基于人工智能检视的ETC稽查管理系统

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英文篇名：Research of ETC Audit Management System based on Artificial Intelligence Inspection 作者：赵梓城 英文作者：ZHAO Zicheng;Guangdong Provincial Highway Construction Co., Ltd.; 关键词：ETC ; 人工智能学习 ; 激光检测 ; 稽查管理系统 英文关键词：ETC;;artificial intelligence;;laser detection;;audit management system 中文刊名：GDGT 英文刊名：Guangdong Highway Communications 机构：广东省公路建设有限公司; 出版日期：2019-02-28 出版单位：广东公路交通 年：2019 期：v.45;No.160 语种：中文; 页：GDGT201901015 页数：5 CN：01 ISSN：44-1275/U 分类号：34+66-69

摘要

根据ETC车道设备布局,结合ETC车辆逃费现状,分析ETC系统防逃费体系,提出运用人工智能深度学习、特征判别、多源数据分析比对模型、激光检测等技术,设计ETC车道防逃费稽查体系,形成了智能防逃补漏的稽查管理系统,经实践应用,取得了良好效果。
        Being based on the current ETC lane equipment layout and the current situation of ETC vehicle fee-escape, the anti-fee-escape system of ETC system has been analyzed. The technology, such as deep learning, feature discrimination, multi-source data analysis and comparison model, and laser detection have been proposed. The anti-fee-escape inspection system for ETC lanes has been designed, and an intelligent anti-missing inspection management system has been formed. The system has achieved good results in the trial operation.

引文

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