本发明提供一种面向网联自动驾驶混行场景的交叉口规划与信号优化方法,在HVs与CAVs混行的路网上提出了设置CAV专用相位和CAV专用进口道的信号交叉口,并提出了HVs与CAVs混行下的交叉口布局及信号设置优化问题,并对其进行建模,设置全局最优精确性算法求解得到问题的全局最优解,即决策路网中每个交叉口的类型(传统视觉信号交叉口,智能无信号交叉口,新型信号交叉口),和两类信号交叉口的周期时长、绿灯时长、CAV专用相位时长,使得混行路网的总出行成本最小。本发明提出的交叉口规划和信号设置优化问题的建模方法和求解算法可以明显改善路网性能,提高不同市场渗透率下的HVs与CAVs混行路网的整体出行效率,充分发挥网联自动驾驶技术优势。
The invention provides an intersection planning and signal optimization method for a networked automatic driving mixed driving scene, which comprises the following steps: providing a signal intersection for setting a CAV special phase and a CAV special entrance lane on an HVs and CAVs mixed driving road network, providing an intersection layout and signal setting optimization problem under HVs and CAVs mixed driving, modeling the intersection layout and signal setting optimization problem, and optimizing the intersection layout and the signal setting optimization problem under HVs and CAVs mixed driving. And a global optimal accuracy algorithm is set to solve a global optimal solution of the problem, that is, the type of each intersection (a traditional visual signal intersection, an intelligent non-signal intersection and a novel signal intersection) in the road network and the period duration, the green light duration and the CAV special phase duration of the two types of signal intersections are decided, so that the total travel cost of the mixed road network is minimum. According to the modeling method and the solving algorithm for the intersection planning and signal setting optimization problem, the road network performance can be obviously improved, the overall travel efficiency of the HVs and CAVs mixed road network under different market permeability is improved, and the advantages of the network connection automatic driving technology are fully played.
面向网联自动驾驶混行场景的交叉口规划与信号优化方法
2024-07-26
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |