Flexible Stochastic Frontier Approach to Predict Spot Speed in Two-Lane Highways

António Lobo, A. Couto, C. Rodrigues
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引用次数: 1

Abstract

The approach to spot speed prediction in two-lane highways followed in this study aims to evaluate the effects of a comprehensive set of speed factors, with a special focus on the geometric characteristics of the road segment to which the element belongs. Two flexible models were developed for different types of roads based on a stochastic frontier formulation in which the maximum operating speed is estimated as a function of road geometrics, and the one-sided disturbance accounts for diversity in driving behavior and vehicle characteristics, allowing the estimation of any percentile speed. The models are applicable to horizontal curves and tangents and consider both on-site characteristics and aggregated variables characterizing the road segment. The results show a clear influence of segment features on different percentile spot speeds, revealing that recent driving experience and expectations about the quality of the geometric design influence the way a driver approaches a specific road element. Additionally, this study contributes to addressing some of the limitations of existing speed models identified in the literature.
双车道高速公路点速度预测的柔性随机前沿法
本研究采用的双车道高速公路现场速度预测方法旨在评估一组综合速度因素的影响,并特别关注该元素所属路段的几何特征。基于随机边界公式,针对不同类型的道路开发了两个灵活的模型,其中最大运行速度作为道路几何形状的函数进行估计,并且单侧干扰考虑了驾驶行为和车辆特性的多样性,允许估计任何百分位速度。该模型适用于水平曲线和切线,并考虑了现场特征和路段特征的聚集变量。结果显示,路段特征对不同百分位点速度有明显的影响,表明最近的驾驶经验和对几何设计质量的期望会影响驾驶员接近特定道路元素的方式。此外,本研究有助于解决文献中发现的现有速度模型的一些局限性。
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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