摘要
Abstract
In view of the problems that the traditional traffic engineering risk management methods rely on manual experi-ence judgment,such as early warning lag and insufficient accuracy,an intelligent risk early warning system for traffic engineering based on AI big data is constructed.The multi-source data acquisition technology is used to integrate the sensor data of the construction site,historical Engineering archives,traffic flow informa-tion and meteorological environment information,and a four-dimensional early warning index system covering safety,quality,progress and cost is established.The deep learning algorithm is used to intelligently identify the risk data,and the dynamic assessment and prediction of the risk situation are realized through the ma-chine learning model,which provides intelligent technical means for the risk management and control of traf-fic engineering,effectively improves the timeliness and accuracy of risk identification,and promotes the de-velopment of digital and refined engineering management.关键词
交通工程/人工智能/大数据/风险预警/智能管控Key words
transportation engineering/artificial intelligence/big data/risk warning/intelligent management and control分类
交通工程
