Effectiveness of smart LED strips at mid-block crosswalks under distracted driving conditions

Q1 Engineering
Alberto Portera , Francesco Angioi , Leandro L. Di Stasi , Marco Bassani
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引用次数: 0

Abstract

We investigated the effectiveness of an LED-based smart mid-block crosswalk system in mitigating the detrimental effects of driver engagement in non-driving-related tasks (NDRTs) with behavioural, performance, and subjective measurements. We designed a 2 (Crosswalk: smart vs conventional) by 2 (Task complexity: low vs. high NDRT) within-subjects experiment. Thirty-six drivers drove along four urban scenarios in a static driving simulator. We collected data on driving behaviour (speed, reaction distance), and safety (minimum time-to-collision [MTTC]), as well as subjective driver ratings on the perceived task load and their trust in the technology used, and performance levels achieved while performing the NDRTs.

Behavioural and performance observations showed that the smart mid-block crosswalk resulted in greater reaction distances and MTTC values when drivers interacted with pedestrians, thus indicating improved safety. Remarkably, the results also revealed that increased NDRT complexity does not negatively affect the smart crosswalk effectiveness in terms of driver-pedestrian collision prevention (i.e., MTTC does not decrease significantly). However, the NDRT complexity influenced driving performance in terms of speed and reaction distance at brake pedal pressure, with drivers exhibiting lower speeds and lower reaction distances with higher task loads. Moreover, the subjective ratings and performance levels while performing a NDRT reflected the experimental manipulation, with drivers perceiving higher task loads and performing worse in the higher NDRT complexity condition. Overall, the smart mid-block crosswalk led to a safer driver-pedestrian interaction compared to conventional crosswalks and achieved a good acceptance level both of which augur well for the widespread future installation of this technology.

分心驾驶条件下街区中央人行横道上智能 LED 灯带的有效性
我们通过行为、表现和主观测量,研究了基于 LED 的智能中段人行横道系统在减轻驾驶员参与非驾驶相关任务(NDRT)的不利影响方面的有效性。我们设计了一个 2(人行横道:智能与传统)乘 2(任务复杂性:低 NDRT 与高 NDRT)的被试内实验。36 名驾驶员在静态驾驶模拟器中沿着四个城市场景行驶。我们收集了驾驶行为(速度、反应距离)和安全性(最小碰撞时间 [MTTC])方面的数据,以及驾驶员对感知任务负荷和对所使用技术的信任度的主观评价,以及在执行 NDRT 时达到的性能水平。行为和性能观察结果表明,当驾驶员与行人互动时,智能街区中间人行横道可带来更大的反应距离和 MTTC 值,从而表明安全性得到了提高。值得注意的是,研究结果还显示,NDRT 复杂性的增加不会对智能人行横道在预防驾驶员与行人碰撞方面的效果产生负面影响(即 MTTC 不会显著降低)。然而,NDRT 复杂性在速度和制动踏板压力下的反应距离方面影响了驾驶性能,任务负荷越高,驾驶员的速度越低,反应距离越短。此外,驾驶员在执行 NDRT 时的主观评价和表现水平也反映了实验操作,在 NDRT 复杂性较高的条件下,驾驶员会感觉任务负荷较高,表现较差。总之,与传统的人行横道相比,智能街区中间人行横道使驾驶员与行人之间的互动更加安全,并获得了良好的接受程度,这两点都预示着该技术在未来的广泛安装。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transportation Engineering
Transportation Engineering Engineering-Automotive Engineering
CiteScore
8.10
自引率
0.00%
发文量
46
审稿时长
90 days
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