基于大数据分析的勐绿高速交通流量预测与优化研究  

Research on traffic flow prediction and optimization of Menglv expressway based on big data analysis

作　　者：冯强 FENG Qiang(China Railway Sixth Group Electric Engineering Co.,Ltd.,Beijing 100071,China)

机构地区：[1]中铁六局集团电务工程有限公司,北京100071

出　　处：《计算机应用文摘》2025年第8期81-83,共3页

摘　　要：作为一条新修建但尚未开通的高速公路,勐绿高速位于靠近国境的地区,客流量相对较低。应用大数据技术进行精准的交通流量预测与优化,可以有效提高道路的使用效率,减少资源浪费,从而为未来的交通管理和规划提供科学依据。文章首先回顾了大数据在交通流量预测中的应用现状,分析了现有技术的发展趋势。随后,结合勐绿高速的具体情况,构建了一个基于大数据的交通流量预测模型,并根据分析结果提出了相应的优化策略,旨在解决未来高速公路的交通拥堵问题,提升道路通行能力。研究结果表明,合理利用大数据技术能够有效预测交通流量、优化道路资源分配,从而为交通管理部门提供科学的决策支持。As a newly built but not yet opened highway,Menglv Expressway is located near the border and has relatively low passenger flow.The application of big data technology for accurate traffic flow prediction and optimization can effectively improve the efficiency of road use and reduce resource waste,thus providing a scientific basis for future traffic management and planning.This paper first reviews the application status of big data in traffic flow forecasting and analyzes the development trend of relevant technologies.Then,combined with the specific situation of Menglv expressway,a traffic flow prediction model based on big data is constructed,and according to the analysis results,the corresponding optimization strategy is proposed,aiming at solving the future traffic congestion problem of expressway and improving the road capacity.The results show that the rational use of big data technology can effectively predict the traffic flow and optimize the allocation of road resources,so as to provide scientific decision support for the traffic management department.

关 键 词：大数据分析 交通流量预测 优化方法 勐绿高速 交通管理 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]