MOIR/MT: Monitoring largescale road network traffic in real-time

Liu, Kuien, Deng, Ke, Ding, Zhiming, Li, Mingshu and Zhou, Xiaofang (2009) MOIR/MT: Monitoring largescale road network traffic in real-time. Proceedings of the VLDB Endowment, 2 2: 1538-1541.

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Name Description MIMEType Size Downloads
Author Liu, Kuien
Deng, Ke
Ding, Zhiming
Li, Mingshu
Zhou, Xiaofang
Title MOIR/MT: Monitoring largescale road network traffic in real-time
Journal name Proceedings of the VLDB Endowment   Check publisher's open access policy
ISSN 2150-8097
Publication date 2009
Sub-type Article (original research)
Open Access Status
Volume 2
Issue 2
Start page 1538
End page 1541
Total pages 4
Place of publication New York, NY United States
Publisher ACM (Association for Computing Machinery) Press
Collection year 2010
Language eng
Subject 1701 Psychology
1700 Computer Science
Abstract Floating Car Data (FCD) provides an economic complement to infrastructure-based traffic monitoring systems. Based on our previous MOIR platform [5], we use FCD as the data source for large-scale real-time traffic monitoring. This new function brings a challengeof efficiently handling of streaming data from a very large number of moving objects. Server overload problems can occur when a system fails to process data and queries in real-tme, which can lead to critical issues such as unbounded delay accumulation, lost monitoring accuracy or lack of spontaneity. These problems can be addressed by adopting suitable load dropping decisions. In this work, we demonstrate several load shedding techniques, focusing on decision-making based on data attributes. With the end results being quantified and visualized using real data for a large city, this proof-of-concept system provides a convincing way of validating our ideas.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
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