, the presence of a bike lane or paved shoulder, the presence of traffic, lane width, and driver distraction. Some notable findings include that (1) when a bike lane or paved shoulder was present, a dashed non-center line (i.e., a dashed line separating two lanes in the same direction) was associated with significantly less vehicle lane-crossing and closer distance to the bike lane/shoulder compared to a solid centerline; (2) an alarming 7.8% of the overtaking occurred when the drivers were distracted within five seconds prior to passing bicyclists. From a bicyclist's perspective, that translates to one overtaken by a distracted driver for every thirteen times they are overtaken. In addition, drivers manipulating a cell phone were associated with significantly less vehicle lane-crossing when overtaking bicyclists. The results of this work could be potentially used by traffic engineers, policymakers and legislators to support the designs of better road infrastructures, education programs, policies, and traffic laws that aim to improve the safety of all road users. The quantitative results could also be potentially used as a baseline to develop and benchmark automated vehicle technologies on how to interact with bicyclists on the road.

摘要

本文展示了一种独特且有前景的方法,可以从驾驶员的角度研究驾驶员-自行车骑手的相互作用,方法是使用自然驾驶研究中的车载传感器数据。从美国密歇根州的一项自然驾驶研究中提取了总共 4789 个驾驶员超越自行车骑手的事件。在超越自行车骑手时,车辆的横向位置被用作替代安全措施。研究检查了许多因素,包括车道标线类型、是否有自行车道或铺砌的路肩、是否有交通、车道宽度和驾驶员分心。一些值得注意的发现包括:(1) 当有自行车道或铺砌的路肩时,虚线非中心线(即分隔同一方向两个车道的虚线)与车辆车道越线和与自行车道/路肩的距离明显更近相关,与实线中心线相比;(2) 令人震惊的是,在超越自行车骑手之前的五秒内,有 7.8%的超越发生在驾驶员分心的情况下。从自行车骑手的角度来看,这意味着每十三个被分心的司机超越一次。此外,当驾驶员在超越自行车骑手时操作手机时,车辆越线明显减少。这项工作的结果可以为交通工程师、政策制定者和立法者提供潜在的用途,以支持更好的道路基础设施设计、教育计划、政策和交通法规,旨在提高所有道路使用者的安全性。定量结果也可以用作基准,用于开发和基准测试自动驾驶技术,以了解如何与道路上的自行车骑手互动。

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