The invention relates to the technical field of vehicle driving behavior planning, and discloses a vehicle driving behavior planning method based on a vehicle-mounted information physical fusion system, and the method comprises the steps: a vehicle periodically transmits recognized traffic light signal types, and the position information and speed information of the vehicle; the cloud collects traffic light signal category time sequences received within a certain time range before the current moment to extract signal light change periods and phase information; the cloud end establishes a vehicle queue and executes multi-objective optimization to obtain the optimized suggested driving speed of each vehicle, and the objective of the multi-objective optimization is to minimize fuel consumption and emission, so that the problem of driving behavior control when the vehicles pass through the intersection with unknown traffic light signals is solved; the pollutant emission and the fuel consumption when the vehicle passes through the intersection with unknown signal lamp information in a real passing scene are reduced, and the passing efficiency is improved.
本发明涉及到车辆驾驶行为规划技术领域,公开了一种基于车载信息物理融合系统的车辆驾驶行为规划方法,包括车辆周期性的发送所识别到的红绿灯信号类别,以及车辆自身的位置信息和速度信息;云端汇集当前时刻之前一定时间范围内收到的红绿灯信号类别时间序列提取出信号灯变化周期和相位信息;云端建立车辆队列,并执行多目标优化,获得优化后各车辆的建议驾驶速度,多目标优化的目标为最小化燃油消耗量和排放量,解决了车辆在未知红绿灯信号路口的通行时驾驶行为控制问题,减少真实通行场景中车辆经过未知信号灯信息路口时污染物排放量和燃油消耗量,提升通行效率。
Vehicle driving behavior planning method based on signal lamp information identification
一种基于信号灯信息识别的车辆驾驶行为规划方法
2024-10-15
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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