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Quantifying the effect of roadway, driver, vehicle, and location characteristics on the frequency of longitudinal and lateral accelerations

机译:量化道路,驾驶员,车辆和位置特性对纵向和横向加速频率的影响

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摘要

The purpose of this study is to understand and quantify the simultaneous effects of roadway speed category, driver age, driver gender, vehicle class, and location on the rates of longitudinal and lateral acceleration epochs. The rate of usual as well as harsh acceleration epochs are used to extract insights on driving risk and driver comfort preferences. However, an analysis of acceleration rates at multiple thresholds incorporating various effects while using a large-scale and diverse dataset is missing. This analysis will fill this research gap. Data from the 2nd Strategic Highway Research Program Naturalistic Driving Study (SHRP2 NDS) was used for this analysis. The rate of occurrence of acceleration epochs was modeled using negative binomial distribution based generalized linear mixed effect models. Roadway speed category, driver age, driver gender, vehicle class, and location were used as the fixed effects and the driver identifier was used as the random effect. Incidence rate ratios were then calculated to compare subcategories of each fixed effect. Roadway speed category has the strongest effect on longitudinal and lateral accelerations of all magnitudes. Acceleration epoch rates consistently decrease as the roadway speed category increases. The difference in the rates depends on the threshold and is up to three orders of magnitude. Driver age is another significant factor with clear trends for longitudinal and lateral acceleration epochs. Younger and older drivers experience higher rates of longitudinal accelerations and decelerations. However, the rate of lateral accelerations consistently decreases with age. Vehicle class also has a significant effect on the rate of harsh accelerations with minivans consistently experiencing lower rates.
机译:本研究的目的是理解和量化道路速度类别,驾驶员年龄,驾驶员性别,车辆阶级和位置对纵向和横向加速度时期的速率的同时效果。通常以及苛刻的加速度时期的速度用于提取对驾驶风险和驾驶员舒适偏好的见解。然而,缺少使用大规模和不同数据集的同时包含各种效果的多个阈值的加速率的分析。该分析将填补这一研究差距。第2战略公路研究计划的数据进行间分析使用自然主义驾驶研究(SHRP2 NDS)。使用基于负二氯联合的广义线性混合效果模型建模加速度时期的发生率。道路速度类别,驾驶员年龄,驾驶员性别,车辆类和位置用作固定效果,并且驾驶员标识符被用作随机效应。然后计算发病率比以比较每个固定效果的子类别。道路速度类别对所有大小的纵向和横向加速度具有最强的影响。随着道路速度类别的增加,加速纪元率一直减少。速率的差异取决于阈值,最多三个数量级。驾驶员年龄是纵向和横向加速度时代明显趋势的另一个重要因素。年轻人和较旧的司机经历了更高的纵向加速和减速率。然而,横向加速率随着年龄而持续减少。车辆阶级对Minivans的苛刻加速率显着影响,始终如一地经历较低的速率。

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