Distributed Real-Time Traffic Data Management

As ITS technology evolves, very large volume of traffic data can be obtained in real-time. Traffic data are continuously produced and they can be considered as a kind of stream data. Currently, such traffic data are not maintained permanently because of the storage limitations of operational systems...

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Hauptverfasser: Joonwoo Lee, Jaeil Hwang, Dong-Hoon Shin, Yunmook Nah, Hae-Young Bae, Doo-Hyun Kim
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Jaeil Hwang
Dong-Hoon Shin
Yunmook Nah
Hae-Young Bae
Doo-Hyun Kim
description As ITS technology evolves, very large volume of traffic data can be obtained in real-time. Traffic data are continuously produced and they can be considered as a kind of stream data. Currently, such traffic data are not maintained permanently because of the storage limitations of operational systems. Therefore, it was impossible to compare temporal historical patterns over long time periods. In this paper, we propose a traffic data management scheme, which can handle historical data as well as current data. The proposed scheme is based on the GALIS architecture, which is a cluster-based distributed computing system architecture that consists of multiple data processors, each dedicated to keeping records relevant to a different geographical zone and a different time zone. Some experimental results showing performance factors are also explained.
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ispartof 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC), 2008, p.478-484
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language eng
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subjects Add-drop multiplexers
Computer architecture
Distributed computing
distributed data management
Distributed databases
GALIS
Management information systems
Prototypes
Query processing
Research and development management
Technology management
TMO
Traffic control
traffic data
title Distributed Real-Time Traffic Data Management
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