research-article

Collaborative analytics for predicting expressway-traffic congestion

Authors:

Chee Seng Chong,

Alan Yu Shyang Tan,

William-Chandra Tjhi,

Reuben Mingguang Li,

Whye Loon Tung,

Francis Bu-Sung LeeAuthors Info & Claims

ICEC '12: Proceedings of the 14th Annual International Conference on Electronic Commerce

Pages 35 - 38

https://doi.org/10.1145/2346536.2346542

Published: 07 August 2012 Publication History

Abstract

There are many ways to build a predictive model from data. Besides the numerous classification or regression algorithms to choose from, there are countless possibilities of useful data transformation prior to modeling. To assist in discovering good predictive analytics workflows, we introduced recently a collaborative analytics system that allows workflow sharing and reuse. We designed a recommendation engine for the system to enable matching of analytics needs with relevant workflows stored in repository. The engine relies on meta-predictive modeling of traffic-analysis workflow-characteristics. In this paper, we present a feasibility study of applying this collaborative analytics system to predict traffic congestion. Different ways to build predictive models from traffic dataset are pooled as shared workflows. We demonstrate that through dynamic recommendation of workflows that are suitable for the real-time varying traffic data, a reliable congestion prediction can be achieved. The promising results showcase that systematic collaboration among data scientists made possible by our system can be a powerful tool to produce very accurate prediction from data.

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Cited By

Aye TLee GSu YZhang TLee CKasim HHoe ILee FHung T(2017)Layman Analytics System: A Cloud-Enabled System for Data Analytics Workflow RecommendationIEEE Transactions on Automation Science and Engineering10.1109/TASE.2016.261052114:1(160-170)Online publication date: Jan-2017
https://doi.org/10.1109/TASE.2016.2610521
Hellmann DMaitland CTapia AGergle DMorris MBjørn PKonstan J(2016)Collaborative Analytics and Brokering in Digital Humanitarian ResponseProceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing10.1145/2818048.2820067(1284-1294)Online publication date: 27-Feb-2016
https://dl.acm.org/doi/10.1145/2818048.2820067
Lee JLee DHatoyama K(2016)Integrated expression method for technical mapping of traffic parameters using RGB color modelJournal of Advanced Transportation10.1002/atr.138850:6(1034-1045)Online publication date: 6-Oct-2016
https://doi.org/10.1002/atr.1388
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Collaborative analytics for predicting expressway-traffic congestion

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Published In

cover image ACM Other conferences

ICEC '12: Proceedings of the 14th Annual International Conference on Electronic Commerce

August 2012

357 pages

ISBN:9781450311977

DOI:10.1145/2346536

General Chair:
Robert J. Kauffman
Singapore Management University
,
Program Chairs:
Martin Bichler
Technischen Universität München, Germany
,
Hoong Chuin Lau
Singapore Management University
,
Yinping Yang
Institute of High Performance Computing, A*STAR Singapore
,
Christopher Yang
Drexel University

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Singapore Management University: Singapore Management University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 August 2012

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ICEC '12

Sponsor:

Singapore Management University

ICEC '12: Fourteenth International Conference on Electronic Commerce

August 7 - 8, 2012

Singapore, Singapore

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Overall Acceptance Rate 150 of 244 submissions, 61%

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Cited By

Aye TLee GSu YZhang TLee CKasim HHoe ILee FHung T(2017)Layman Analytics System: A Cloud-Enabled System for Data Analytics Workflow RecommendationIEEE Transactions on Automation Science and Engineering10.1109/TASE.2016.261052114:1(160-170)Online publication date: Jan-2017
https://doi.org/10.1109/TASE.2016.2610521
Hellmann DMaitland CTapia AGergle DMorris MBjørn PKonstan J(2016)Collaborative Analytics and Brokering in Digital Humanitarian ResponseProceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing10.1145/2818048.2820067(1284-1294)Online publication date: 27-Feb-2016
https://dl.acm.org/doi/10.1145/2818048.2820067
Lee JLee DHatoyama K(2016)Integrated expression method for technical mapping of traffic parameters using RGB color modelJournal of Advanced Transportation10.1002/atr.138850:6(1034-1045)Online publication date: 6-Oct-2016
https://doi.org/10.1002/atr.1388
Rhinelander JKallada MLingras P(2015)Visual Predictions of Traffic ConditionsAdvances in Artificial Intelligence10.1007/978-3-319-18356-5_11(122-129)Online publication date: 29-Apr-2015
https://doi.org/10.1007/978-3-319-18356-5_11
Kinai ABryant RWalcott-Bryant AMibuari EWeldemariam KStewart OCatarci TAbadi AWasserman A(2014)Twende-twende: a mobile application for traffic congestion awareness and routingProceedings of the 1st International Conference on Mobile Software Engineering and Systems10.1145/2593902.2593926(93-98)Online publication date: 2-Jun-2014
https://dl.acm.org/doi/10.1145/2593902.2593926
Chong CZhang TLee KHung GTerence Lee B(2013)Collaborative Analytics with Genetic Programming for Workflow RecommendationProceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics10.1109/SMC.2013.117(657-662)Online publication date: 13-Oct-2013
https://dl.acm.org/doi/10.1109/SMC.2013.117
Yang Xia Chonho Lee Zoebir Bong Changbing Chen Bu Sung Lee (2013)A scalable framework for cloud powered workflow execution2013 IEEE Globecom Workshops (GC Wkshps)10.1109/GLOCOMW.2013.6825030(458-463)Online publication date: Dec-2013
https://doi.org/10.1109/GLOCOMW.2013.6825030
Lee BChaisiri SSessomboon PBong ZAchalakul TLee CSaisillapee T(2012)Workflow framework to support data analytics in cloud computingProceedings of the 2012 IEEE 4th International Conference on Cloud Computing Technology and Science (CloudCom)10.1109/CloudCom.2012.6427489(610-613)Online publication date: 3-Dec-2012
https://dl.acm.org/doi/10.1109/CloudCom.2012.6427489

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