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首页> 外文期刊>Transportation research, Part B. Methodological >Understanding the mechanism of traffic hysteresis and traffic oscillations through the change in task difficulty level
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Understanding the mechanism of traffic hysteresis and traffic oscillations through the change in task difficulty level

机译：通过任务难度等级的变化了解流量滞后和流量振荡的机理

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This paper provides a detailed understanding of the mechanism of traffic hysteresis and traffic oscillations from the driver behavior perspective. Microscopic evaluation of trajectories inside seven selected oscillations is performed to obtain a comprehensive picture of these puzzling phenomena. A new method based on driver's task difficulty (TD) profile is proposed to capture changes in driver behavior in response to the disturbance caused by traffic oscillations. A close connection between the TD profile and evolution (such as formation and growth) of the stop-and-go traffic oscillations is found. Furthermore, driver behaviors inside the oscillations are identified based on driver's TD profile, and their connection with hysteresis magnitudes is established. Finally, a generalized linear model suggests that variables related to traffic flow and driver characteristics are significant predictors of hysteresis magnitude. One noteworthy finding is that, the bigger the difference between the average TD levels between deceleration and acceleration phases of a vehicle trajectory, the larger the hysteresis magnitude becomes. (C) 2017 Elsevier Ltd. All rights reserved.
机译：本文从驾驶员行为的角度详细阐述了交通滞后和交通振荡的机理。对七个选定振荡内的轨迹进行微观评估，以获得这些令人费解的现象的全面图像。该文提出一种基于驾驶员任务难度（TD）剖面的方法来捕捉驾驶员行为对交通振荡干扰的响应变化。TD剖面与走走停停的交通振荡的演化（如形成和增长）之间存在密切联系。此外，根据驱动器的TD曲线识别振荡内部的驱动器行为，并建立它们与滞后幅度的联系。最后，广义线性模型表明，与交通流量和驾驶员特征相关的变量是滞后幅度的重要预测因子。一个值得注意的发现是，车辆轨迹减速和加速阶段之间的平均TD水平差异越大，滞后幅度就越大。（C） 2017 爱思唯尔有限公司保留所有权利。

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