A scalable distributed stream mining system for highway traffic data

Ying Liu*, Alok Choudhary, Jianhong Zhou, Ashfaq Khokhar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

To achieve the concept of smart roads, intelligent sensors are being placed on the roadways to collect real-time traffic streams. Traditional method is not a real-time response, and incurs high communication and storage costs. Existing distributed stream mining algorithms do not consider the resource limitation on the lightweight devices such as sensors. In this paper, we propose a distributed traffic stream mining system. The central server performs various data mining tasks only in the training and updating stage and sends the interesting patterns to the sensors. The sensors monitor and predict the coming traffic or raise alarms independently by comparing with the patterns observed in the historical streams. The sensors provide real-time response with less wireless communication and small resource requirement, and the computation burden on the central server is reduced. We evaluate our system on the real highway traffic streams in the GCM Transportation Corridor in Chicagoland.

Original languageEnglish (US)
Title of host publicationKnowledge Discovery in Databases
Subtitle of host publicationPKDD 2006 - 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Proceedings
PublisherSpringer Verlag
Pages309-321
Number of pages13
ISBN (Print)3540453741, 9783540453741
DOIs
StatePublished - 2006
Event10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006 - Berlin, Germany
Duration: Sep 18 2006Sep 22 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4213 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006
CountryGermany
CityBerlin
Period9/18/069/22/06

Keywords

  • Data stream
  • Distributed computing
  • Real-time
  • Sensor
  • Traffic

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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