石黄节假日逃费筛查数据

“节假日闯口逃费筛查系统”利用节假日闯口逃费筛查数据的逻辑关系,依托原始数据库，结合多源数据及节假日闯口逃费特征、业务规则，利用分类、筛查、决策数、逻辑回归等机器学习算法,可以快速筛查出这类利用节假日免费期间“紧急”车道进行逃费漏费的车辆，减少通行费损失，维护良好的收费秩序，实现通行费应收尽收、应缴尽缴。

The Holiday Toll Evasion Screening System utilizes the logical correlations inherent in holiday toll evasion screening data, relies on the original database, integrates multi-source data, the characteristics of holiday toll evasion behaviors and relevant business rules, and adopts machine learning algorithms including classification, screening, decision tree and logistic regression. It can rapidly identify vehicles that evade or underpay tolls by exploiting "emergency" lanes during toll-free holiday periods, thereby reducing toll revenue losses, maintaining a sound toll collection order, and ensuring full collection and payment of all applicable tolls as stipulated.

搜集汇总

背景与挑战

背景概述

该数据集用于支持节假日闯口逃费筛查系统，通过机器学习算法分析车辆通行特征，有效识别逃费车辆以保障通行费征收。系统结合多源数据和业务规则，实现收费秩序的智能化维护。