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Consensus and optimal speed advisory model for mixed traffic at an isolated signalized intersection

机译:孤立信号交叉路口混合交通的共识和最优速度咨询模型

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摘要

Due to the accessibility for connected vehicle (CV) to obtain the V2X covered traffic conditions and signal phase and timing (SPaT) information, the CV becomes able to follow its predecessors and adjust its speed in a different way with comparison to human driving vehicle (HDV). Aiming at promoting energy economy and keeping safety, a consensus and optimal speed advisory model(SAM) is proposed for CV platoon at an isolated signalized intersection in the presence of mixed traffic scenario. To ensure that CV followers track their leader's speed and time headway spacing with uniform performance being achieved, a consensus based CV platoon model is proposed with V2X network topology being taken into account. To determine average desired speed of the leader and prevent itself from red light running, two kinds of intersection passing decisions considering amber light duration time are presented for CV and HDV, respectively. To plan a speed trajectory for CV leader, a safety and energy conservation oriented SAM based on trigonometric-curve and logistic-curve is employed to guide CV leader approaching and departing from signalized intersection in a smooth driving behavior at the moment of queue discharging entirely at green light. Numerical simulations show that taking speed profile governed by consensus and optimal SAM as CV platoon's recommended speed can improve safety and fuel economy performance of the mixed traffic on signal controlled highways. (C) 2019 Elsevier B.V. All rights reserved.
机译:由于连接车辆(CV)的可访问性获得V2X覆盖的交通状况和信号相位和时序(SPAT)信息,CV能够跟随其前代并且与人类驾驶车辆的比较以不同的方式调整其速度( HDV)。旨在促进能源经济和保持安全,在混合交通方案存在下,提出了一种共识和最佳速度咨询模型(SAM),在混合交通方案的存在下孤立的信号交叉路口。为确保CV粉丝跟踪其领导者的速度和时间前沿间距,以均匀的性能进行均匀,基于CV排型模型,旨在考虑V2X网络拓扑。为了确定领导的平均所需速度并防止自身从红光运行,考虑琥珀色灯光持续时间的两种交叉路口传递决定分别用于CV和HDV。为了规划CV领导者的速度轨迹,基于三角曲线和逻辑曲线的安全和节能导向的SAM用于引导CV领导人在队列排放时的平稳驾驶行为中践出和脱离信号交叉点,其完全在绿灯。数值模拟表明,通过共识和最佳SAM作为CV排速推荐速度的速度曲线可以提高信号控制高速公路上混合交通的安全性和燃油经济性能。 (c)2019 Elsevier B.v.保留所有权利。

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