TACSTechnology and Application of Computer Science2998-89262998-8934Art and Technology10.61369/TACS.2025120002Article路面附着系数预估与行车风险智能预警系统研究https://artdesignp.com/journal/TACS/2/12/10.61369/TACS.2025120002叶琦,黎帅,张家兴,殷悦航20252122025-06-28针对冰雪等低附着路面行车安全，本文提出“附着系数估算—LSTM 风险预测— 多参数分级预警”一体化方法。基于视觉分割、激光雷达反射特性与车路协同融合前瞻估计μ；构建LSTM 融合IMU、车速、车距等时序特征预测未来风险；以侧滑率、制动距离比、横向附着利用率及ΔT 等阈值判定危险等级并触发预警。仿真显示该方法在低附着工况下显著提升纵向控制与稳定性，附着识别前瞻准确率达99.3%，可提前数秒识别高风险状态，为冰雪道路主动安全提供支撑。路面附着系数,智能车辆,多传感器融合,LSTM 网络,风险预警

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