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视线和联网车辆技术对减轻和预防碰撞及险些碰撞事件的影响。

The Impact of Line-of-Sight and Connected Vehicle Technology on Mitigating and Preventing Crash and Near-Crash Events.

作者信息

Herbers Eileen, Doerzaph Zachary, Stowe Loren

机构信息

Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, VA 24060, USA.

Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24060, USA.

出版信息

Sensors (Basel). 2024 Jan 12;24(2):484. doi: 10.3390/s24020484.

DOI:10.3390/s24020484
PMID:38257575
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10821333/
Abstract

Line-of-sight (LOS) sensors developed in newer vehicles have the potential to help avoid crash and near-crash scenarios with advanced driving-assistance systems; furthermore, connected vehicle technologies (CVT) also have a promising role in advancing vehicle safety. This study used crash and near-crash events from the Second Strategic Highway Research Program Naturalistic Driving Study (SHRP2 NDS) to reconstruct crash events so that the applicable benefit of sensors in LOS systems and CVT can be compared. The benefits of CVT over LOS systems include additional reaction time before a predicted crash, as well as a lower deceleration value needed to prevent a crash. This work acts as a baseline effort to determine the potential safety benefits of CVT-enabled systems over LOS sensors alone.

摘要

新型车辆中开发的视距（LOS）传感器有潜力通过先进的驾驶辅助系统帮助避免碰撞和接近碰撞的情况；此外，车联网技术（CVT）在提升车辆安全性方面也具有重要作用。本研究利用第二次战略公路研究计划自然驾驶研究（SHRP2 NDS）中的碰撞和接近碰撞事件来重建碰撞事件，以便比较LOS系统和CVT中传感器的适用效益。CVT相对于LOS系统的优势包括在预测碰撞前有额外的反应时间，以及防止碰撞所需的较低减速度值。这项工作作为一项基线研究，以确定仅配备CVT的系统相对于LOS传感器的潜在安全效益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/0872adcf1b38/sensors-24-00484-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/b0ac998ff5ef/sensors-24-00484-g0A1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/a1f8dd981c97/sensors-24-00484-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/fbb72f753189/sensors-24-00484-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/0d1e9b063043/sensors-24-00484-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/7e2ccca697fa/sensors-24-00484-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/573d42676984/sensors-24-00484-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/0872adcf1b38/sensors-24-00484-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/b0ac998ff5ef/sensors-24-00484-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/e0e6f1a3f9ef/sensors-24-00484-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/a1f8dd981c97/sensors-24-00484-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/fbb72f753189/sensors-24-00484-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/0d1e9b063043/sensors-24-00484-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/7e2ccca697fa/sensors-24-00484-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/573d42676984/sensors-24-00484-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd44/10821333/0872adcf1b38/sensors-24-00484-g006.jpg

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