多源交通数据融合与分析在智慧交管中的应用研究  

Research on the Application of Multi-source Traffic Data Fusion and Analysis in Intelligent Traffic Management

作　　者：马啸 MA Xiao(China Communications System Co.,Ltd.,Shijiazhuang,Hebei,050299,China)

机构地区：[1]中华通信系统有限责任公司,河北石家庄050299

出　　处：《智能城市应用》2025年第2期100-102,共3页Smart City Application

摘　　要：随着全球城市交通压力的不断增加,现代化交通需求已经使传统的交通管理模式难以适应。应运而生的智慧交通系统,凭借多源数据融合与分析技术,能够实现实时交通监控、流量预测及事故预警等功能,从而显著提升了交通管理的效率与安全性。尽管这一技术展现出了巨大的应用前景,数据采集、技术融合及隐私保护等诸多挑战仍然存在。如何突破这些难题,进一步实现更加精准与高效的交通管理,已成为当前研究的核心问题。With the continuous increase of global urban traffic pressure,the demand for modern transportation has made it difficult for traditional traffic management models to adapt.The emerging intelligent transportation system,relying on multi-source traffic data fusion and analysis technology,can achieve real-time traffic monitoring,flow prediction,and accident warning functions,thereby significantly improving the efficiency and safety of traffic management.Despite the enormous application prospects of this technology,many challenges still exist,such as data collection,technology integration,and privacy protection.How to overcome these challenges and further achieve more precise and efficient traffic management has become the core issue of current research.

关 键 词：多源交通数据 智能交通 智能预测 

分 类 号：U492.8[交通运输工程—交通运输规划与管理]