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开发一种两阶段的听觉警告系统,用于信号交叉口的安全驾驶和生态驾驶:驾驶模拟研究。

Developing a two-stage auditory warning system for safe driving and eco-driving at signalized intersections: A driving simulation study.

机构信息

College of Transportation Engineering, Chang'an University, Xi'an 710064, PR China.

Queensland University of Technology (QUT), Centre for Accident Research and Road Safety-Queensland (CARRS-Q), Kelvin Grove, Queensland 4059, Australia.

出版信息

Accid Anal Prev. 2022 Sep;175:106777. doi: 10.1016/j.aap.2022.106777. Epub 2022 Jul 25.

Abstract

In-vehicle intersection warning systems represent a promising approach for informing drivers of potential danger to reduce crashes and improve intersection safety. However, there is limited research on drivers' eco-driving performances, such as fuel consumption and emission, when drivers adapt their behaviors to the systems. In this study, an innovative two-stage in-vehicle intersection warning system was proposed to reduce red-light running (RLR) violations. Forty-five drivers participated in a simulated driving experiment and their driving performances at the intersections were evaluated to examine the effectiveness of the warning system. The measures included stop/go decision, RLR rate, average speed and deceleration, brake transition time, brake level, fuel consumption, and emission of CO and NOx. The results indicated that the warning system had a positive effect on drivers' safe driving and eco-driving performances, such as reducing the RLR rate, advancing and smoothing the deceleration and reducing fuel consumption and emission. Moreover, the impact of warning on drivers' performances varied with the time to the onset of yellow light. The research has practical implications for the automobile industry to use vehicle-to-infrastructure technology in the design of in-vehicle warning systems to improve driver behaviors at intersections.

摘要

车内交叉警告系统代表了一种有前途的方法,可以告知驾驶员潜在的危险,以减少事故并提高交叉口安全性。然而,对于驾驶员在适应系统时的生态驾驶性能(例如燃油消耗和排放),研究有限。在这项研究中,提出了一种创新的两阶段车内交叉警告系统,以减少闯红灯(RLR)违法行为。45 名驾驶员参加了模拟驾驶实验,评估了他们在交叉口的驾驶表现,以检验警告系统的有效性。这些措施包括停车/行驶决策、RLR 率、平均速度和减速、制动过渡时间、制动级别、燃油消耗以及 CO 和 NOx 的排放。结果表明,警告系统对驾驶员的安全驾驶和生态驾驶性能有积极影响,例如降低 RLR 率、提前减速和平滑减速以及减少燃油消耗和排放。此外,警告对驾驶员性能的影响随着黄灯亮起的时间而变化。这项研究对汽车行业具有实际意义,可以利用车对基础设施技术在车内警告系统的设计中,改善驾驶员在交叉口的行为。

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