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

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

开发信号交叉口安全驾驶和环保驾驶的两阶段听觉警告系统:驾驶模拟研究

DOI:
10.1016/j.aap.2022.106777
复制
发表时间:
2022
影响因子:
5.9
通讯作者:
Xuedong Yan
Xuedong Yan
中科院分区:
工程技术1区
文献类型:
--
作者:
Yuting Zhang;Xiaomeng Li;Qian Yu;Xuedong Yan

文献摘要

相似文献

车内交叉口预警系统是一种很有前途的方法,通知司机潜在的危险,以减少碰撞,提高交叉口安全。然而,当驾驶员的行为适应系统时,驾驶员的生态驾驶性能,如燃料消耗和排放的研究有限。在这项研究中,提出了一种创新的两阶段车内交叉口预警系统,以减少闯红灯(RLR)的违规行为。45名驾驶员参加了模拟驾驶实验,并在交叉口的驾驶表现进行了评估,以检查预警系统的有效性。这些措施包括停/走决定,RLR率,平均速度和减速度,制动过渡时间,制动水平,燃料消耗,以及CO和NOx的排放。结果表明,该预警系统对驾驶员的安全驾驶和生态驾驶性能有积极的影响,如降低了RLR率,提前和平滑了减速,降低了燃油消耗和排放。此外,警告对驾驶员表现的影响随黄灯开始的时间而变化。该研究对汽车行业在设计车载警告系统时使用车对基础设施技术以改善交叉口驾驶员行为具有实际意义。
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.