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Title: Traffic information computing platform for big data

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.
Authors:
; ; ; ; ;  [1]
  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)
Publication Date:
OSTI Identifier:
22307937
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1618; Journal 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)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICAL METHODS AND COMPUTING; COMPUTER ARCHITECTURE; COMPUTER CALCULATIONS; DATA PROCESSING; DATA TRANSMISSION; OPERATION; SAFETY