Traffic Information Computing Platform for Big Data

被引：0

作者：

Duan, Zongtao ^{[1
]}

Li, Ying ^{[1
]}

Zheng, Xibin ^{[1
]}

Liu, Yan ^{[1
]}

Dai, Jiting ^{[1
]}

Kang, Jun ^{[1
]}

机构：

[1] Changan Univ, Sch Informat Engn, Xian, Peoples R China

来源：

INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2014 (ICCMSE 2014) | 2014年 / 1618卷

关键词：

big data; traffic information; computing platform;

D O I：

10.1063/1.4897773

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

Big data environment create data conditions for improving the quality of traffic information service. The target of this article is to construct a traffic information computing platform for big data environment. Through in-depth analysis the connotation and technology characteristics of big data and traffic information service, a distributed traffic atomic information computing platform architecture is proposed. Under the big data environment, this type of traffic atomic information computing architecture helps to guarantee the traffic safety and efficient operation, more intelligent and personalized traffic information service can be used for the traffic information users.

引用

页码：464 / 467

页数：4

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