The invention relates to a vehicle acceleration prediction method considering driving behavior characteristics in a car-following scene, and the method comprises the steps: 1) obtaining a prediction data set, and carrying out the data processing and variable extraction: carrying out the screening and reservation of effective car-following segments for the obtained prediction data set based on a pre-configured rule, and extracting characteristic variables from the data of the effective car-following segments; 2) constructing a driving behavior semantic division model based on the CHMM, taking the characteristic variable as the input of the driving behavior semantic division model, segmenting the characteristic variable into segments with different behavior characteristics, and performing similarity evaluation on driving behavior semantics; and 3) constructing a CNN-LSTM acceleration prediction model, dividing effective car-following fragment data based on a similarity evaluation result to construct an input and output sample set, training the CNN-LSTM acceleration prediction model, and performing vehicle acceleration prediction based on the trained CNN-LSTM acceleration prediction model. Compared with the prior art, the method has the advantages of high prediction precision and the like.
本发明涉及一种跟驰场景下考虑驾驶行为特征的车辆加速度预测方法,包括:步骤1)获取预测数据集并进行数据处理和变量提取:对获取的预测数据集,基于预配置的规则对有效跟驰片段进行筛选保留,从有效跟驰片段数据中提取特征变量;步骤2)构建基于CHMM的驾驶行为语义划分模型,以特征变量作为驾驶行为语义划分模型的输入,将特征变量分割成具有不同行为特征的片段,并对驾驶行为语义进行相似度评价;步骤3)构建CNN‑LSTM加速度预测模型,基于相似度评价结果划分有效跟驰片段数据构建输入输出样本集,对CNN‑LSTM加速度预测模型进行训练,基于训练完成的CNN‑LSTM加速度预测模型进行车辆加速度预测。与现有技术相比,本发明具有预测精度高等优点。
Vehicle acceleration prediction method considering driving behavior characteristics in following scene
一种跟驰场景下考虑驾驶行为特征的车辆加速度预测方法
2023-06-23
Patent
Elektronische Ressource
Chinesisch
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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