基于AI大数据的交通工程智能风险预警研究

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【中图分类号】：U415.12 【文献标志码】：A 【文章编号】：1008-3197（2025）06-06-05

【DOI编码】：10.3969/j.issn.1008-3197.2025.06.002

Research on Intelligent Risk Early Warning of Traffic Engineering Based on AI Big Data

YINFulai

（YanchengHighway EngineeringCo.，Ltd.，Yancheng 224Ooo，China）

【Abstract：Inviewoftheproblems thatthe traditional traficengineeringrisk management methodsrelyonmanualexperience judgment，such as early warning lag and insufficient accuracy，an intelligent risk early warning system for traffic engineering basedonAI big data is constructed.The multi-source dataacquisition technology is usedto integratethe sensordata of theconstruction site，historical Engineeringarchives，traffcflow information and meteorological environment information，and a four-dimensional early warning index system covering safety，quality，progress andcost is established.The deep learning algorithm is used to inteligently identify the risk data，and the dynamic assessment and prediction of the risk situation are realized through the machine learning model，which provides intelligent technical means forthe risk management and control of traffic engineering，efectively improves the timelinessand accuracyof risk identification，and promotes the development of digital and refined engineering management.

【KeyWords】：transportationengineering;artificalintelligence;bigdata;riskwaring;intellgentmanagementandcontrol

交通工程作为国家基础设施建设的核心，涵盖道路、桥梁、隧道等多个专业领域，其建设质量直接影响交通运输效率和公众生命财产安全。（剩余6431字）