The invention relates to the field of traffic intelligent management, and particularly discloses a traffic intelligent management system and method based on the Internet of Things, and the method comprises the steps: firstly obtaining a road monitoring image collected by a camera, traffic flow information at a plurality of time points collected by a sensor, and meteorological text data collected by an external database; the method comprises the following steps of: firstly, performing feature extraction and correlation analysis on the traffic light, traffic light and traffic light by using a deep learning technology, and finally obtaining a classification result through a classifier to judge whether the traffic light passing time is adjusted or not, thereby providing more humanized traffic management, and further improving traffic efficiency, reducing congestion, saving energy and improving environment quality.
本申请涉及交通智能管理领域,其具体地公开了一种基于物联网的交通智能管理系统及其方法,其首先获取由摄像头采集的道路监控图像、由传感器采集的多个时间点的车流量信息和由外部数据库采集的气象文本数据,然后利用深度学习技术,对三者进行特征提取和关联分析,最后通过分类器得到分类结果,以判断是否对红绿灯通行时间进行调节,从而提供更加人性化的交通管理,进而提高交通效率,减少拥堵,节约能源和改善环境质量。
Traffic intelligent management system and method based on Internet of Things
基于物联网的交通智能管理系统及其方法
2024-06-18
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V |
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