城市智能交通大数据平台的模型库研究与设计分析  

Research and Design Analysis of Model Bases of the Urban Intelligent Transportation Big Data Platform

作　　者：马宁博 MA Ningbo(Hefei Municipal Design and Research Institute Co.,Ltd.,Hefei,Anhui Province,230000 China)

机构地区：[1]合肥市市政设计研究总院有限公司,安徽合肥230000

出　　处：《科技资讯》2023年第7期26-29,共4页Science & Technology Information

摘　　要：智能交通是城市现代化发展的一个重要方向,智能交通最大的外在表现是应用通信、计算机等高新科技逐步建设与应用模型库、知识库等,一方面显著提升了交通系统的运行效率,另一方面也增强了地面交通网络的安全性。该文首先分析交通大数据平台的模型库的基本功能,包括记录过车及车辆违规行驶数据、对接信号控制系统等;其次从不同方面探究主要模型库的设计方法,有交通状态识别、交通专题分析、跨专题式大数据分析挖掘模型这3种;最后探讨交通仿真与该文所设计功能性平台的融合问题,统计并分析了区域内车辆仿真结果,证实了该研究设计平台的科学性、有效性,具有一定推广价值。Intelligent transportation is an important direction of urban modernization development.The biggest external manifestation of intelligent transportation is to apply high and new technologies such as communication and computer to gradually construct and apply model bases and knowledge bases,which,on the one hand,significantly improves the operation efficiency of the transportation system,and,on the other hand,also enhances the safety of the ground transportation network.Firstly,the paper analyzes the basic functions of the model base of the traffic big data platform,including recording the data of passing and illegal driving of vehicles,docking the signal control system,etc.Secondly,it explores the design method of the main model base from different aspects,including traffic state identification,traffic thematic analysis and cross-thematic big data analysis and mining models.Finally,it discusses the integration of traffic simulation and the functional platform designed in this paper,and counts and analyzes vehicle simulation results in the region,which confirms the scientificity and effectiveness of the platform designed in this paper,and has certain promotion value.

关 键 词：城市智能交通 大数据平台 模型库设计 技术应用 

分 类 号：U495[交通运输工程—交通运输规划与管理]