大数据及其在城市智能交通系统中的应用综述

被引：147

作者：

陆化普

孙智源

屈闻聪

机构：

[1] 清华大学交通研究所

来源：

交通运输系统工程与信息 | 2015年 / 15卷 / 05期

关键词：

智能交通; 交通大数据; 数据驱动; 智能交通系统;

D O I：

10.16097/j.cnki.1009-6744.2015.05.007

中图分类号：

U495 [电子计算机在公路运输和公路工程中的应用];

学科分类号：

0838 ;

摘要：

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.

引用

页码：45 / 52

页数：8

共 25 条

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