Reassessing desired time headway as a measure of car-following capability: Definition, quantification, and associated factors

IF 12.5 Q1 TRANSPORTATION
Shubham Parashar , Zuduo Zheng , Andry Rakotonirainy , Md Mazharul Haque
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Abstract

The desired time headway is often used to incorporate human behavior in car-following (CF) models by treating it as a measure of driver capability in car-following interactions, which is latent and cannot be directly observed. However, the desired time headway is often assumed to be a constant value for a driver across all speed levels. This assumption can be unrealistic and unreliable. Studies indicate that the mean time headway during steady-state car-following interactions quantifies the desired time headway, but inconsistent conditions for steady-state interactions in the literature make such assessments challenging. This study aims to reassess the desired time headway as a metric of driver capability in car-following interactions. Specifically, it identifies steady-state car-following conditions for reliable desired time headway estimates via the NGSIM I80 dataset. The results show that using a sustenance window of 3.5 ​s with an acceleration threshold of ±0.75 ​m/s2 and a relative speed of ±1.52 ​m/s reduces transient and sporadic time headway observations, which in turn improves the reliability of the desired time headway. The obtained conditions are applied to the car-following trajectories in a driving simulator experiment, designed to focus on the steady-state at two speed levels (85 and 40 ​km/h) in traditional environment (TE) and connected environment (CE). The results indicate that the desired time headway is significantly longer in high-speed car-following (85 ​km/h) than in low-speed car-following (40 ​km/h) in the TE and CE and that driving aids help maintain more consistent desired time headways. A comparison of the TE and CE in low-speed car-following shows that most drivers prioritize safety by increasing the desired time headway in the CE. However, in high-speed car-following, the mean desired time headway is not significantly different between the TE and the CE on an aggregate level. Furthermore, the study presents a generalized linear mixed model (GLMM) describing the desired time headway selection in different conditions, identifying age, gender, and crash involvement as significant variables other than the driving conditions.
重新评估期望车头时距作为车辆跟随能力的衡量标准:定义、量化和相关因素
期望车头时距通常用于车辆跟随(CF)模型中纳入人类行为,将其视为驾驶员在车辆跟随交互中的能力的度量,这是潜在的,不能直接观察到。然而,期望的车头时距通常被假定为驾驶员在所有速度水平上的恒定值。这种假设可能是不现实和不可靠的。研究表明,在稳态汽车跟随相互作用期间的平均车头时距量化了期望的车头时距,但文献中稳态相互作用的不一致条件使这种评估具有挑战性。本研究的目的是重新评估期望时距作为一种衡量驾驶员在汽车跟随互动中的能力。具体来说,它通过NGSIM I80数据集确定可靠的期望车头时距估计的稳态汽车跟随条件。结果表明,采用3.5 s的维持窗口,加速度阈值为±0.75 m/s2,相对速度为±1.52 m/s,可以减少瞬时和偶发车头时距观测,从而提高车头时距期望的可靠性。将得到的条件应用于驾驶模拟器的汽车跟车轨迹实验,重点研究了传统环境(TE)和互联环境(CE)下两种速度水平(85和40 km/h)下的稳态。结果表明,高速跟车(85 km/h)时的期望车头时距明显大于低速跟车(40 km/h)时距,驾驶辅助装置有助于保持更一致的期望车头时距。对低速跟车时的TE和CE的比较表明,在低速跟车时,大多数驾驶员通过增加期望车头时距来优先考虑安全。然而,在高速跟车中,平均期望车头时距在总水平上在TE和CE之间没有显著差异。此外,该研究提出了一个广义线性混合模型(GLMM),描述了在不同条件下期望的车头时距选择,将年龄、性别和碰撞卷入作为除驾驶条件外的重要变量。
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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CiteScore
15.20
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