面向全量认知的城市智慧交通数据赋能平台建设与应用研究  

Research on the construction and application of a data empowerment platform for urban intelligent transportation based on comprehensive cognition

作　　者：张磊 龚永刚 卢祎 高杨 ZHANG Lei;GONG Yonggang;LU Yi;GAO Yang(Traffic Management Bureau of Chengdu Public Security Bureau,Chengdu 610017,China)

机构地区：[1]成都市公安局交通管理局,成都610017

出　　处：《汽车与安全》2025年第3期83-87,共5页Auto & Safety

摘　　要：随着城市交通进入数据时代,数据是城市智慧交通最核心的生产资料已成共识,然而庞大的数据如何科学处理仍是智慧交通建设应用的难题。本文首先从智慧交通系统用户的角度出发,对现阶段城市智慧交通中数据应用存在的问题进行了梳理,然后结合城市交通全量认知,提出了建设智慧交通数据赋能平台的思路,最后对赋能平台的实战应用路径和架构体系进行了展望,旨在为城市智慧交通建设应用提供参考。With urban transportation entering the data driven era,it has become a consensus that data is the most core production factor in urban intelligent transportation.However,how to scientifically process the massive data remains a challenge in the construction and application of intelligent transportation.Firstly,from the perspective of users of intelligent transportation systems,this paper sorts out the problems existing in the application of data in current urban intelligent transportation.Then,com bi ned with the comprehensive understanding of urban traffic,it puts forward the idea of building an intelligent transportation data enabling platform.Finally,it looks ahead to the practical application paths and architectural systems of the enabling platform,aiming to provide a reference for the construction and application of urban intelligent transportation.

关 键 词：智慧交通 数据应用 全量认知 

分 类 号：U495[交通运输工程—交通运输规划与管理]