交通运输系统工程与信息
交通運輸繫統工程與信息
교통운수계통공정여신식
Journal of Transportation Systems Engineering and Information Technology
2015年
5期
45-52
,共8页
智能交通%交通大数据%数据驱动%智能交通系统
智能交通%交通大數據%數據驅動%智能交通繫統
지능교통%교통대수거%수거구동%지능교통계통
intelligent transportation%traffic big data%data driven%intelligent transportation system
大数据给城市智能交通系统的技术发展与应用革新带来了机遇和挑战.从交通大数据的基本概念、交通大数据带来的问题和大数据驱动的数学建模方法等方面,阐述了交通大数据给智能交通系统带来的变革.为了深入理解交通大数据的内涵,分析交通大数据的产生背景,提出了交通大数据的"6V"特征,总结了智能交通系统中大数据的基本类型.面对交通大数据带来的数据安全、网络通信、计算效率和数据存储等诸多问题,提出了应对策略和思路.对数据驱动的建模方法进行了分析,说明了混合模型的意义.最后,讨论了大数据驱动的智能交通系统的体系框架.
大數據給城市智能交通繫統的技術髮展與應用革新帶來瞭機遇和挑戰.從交通大數據的基本概唸、交通大數據帶來的問題和大數據驅動的數學建模方法等方麵,闡述瞭交通大數據給智能交通繫統帶來的變革.為瞭深入理解交通大數據的內涵,分析交通大數據的產生揹景,提齣瞭交通大數據的"6V"特徵,總結瞭智能交通繫統中大數據的基本類型.麵對交通大數據帶來的數據安全、網絡通信、計算效率和數據存儲等諸多問題,提齣瞭應對策略和思路.對數據驅動的建模方法進行瞭分析,說明瞭混閤模型的意義.最後,討論瞭大數據驅動的智能交通繫統的體繫框架.
대수거급성시지능교통계통적기술발전여응용혁신대래료궤우화도전.종교통대수거적기본개념、교통대수거대래적문제화대수거구동적수학건모방법등방면,천술료교통대수거급지능교통계통대래적변혁.위료심입리해교통대수거적내함,분석교통대수거적산생배경,제출료교통대수거적"6V"특정,총결료지능교통계통중대수거적기본류형.면대교통대수거대래적수거안전、망락통신、계산효솔화수거존저등제다문제,제출료응대책략화사로.대수거구동적건모방법진행료분석,설명료혼합모형적의의.최후,토론료대수거구동적지능교통계통적체계광가.
Big data brings both opportunities and challenges to technological development and application innovation of urban intelligent transportation system. Significant changes of ITS, which brought by traffic big data, are shown in three aspects:the concept of traffic big data, problems brought by traffic big data, and big-data-driven based mathematic modeling methods. This paper is intended to deeply understand big data, the background and category of traffic big data are sketched, the"6V"characteristics of traffic big data are proposed, the basic types of traffic big data in ITS are summarized. Strategies and ideas are presented based on the problems of traffic big data, namely, data security, network communication, computational efficiency, and data storage. This paper also analyzes the method of data driven model, and describes the significance of hybrid model. Finally, system framework of ITS based on traffic big data is proposed.
