Research on intelligent traffic congestion management strategies based on big data analysis
基于大数据分析的智慧交通拥堵治理策略研究

摘要

智慧交通系统在现代城市管理中起着重要作用，特别是在缓解交通拥堵方面。基于大数据分析的智慧交通拥堵治理策略能够精准掌握交通流量、路况变化及事故信息，从而有效预测和调控交通流。通过分析现有交通数据，并结合人工智能算法，智能化管理方案能够实现实时的交通监控与调度优化，提升交通效率。依托大数据技术能够实现对交通拥堵的智能预测与精准治理，为城市交通的可持续发展提供了新思路。

Abstract

The intelligent transportation system plays a crucial role in modern urban management, especially in alleviating traffic congestion. Intelligent traffic congestion management strategies based on big data analysis can accurately grasp traffic flow, road condition changes, and accident information, thereby effectively predicting and regulating traffic flow. By analyzing existing traffic data and combining artificial intelligence algorithms, intelligent management schemes can realize real-time traffic monitoring and dispatching optimization, and improve traffic efficiency. Relying on big data technology, it can achieve intelligent prediction and precise governance of traffic congestion, providing new ideas for the sustainable development of urban transportation.