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An extended car-following model considering the effect of two-sided lateral gap with uncertain velocity on curved road

机译:考虑不确定速度的两侧横向间隙对弯道路面影响的扩展汽车跟随模型

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摘要

Purpose The goal of this study is to explore the effect of two-sided lateral gap with uncertain velocity on the stability of traffic flow on a curved road. Design/methodology/approach In this paper, an extended car-following model considering the effect of two-sided lateral gap with uncertain velocity on a curved road is proposed. The effects of different lateral positions and radius of different sizes can be considered as control signals. The stability condition of the new model is obtained by the control theory. The numerical simulations are carried out to analyze how the control signal and lateral positions and radius of curved road affect traffic flow stability. The results show that driving between two lanes and inaccurate speed estimates both have a negative effect on traffic flow stability, and the stability also decreases with the increase in the radius of curved road. Findings (1) Simulation of influencing factors of vehicle lateral position indicates that if the driver drives between two lanes, it would have a negative impact on traffic flow. (2) When the speed is fixed, the traffic flow becomes more and more unstable with the increase in the radius of the curve. (3) The stability of traffic flow will be affected when the driver estimates the speed of the vehicle ahead. Therefore, whether it is manual driving or future intelligent vehicle driving, it is necessary to accurately judge the speed of the front vehicle. Originality/value There is little research on two-sided lateral gap with uncertain velocity for the stability of traffic flow on a curved road. The enhanced model constructed in this study can better reflect the real traffic, which can also give some theoretical reference for the development of connected and autonomous vehicles (CAVs).
机译:目的 探讨不确定速度的两侧横向间隙对弯道交通流稳定性的影响。设计/方法/途径 本文提出了一种考虑不确定速度的两侧横向间隙对弯道影响的扩展汽车跟随模型。不同横向位置和不同大小半径的影响可以看作是控制信号。通过控制理论得到新模型的稳定条件。通过数值仿真分析了控制信号、弯道横向位置和半径对交通流稳定性的影响。结果表明:双车道间行驶和车速估计不准确均对交通流稳定性产生负面影响,且稳定性也随着弯道半径的增大而降低;研究结果(1)对车辆横向位置影响因素的模拟表明,如果驾驶员在两条车道之间行驶,将对交通流量产生负面影响。(2)当速度固定时,随着弯道半径的增加,交通流变得越来越不稳定。(3)当驾驶员估计前方车辆的速度时,交通流量的稳定性会受到影响。因此,无论是手动驾驶还是未来的智能车辆驾驶,都需要准确判断前车的速度。原创性/价值 关于速度不确定的双侧横向间隙对弯道交通流稳定性的研究较少。本研究构建的增强模型能够较好地反映真实交通情况,也可为智能网联汽车(CAVs)的发展提供一定的理论参考。

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