The invention discloses an intelligent automobile lane change influence range quantification method, which comprises the following steps of: fitting a longitudinal relative distance curve for each rear automobile on an original lane and a target lane based on a lane change automobile sample, and judging the number of automobiles behind the original lane and the target lane influenced by lane change of the automobile according to the fitted longitudinal relative distance curve; taking the number of vehicles behind the original lane or the target lane influenced by lane change as a dependent variable, and combining two-stage explanatory variables of road sections and vehicles to construct a two-layer lane change influence linear regression model; and acquiring explanatory variables in real time in an Internet of Vehicles environment, inputting the explanatory variables into the two-layer lane change influence linear regression model, outputting lane change influence range latent variables in real time, and determining the number of influenced vehicles according to the magnitude relationship between the latent variables and evaluation sequencing variable thresholds. The method is suitable for intelligent vehicle lane changing track planning in a complex multi-vehicle scene.

    本发明公开了一种智能汽车换道影响范围量化方法,基于换道车辆样本,对自车在原车道和目标车道上每辆后车拟合纵向相对距离曲线,由拟合纵向相对距离曲线判断自车换道影响原车道、目标车道后方的车辆数,以原车道或目标车道受换道影响的后方车辆数为因变量,结合路段和车辆两级解释变量,构建两层换道影响线性回归模型;车联网环境实时获取解释变量,输入两层换道影响线性回归模型,实时输出换道影响范围潜变量,根据潜变量与评价定序变量阈值的大小关系确定受影响车辆数。本发明方法适用于复杂多车场景的智能汽车换道轨迹规划。


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    Title :

    Intelligent automobile lane changing influence range quantification method


    Additional title:

    一种智能汽车换道影响范围量化方法


    Contributors:
    XIONG XIAOXIA (author) / HE YU (author) / CHEN HAN (author) / XU CHENGJIE (author) / HUANG HONGKAI (author) / MA QILONG (author) / CAI YINGFENG (author) / LIU QINGCHAO (author) / WANG HAI (author)

    Publication date :

    2024-02-02


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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