基于大数据分析的数字孪生技术在智慧交通中的应用  

The application of digital twin technology based on big data analysis in smart transportation

作　　者：申祖桢 SHEN Zuzhen(China Railway SIYUAN Survey and Design Group Co.,Ltd.,Wuhan 430063)

机构地区：[1]中铁第四勘察设计院集团有限公司交通院,武汉430063

出　　处：《铁道勘测与设计》2025年第2期70-73,共4页Railway Survey and Design

摘　　要：在城市化快速发展的背景下,传统的交通管理方式已不足以应对现代城市的交通问题。智慧交通系统,作为一种有效的解决方案,正在逐步成为城市交通管理的新方向。本文探讨了数字孪生技术在智慧交通中的应用,通过构建交通系统的虚拟模型,实现对交通流的实时监控、预测和管理,优化交通系统,提升其运行效率,实现更可持续的城市交通发展。本文将从智慧交通、数字孪生技术的基本概念、核心技术、应用案例及未来发展方向等方面进行详细阐述。In the context of the rapid development of urbanization,traditional transportation management methods are not enough to cope with the challenges of modern cities.As an effective solution,the smart transportation system is gradually becoming a new direction for urban traffic management.This article explores the application of digital twin technology in smart transportation.By constructing the virtual model of the transportation system,real-time monitoring,prediction and management of traffic exchange,optimizing the transportation system,improving their operating efficiency,and achieving more sustainable urban transportation development Essence This article will explain in detail from the basic concepts of smart transportation,digital twin technology,core technology,application cases,and future development direction.

关 键 词：数字孪生 智慧交通 大数据分析 交通管理 映射 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]