Traffic information computing platform for big data

Journal Article · Mon Oct 06 00:00:00 EDT 2014 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.4897773· OSTI ID:22307937

Duan, Zongtao; Li, Ying; Zheng, Xibin; Liu, Yan; Dai, Jiting; Kang, Jun ^[1]

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1. Chang'an University School of Information Engineering, Xi'an, China and Shaanxi Engineering and Technical Research Center for Road and Traffic Detection, Xi'an (China)

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.

• OSTI ID: 22307937
• Journal Information: AIP Conference Proceedings, Vol. 1618, Issue 1; Conference: ICCMSE 2014: International conference on computational methods in science and engineering 2014, Athens (Greece), 4-7 Apr 2014; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICAL METHODS AND COMPUTING
COMPUTER ARCHITECTURE
COMPUTER CALCULATIONS
DATA PROCESSING
DATA TRANSMISSION
OPERATION
SAFETY