The invention relates to the technical field of intelligent networked automobiles, and particularly discloses an intelligent networked automobile running safety risk early warning method for a fixed route, which comprises the following steps: acquiring single-day multi-frame historical running data of an intelligent networked automobile; dividing the single-day multi-frame historical operation data into single-day multi-pass historical operation data; determining a vehicle driving state corresponding to each frame of historical operation data in single-trip historical operation data of a single day; determining the scene category of the same position point on the fixed route according to the vehicle driving state corresponding to the same accumulated driving mileage in the historical operation data of multiple shifts of the single day; updating the scene category of each position point; and when the intelligent networked automobile runs to each position point on the fixed route, performing early warning on the operation safety risk of the intelligent networked automobile according to the final scene category of each position point on the fixed route. According to the invention, the complexity of the research and judgment model can be effectively reduced, and the research and judgment instantaneity and accuracy are improved.
本发明涉及智能网联汽车技术领域,具体公开了一种针对固定路线行驶的智能网联汽车运行安全风险预警方法,包括:获取智能网联汽车单日的多帧历史运行数据;将单日的多帧历史运行数据划分为单日的多趟班次历史运行数据;确定出单日的单趟班次历史运行数据中每帧历史运行数据对应的车辆行驶状态;根据单日的多趟班次历史运行数据中同一个累积行驶里程对应的车辆行驶状态确定出固定路线上同一个位置点的场景类别;对每一个位置点的场景类别进行更新;当智能网联汽车行驶到固定路线上的每一个位置点时,根据固定路线上每一个位置点的最终场景类别对智能网联汽车的运行安全风险进行预警。本发明能够有效降低研判模型复杂度及提升研判实时性与准确性。
Intelligent network connection automobile running safety risk early warning method for fixed route driving
针对固定路线行驶的智能网联汽车运行安全风险预警方法
2025-02-25
Patent
Electronic Resource
Chinese
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