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作 者:李鸿光 胡班班 党若琳 LI Hongguang;HU Banban;DANG Ruolin(Xi'an Traffic Engineering Institute,Xi'an 710300,China)
出 处:《西安交通工程学院学术研究》2024年第3期58-62,共5页Academic Research of Xi'an Traffic Engineering Institute
摘 要:本文以现代科技革命为背景,深入析了在当前中国经济繁荣推动下私人汽车保有量迅猛增长所引发的城市交通拥堵现象,这一问题已上升为大中城市呕待解决的关键瓶颈,不仅制约着城市社会经济的健康发展,也对城市管理效率提出了严峻挑战。文章立足于理论与实践相结合的研究视角,系统论证了运用大数据技术解决交通拥堵问题的科学性和可行性,并在此基础上提出通过深度挖掘和综合集成各类复杂的城市交通大数据资源,旨在精准预测交通态势、优化交通流量分配、提升道路网络使用效能及强化交通安全保障等多维度目标。进而,倡导构建一套基于大数据分析的智能化、高效化城市交通管理体系,以期有效缓解城市交通拥堵状况,有力助推城市交通管理水平迈上新台阶,并促进城市的可持续发展进程。With the modern scientific and technological revolution as the background,this paper deeply analyzes the urban traffic congestion caused by the rapid growth of private car ownership driven by the current economic prosperity in China.This problem has risen to the key bottleneck that needs to be solved in large and medium-sized cities,which not only restricts the healthy development of urban social economy,but also poses a severe challenge to the efficiency of urban management.Based on the research perspective combining theory and practice,this paper systematically demonstrates the scientificity and feasibility of using big data technology to solve traffic congestion.On this basis,it proposes to deeply explore and comprehensively integrate various complex urban traffic big data resources.It aims to accurately predict traffic situation,optimize traffic flow distribution,improve road network efficiency and strengthen traffic safety and other multi-dimensional goals.Furthermore,it advocates the construction of a set of intelligent and efficient urban traffic management system based on big data analysis,in order to effectively alleviate urban traffic congestion,effectively boost the level of urban traffic management to a new level,and promote the process of sustainable development of the city.
分 类 号:TP391[自动化与计算机技术—计算机应用技术] U491[自动化与计算机技术—计算机科学与技术]
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