The invention discloses a C-V2X-based vehicle congestion comprehensive analysis method and system, and belongs to the technical field of Internet of Vehicles. According to the invention, real-time traffic data collection and storage are carried out, real-time congestion analysis is carried out, machine learning is adopted to predict a congested road section, whether the road is congested or not is comprehensively and stereoscopically analyzed and predicted, and an analysis result and a prediction result are comprehensively displayed through a visual interface. The method plays an important role in smooth operation of the road and also makes a great contribution to environmental protection, a traffic control department can perform all-around real-time monitoring on the road, and historical data comparison can be performed on indexes which may cause congestion, so that the value of a large amount of data acquired based on a C-V2X scene is also greatly excavated, and the method is suitable for popularization and application. A foundation is provided for follow-up analysis of the root cause of congestion, and great service support is provided for solving the congestion problem by flexibly using the method and the system.
本发明公开了一种基于C‑V2X的车辆拥堵综合分析方法及系统,属于车联网技术领域。本发明通过进行实时交通数据收集存储,进行实时拥堵分析,采用机器学习对于拥堵路段进行预测,综合立体地对于道路是否拥堵进行了分析和预测,并通过可视化界面对于分析结果和预测结果进行了全方位得展示,这对于道路畅通运行有重要作用,也为环保做了很大得贡献,交管部门可以对于道路进行全方位的实时监控,并且对于可能导致拥堵的指标可以进行历史数据的对比,这也极大的挖掘了基于C‑V2X场景获取的大量数据的价值,为后续分析拥堵的根本原因提供了基础,灵活使用本发明将对于解决拥堵问题提供很大的业务支撑。
C-V2X-based vehicle congestion comprehensive analysis method and system
一种基于C-V2X的车辆拥堵综合分析方法及系统
2024-03-01
Patent
Electronic Resource
Chinese
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