大数据视域下三亚市道路交通拥堵治理模式优化研究  

Optimization of Road Traffic Congestion Management Model in Sanya City from the Perspective of Big Data

作　　者：韩丹 欧阳莉 HAN Dan;OUYANG Li(Sanya Institute of Technology,Sanya 572000,China)

机构地区：[1]三亚理工职业学院,海南三亚572000

出　　处：《智能物联技术》2024年第4期21-24,共4页Technology of Io T& AI

基　　金：海南省高等学校科学研究项目(hnky2024ZD-25);三亚市社会科学界联合会课题(SYSK2023-03);三亚理工职业学院2023年度科研创新团队课题(SITKY2023-01)。

摘　　要：分析三亚市交通发展的供需状况,指出季节性交通需求差异和旺季交通压力,探讨交通大数据的特征与应用,包括数据来源、覆盖领域、实时性、多源数据融合及预测性分析等方面。介绍智能网联三级交通信号诱导系统和城市超级大脑项目在三亚的应用。详细讨论大数据技术在交通信号控制中的作用,包括数据收集与分析、信号灯优化、数学模型与优化算法等,并通过案例模拟展示应用效果。提出大数据技术在交通治理中的方向,包括交通管理与调度、动态路权管理和交通流量预测算法,以提高三亚市交通管理效率,缓解拥堵,提升出行体验。This article analyzes the supply and demand situation of transportation development in Sanya city,points out seasonal differences in transportation demand and peak season traffic pressure,and explores the characteristics and applications of transportation big data,including data sources,coverage areas,real-time performance,multi-source data fusion,predictive analysis,etc.Introduced the application of intelligent networked three-level traffic signal guidance system and urban super brain project in Sanya.The role of big data technology in traffic signal control was discussed in detail,including data collection and analysis,signal optimization,mathematical models and optimization algorithms,etc.The application effect was demonstrated through case simulations.The direction of big data technology in traffic governance has been proposed,including traffic management and scheduling,dynamic right of way management,and traffic flow prediction algorithms,to improve the efficiency of traffic management in Sanya city,alleviate congestion,and enhance travel experience.

关 键 词：大数据 交通拥堵 道路交通 

分 类 号：D631.5[政治法律—政治学]