The invention belongs to the field of expressway toll collection, and particularly relates to a method for screening and shielding passing medium toll evasion vehicles based on expressway toll collection data, which comprises the following steps of: S1, collecting portal data including passing time, places, vehicle types, OBU equipment state information and transaction records of vehicles; repeated, abnormal or missing data are removed, and the integrity and accuracy of the data are ensured; s2, key features are extracted, wherein the key features comprise vehicle passing paths, portal transaction records and OBU equipment state changes; selecting key features capable of reflecting the fee evasion behavior of the shielding medium according to the characteristics of the fee evasion behavior; s3, an algorithm is selected, the algorithm comprises a classification algorithm or a deep learning algorithm in machine learning, historical data of known fee evasion behaviors are used as a training set, portal data are analyzed, shielding medium fee evasion vehicles are screened out, time is greatly saved, and working efficiency is improved.
本发明属于高速公路收费领域,尤其是一种基于高速公路收费数据的筛查屏蔽通行介质逃费车辆的方法,包括以下步骤:S1、收集门架数据:包括车辆的通行时间、地点、车型、OBU设备状态信息、交易记录;去除重复、异常或缺失的数据,确保数据的完整性和准确性;S2、提取关键特征:包括车辆通行路径、门架交易记录、OBU设备状态变化;根据逃费行为的特点,选择能够反映屏蔽介质逃费行为的关键特征;S3、选择算法:包括机器学习中的分类算法或深度学习算法,使用已知逃费行为的历史数据作为训练集,本发明通过对门架数据进行分析,筛选出屏蔽介质逃费车辆,极大的节约了时间,提高了工作效率。
Method for screening and shielding passing medium toll evasion vehicles based on highway toll collection data
一种基于高速公路收费数据的筛查屏蔽通行介质逃费车辆的方法
2025-05-23
Patent
Electronic Resource
Chinese
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