通过重放自己的驾驶轨迹,加强对电动摩托车用户超车操作视角的相互理解

IF 5.7 1区 工程技术 Q1 ERGONOMICS
Taeho Oh , Jaehyuck Lim , Reuben Tamakloe , Zhibin Li , Inhi Kim
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引用次数: 0

摘要

电动滑板车作为一种便捷的微型移动交通方式,在全球范围内的使用率正在不断上升,它为 "最初一英里 "和 "最后一英里 "的出行提供了灵活的解决方案。然而,使用量的激增也带来了挑战,尤其是在道路安全方面,因为电动滑板车骑手经常与其他车辆共享道路空间,从而增加了发生严重事故的风险。虽然已有许多研究从驾驶员的角度探讨了安全超车行为和安全认知,但对驾驶员和电动摩托车骑行者的不同安全认知的了解还很有限,尤其是在骑电动摩托车被自己的车辆超车后。本研究旨在通过研究安全认知的变化以及评估经历超车情景前后的行为变化来弥补这一差距。具体来说,研究重点是电动摩托车驾驶者被之前驾驶的车辆超车的情景。在涉及同一参与者的电动摩托车实验中,采用了基于 Unity 的顺序模拟程序,在其未察觉的情况下重放从车辆模拟器获得的情景。这种创新方法使电动滑板车驾驶者能够在驾驶电动滑板车时重温自己之前的超车动作。研究结果表明,受超车车辆的相对速度和加速度等因素的影响,大多数参与者(64%)认为骑电动摩托车不太安全。在经历了被自己预先驾驶的车辆超车后,安全感和横向距离之间出现了值得注意的正相关,这表明,对电动摩托车安全有了更好的了解,就能获得更大的距离。这项研究证明了顺序模拟策略在培养安全驾驶行为和提高道路安全意识方面的有效性。作为一名电动摩托车驾驶员,在超车前亲身体验超车行为,可以提高道路安全意识。这些发现对道路安全管理机构具有重要意义,表明这种方法有可能应用于驾驶员教育计划中。通过纳入这种为改善弱势道路使用者的安全而量身定制的干预措施,当局可以采取积极措施,降低与微型机动交通相关的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing mutual understanding of e-scooter user’s perspective in overtaking maneuver through replaying own driving trajectory

The global adoption of e-scooters as a convenient mode of micro-mobility transportation is on the rise, offering a flexible solution for covering first- and last-mile journeys. However, this surge in usage brings challenges, particularly concerning road safety, as e-scooter riders often share road space with other vehicles, heightening the risk of serious accidents. While numerous studies have explored safe overtaking behaviors and safety perceptions from drivers’ viewpoints, limited attention has been given to understanding the varying safety perceptions of both drivers and e-scooter riders, particularly after riding an e-scooter and being overtaken by their own vehicles. This research aims to bridge this gap by examining variations in safety perceptions and assessing behavioral changes before and after experiencing overtaking scenarios. Specifically, the study focuses on scenarios where an e-scooter rider experiences being overtaken by a vehicle they had previously driven. A Unity-based sequential simulation process is employed to replay scenarios obtained from a vehicle simulator during an e-scooter experiment involving the same participant without their awareness. This innovative approach allows e-scooter rider participants to relive their own prior vehicle overtaking maneuvers while riding an e-scooter. The findings reveal that most participants (64%) felt less safe as e-scooter riders, influenced by factors like relative speed and acceleration of overtaking vehicles. After experiencing being overtaken by their own pre-driven vehicles, a noteworthy positive correlation emerged between safety perception and lateral distance, indicating that greater distance is derived from a better understanding of e-scooter safety. The study demonstrates the effectiveness of the sequential simulation strategy in fostering safe driving behavior and raising road safety awareness. Experiencing overtaking behaviors firsthand as an e-scooter rider, previously behind the wheel of the overtaking vehicle, encourages a heightened awareness of road safety. These findings have significant implications for road safety authorities, suggesting the potential application of this approach in driver education programs. By incorporating such interventions tailored to improve the safety of vulnerable road users, authorities can take proactive steps towards mitigating risks associated with micro-mobility transportation.

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来源期刊
CiteScore
11.90
自引率
16.90%
发文量
264
审稿时长
48 days
期刊介绍: Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.
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