The invention relates to the technical field of traffic management, in particular to a bus driver driving behavior early warning evaluation method, system and device. In the method, in the data acquisition step, vehicle driving state data and driver state data are mainly acquired; the data preprocessing step comprises data cleaning, data completion, map matching and travel division so as to ensure the quality and accuracy of data. In the deep learning training step, a deep learning algorithm model composed of LSTM, CNN and YOLOv5 is used to train the collected and preprocessed data, so that the model can learn and identify the behavior of the driver from the data. In the behavior recognition and early warning step, when abnormal driving behaviors are recognized, a driver is early warned in time. The behavior evaluation step can comprehensively evaluate the behavior of the driver. According to the method, the behavior of the driver can be early warned and evaluated accurately in real time, so that the driving safety of the bus is improved.
本发明涉及交通管理技术领域,尤其是一种公交车驾驶员驾驶行为预警评价方法、系统及装置。该方法中,数据采集步骤主要采集车辆行驶状态数据及驾驶员状态数据。数据预处理步骤包括数据清洗、数据补全、地图匹配和行程划分,以确保数据的质量和准确性。深度学习训练步骤中使用LSTM、CNN以及YOLOv5共同组成的深度学习算法模型,对采集和预处理的数据进行训练,从而使模型能够从数据中学习并识别驾驶员的行为。行为识别及预警步骤在识别出异常驾驶行为时,及时预警驾驶员。行为评价步骤可以对驾驶员的行为进行综合评价。该方法能够实时、准确地预警和评价驾驶员的行为,从而提高公交车的驾驶安全性。
Bus driver driving behavior early warning evaluation method, system and device
一种公交车驾驶员驾驶行为预警评价方法、系统及装置
2024-02-20
Patent
Electronic Resource
Chinese
IPC: | G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / 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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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