The invention discloses a mixed intersection network management method considering autonomous vehicles, which comprises the following steps: S1) calculating a mixed traffic flow queuing length of the autonomous vehicles and human-driven vehicles based on probability distribution and a Bayesian theorem, and taking a result as an input parameter of a maximum pressure control method; s2) calculating a pedestrian queuing length, and taking a result as a second input parameter of the maximum pressure control method; s3) determining the weighted total pressure intensity of the intersection network; s4) calculating an optimal mixed intersection network signal control scheme by adopting a maximum pressure control method; and S5) selecting an automatic automobile driving behavior and a human automobile driving behavior. According to the invention, the pedestrian crosswalk and the non-conflict traffic flow motion are allowed to be activated at the same time, so that the operation safety and efficiency of a mixed intersection network are effectively improved, and the queuing length and delay of automatic driving vehicles, human driving vehicles and pedestrians are reduced; and the management level and the operation efficiency of a multi-intersection network under the condition of mixed driving of automatic driving vehicles, human-driven vehicles and pedestrians are greatly improved.
本发明公开了一种考虑自动驾驶汽车的混行交叉口网络管理方法,包括:S1)基于概率分布和贝叶斯定理计算自动驾驶汽车和人驾车辆混合交通流排队长度,将结果作为最大压强控制方法的输入参数;S2)计算行人排队长度,将结果作为最大压强控制方法的第二个输入参数;S3)确定交叉口网络加权总压强;S4)采用最大压强控制方法计算最优混行交叉口网络信号控制方案;S5)选择自动驾驶汽车和人驾车辆行为。本发明允许同时激活人行横道和非冲突车流运动,有效提升了混行交叉口网络的运行安全和效率,降低了自动驾驶汽车、人驾车辆和行人的排队长度与延误,大大提升自动驾驶汽车、人驾车辆和行人混行条件下多交叉口网络的管理水平和运行效率。
Mixed intersection network management method considering autonomous vehicles
一种考虑自动驾驶汽车的混行交叉口网络管理方法
2024-04-16
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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