基于轨迹数据的过饱和信号路口排队长度分析
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刘旭星(1999—),男,硕士研究生,研究方向为交通信息技术。E-mail:2402687617@qq.com。

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U491.2

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国家自然科学基金项目(51965021,52062015)


Analysis of Queue Length at Oversaturated Signal Intersections Based on Trajectory Data
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    摘要:

    针对交通过饱和情况,利用网联车轨迹数据提供的车辆到达和停车位置等信息,提出一种基于交通冲击波的周期初始队列长度和最大排队长度的估计方法。 基于网联车车辆轨迹确定车辆到达时刻、排队时刻、启动时刻及驶离时刻 4 个临界点的时空数据,并根据时空信息建立到达率估计模型,运用冲击波理论对每个周期初始队列长度及最大排队长度进行估计,应用微观交通仿真软件 SUMO 对模型进行仿真验证。 实验结果表明:在网联车渗透率不低于 20%的情况下,当 v/c=1.0(v 为实际交通流量,c 为道路通行能力)时,初始队列长度 MAE 值小于 6.5 m,MAPE 值小于 10%,最大排队长度的 MAE 值小于 16.0 m, MAPE 值小于 11%, 说明基于车辆轨迹的交叉口排队长度估计模型能够较为有效地估计过饱和交叉口的最大排队长度和初始队列长度。

    Abstract:

    For the traffic oversaturation situation, it proposed a method to estimate the cycle initial queue length and maximum queue length based on the traffic shock wave by using the information of vehicle trajectory data such as vehicle arrival and parking location. Based on the trajectory of connected vehicles, the four critical points of vehicle arrival time, queuing time, start time and departure time were determined according to the arrival rate of each cycle according to the information provided by the critical point, and the initial queue length and maximum queuing length of each cycle were estimated by using shock wave theory, and the model was simulated and verified by the micro traffic simulation software SUMO. The experimental results show that the penetration rate of connected vehicles is not less than 20%, when v/c=1.0, the initial queue length MAE value is less than 6.5 meters, the MAE value is less than 10%, the MAE value of the maximum queue length less than 16.0 meters, and the MAPE value is less than 11%, indicating the intersection queuing length estimation model based on vehicle trajectory can still estimate the maximum queuing length and initial queue length of supersaturated intersections more effectively.

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刘旭星,邓明君,彭理群.基于轨迹数据的过饱和信号路口排队长度分析[J].华东交通大学学报,2023,40(3):66-76.

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  • 收稿日期:2022-11-14
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  • 在线发布日期: 2023-06-24
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