基于多源数据的不同级别自动驾驶（SAE Level 2-5）下受伤严重程度的探索性分析
Exploratory analysis of injury severity under different levels of driving automation (SAE Level 2-5) using multi-source data
AI总结：
本研究基于多源数据，利用随机参数多项Logit模型分析SAE Level 2和Level 4自动驾驶车辆事故的受伤严重程度差异，发现环境、驾驶员类型、系统复杂性及碰撞部位等因素显著影响事故后果，为自动驾驶部署提供安全评估参考。
摘要：
配备自动驾驶功能的车辆已展现出提升安全性和运营效率的潜力。高级驾驶辅助系统（ADAS）和自动驾驶系统（ADS）已被广泛开发以支持车辆自动化。尽管涉及自动驾驶车辆的受伤严重程度结果的研究仍在进行中，但针对配备ADAS和ADS的车辆在受伤严重程度结果上的差异研究仍然有限。为确保全面分析，本研究使用了一个包含1,001起ADAS事故（SAE Level 2车辆）和548起ADS事故（SAE Level 4车辆）的多源数据集。考虑了两种具有随机参数均值异质性的随机参数多项Logit模型，以更好地理解影响ADAS（SAE Level 2）和ADS（SAE Level 4）车辆事故受伤严重程度结果的变量。研究发现，数据集中67%涉及配备ADAS车辆的事故发生在高速公路上，而94%涉及ADS的事故发生在更城市化的环境中。模型估计结果还显示，天气指标、驾驶员类型指标、通过制造年份和高/低里程数所反映的系统复杂性差异，以及后部和前部接触指标，都在事故受伤严重程度结果中发挥了作用。研究结果利用真实世界数据对配备ADAS和ADS车辆的安全性能进行了探索性评估，可供制造商和其他利益相关者用于指导其部署和使用的方向。
英文摘要：
Vehicles equipped with automated driving capabilities have shown potential to improve safety and operations. Advanced driver assistance systems (ADAS) and automated driving systems (ADS) have been widely developed to support vehicular automation. Although the studies on the injury severity outcomes that involve automated vehicles are ongoing, there is limited research investigating the difference between injury severity outcomes for the ADAS and ADS equipped vehicles. To ensure a comprehensive analysis, a multi-source dataset that includes 1,001 ADAS crashes (SAE Level 2 vehicles) and 548 ADS crashes (SAE Level 4 vehicles) is used. Two random parameters multinomial logit models with heterogeneity in the means of random parameters are considered to gain a better understanding of the variables impacting the crash injury severity outcomes for the ADAS (SAE Level 2) and ADS (SAE Level 4) vehicles. It was found that while 67 percent of crashes involving the ADAS equipped vehicles in the dataset took place on a highway, 94 percent of crashes involving ADS took place in more urban settings. The model estimation results also reveal that the weather indicator, driver type indicator, differences in the system sophistication that are captured by both manufacture year and high/low mileage as well as rear and front contact indicators all play a role in the crash injury severity outcomes. The results offer an exploratory assessment of safety performance of the ADAS and ADS equipped vehicles using the real-world data and can be used by the manufacturers and other stakeholders to dictate the direction of their deployment and usage.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
