一种基于多源数据融合的高速公路运行监测系统设计

Design of Highway Monitoring System Based on Multi-Source Data Fusion

当前高速公路各类信息化系统建设日趋完善,获取的数据日益增多,如何利用这些数据精准地还原高速公路运行态势场景是一大难题。研究基于数据融合JDL(Joint Directors of Laboratories)模型的数据修正和平滑,研究基于k-Means聚类分析算法的数据分析,设计开发一种具有可视、可测等核心功能的高速公路运行监测系统。应用结果表明,该系统能有效提升高速公路管理单位开展高速公路运行监测业务的时效性、实时性和预见性。

At present, the highway information systems is becoming more and more sophisticated, and the data obtained is increasing day by day. How to use these data to accurately restore the operation situation of expressways is the next challenge. This paper studies the data correction and smoothing based on data fusion JDL(Joint Directors of Laboratories) model, and studies the data analysis based on K-means clustering analysis algorithm, designs and develops a highway operation monitoring system with visible, measurable and other core functions. The application results show that the system can effectively improve the timeliness, real-time performance and predictability of the highway management unit to monitor the running state of the highway network.