The method for predicting the motion trail of the intersection comprises the steps that a road sensor analysis and calculation system obtains the initial states of a moving target and a non-moving target of the intersection and transmits a processing result to a vehicle management system, the vehicle management system selects a dangerous target according to a drawn motion trail, then the dangerous target is fitted, and the vehicle management system determines the motion trail of the intersection. The fitted dangerous target is emphatically monitored, a vehicle running track is changed according to the real-time moving state of the dangerous target, the most feasible vehicle running track is selected according to the target state of the dangerous target, and a back propagation neural network training learning module divides prediction data and actual running data into training set data and test set data according to the proportion; the accuracy of the driving control data is further improved; the data processing amount is reduced through three-stage screening of a road sensor, dangerous target selection and fitting processing, the data processing amount of the vehicle-mounted system is reduced, and the effective processing efficiency of data is improved.
交叉路口的运动轨迹预测方法,包括:道路传感器分析计算系统获取交叉路口移动目标、非移动目标的初始状态并将处理结果输送到车辆管理系统,车辆管理系统先根据绘制的运行轨迹选定危险目标,再将危险目标进行拟合,重点监测拟合后的危险目标,根据危险目标的实时移动状态更改车辆运行轨迹并根据危险目标的目标状态选定最可行的一条车辆运行轨迹,反向传播神经网络训练学习模块将预测数据、实际运行数据按照比例分为训练集、测试集数据,进一步提高驾驶控制数据的精确度;上述数据处理量经过道路传感器、危险目标选定、拟合处理的三级筛选、缩减,降低车载系统的数据处理量,提高数据的有效处理效率。
Method for predicting motion trail of intersection
交叉路口的运动轨迹预测方法
2022-07-29
Patent
Electronic Resource
Chinese
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