表征变道行为并识别极端变道特征

IF 3.3 3区 工程技术 Q2 TRANSPORTATION
Ishtiak Ahmed , Alan F. Karr , Nagui M. Rouphail , R. Thomas Chase , Shams Tanvir
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引用次数: 7

摘要

本研究利用高分辨率轨迹数据分析了不同拥堵水平下驾驶员的变道行为,并识别了极端变道特征。总变道频率与拥堵程度呈反比关系,但随着拥堵程度的增加,每辆车变道频率的分布保持不变。平均而言,在改变车道后,轨迹速度增加了5.4英尺/秒。然而,随着拥塞的恶化,这一增益显著降低。此外,变道车辆的平均速度比不变道车辆高3.9英尺/秒。两个指标用于识别极端变道行为:临界过线时间(TLCc)和单位距离变道量。最低1% TLCc在0.71-1.57秒之间变化。在所有变道车辆中,变道率最高的1%是每行驶1000英尺2.5变道。有趣的是,在这个数据集中,没有司机同时有过多的变道和低TLCc的变道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing lane changing behavior and identifying extreme lane changing traits

This study characterizes lane changing behavior of drivers under differing congestion levels and identifies extreme lane changing traits using high-resolution trajectory data. Total lane change frequency exhibited a reciprocal relationship with congestion level, but the distribution of lane change per vehicle remained unchanged as congestion increased. On average, the speed of trajectories increased by 5.4 ft/s after changing a lane. However, this gain significantly diminished as congestion worsened. Further, the average speed of lane changing vehicles was 3.9 ft/s higher than those that executed no lane changes. Two metrics were employed to identify extreme lane changing behavior: critical time-to-line-crossing (TLCc) and lane changes per unit distance. The lowest 1% TLCc varied between 0.71–1.57 seconds. The highest 1% of lane change rates for all lane changing vehicles was 2.5 lane changes per 1,000 ft traveled. Interestingly, no drivers in thisdataset had both excessive lane changes and lane changes with low TLCc.

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来源期刊
CiteScore
6.40
自引率
14.30%
发文量
79
审稿时长
>12 weeks
期刊介绍: Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research. The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.
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