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Article

Querying Road Traffic Data from a Document Store

Published: 08 December 2014 Publication History

Abstract

We present a novel system called Extrac for querying a large database of road traffic information. Such traffic data are collected from an ITS (Intelligent transportation systems) center of Busan and represents speed values of all road segments of Busan for every 5 minutes. Extrac stores the collected traffic data into a No SQL document database and supports a traffic congestion queries. It adopts a suite of new approaches for (a) transformation of traffic data into pattern summaries based on a MapReduce framework, and (b) efficient congestion query processing which utilizes single value decomposition (SVD) of transformed matrices. We demonstrate the Extract systems using real traffic data of Busan metropolitan city.

References

[1]
Busan ITS, "Busan Intelligence Traffic System," http://its.busan.go.kr, 2013.
[2]
Jiwan Lee, Bonghee Hong, Yang-Ja Jang, ""Urban Traffic Congestion Visualization based on Historical Roadside Sensor Data," 2014, 'DASFAA International Workshops : Big Data Management and Analytics.
[3]
J. Dean and S. Ghemawat, "Mapreduce: Simplified data processing on large clusters," Commun. ACM, vol. 51, no. 1, pp. 107-113, Jan. 2008. [Online]. Available: http://doi.acm.org/10.1145/1327452.1327492
[4]
MongoDB Inc., "MongoDB Data Models," http://docs.mongodb.org/manual/data-modeling/, 2014.
[5]
M. E. Wall, A. Rechtsteiner, and L. M. Rocha, "Singular value decomposition and principal component analysis, in a practical approach to microarray data analysis," Kluwel. chapter, vol. 5, pp. 91-109, 2003.

Cited By

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  • (2017)A similarity query system for road traffic data based on a NoSQL document storeJournal of Systems and Software10.1016/j.jss.2017.01.016127:C(28-51)Online publication date: 1-May-2017

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Information & Contributors

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Published In

cover image ACM Conferences
UCC '14: Proceedings of the 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing
December 2014
1035 pages
ISBN:9781479978816

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IEEE Computer Society

United States

Publication History

Published: 08 December 2014

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Author Tags

  1. document store
  2. traffic information
  3. traffic pattern

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Overall Acceptance Rate 38 of 125 submissions, 30%

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  • (2017)A similarity query system for road traffic data based on a NoSQL document storeJournal of Systems and Software10.1016/j.jss.2017.01.016127:C(28-51)Online publication date: 1-May-2017

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