Data stream processing infrastructure for intelligent transport systems

Eric Bouillet; Mark Feblowitz; Zhen Liu; Anand Ranganathan; Anton Riabov; Fan Ye; Schuman Shao; Don Schlosnagle

doi:10.1109/VETECF.2007.303

Data stream processing infrastructure for intelligent transport systems

Eric Bouillet
, Mark Feblowitz
, Zhen Liu
, Anand Ranganathan
, Anton Riabov
, Fan Ye
, Schuman Shao
, Don Schlosnagle

Electrical Engineering

IBM

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

Intelligence Transportation Systems are critical to improve the efficiency of modern transportation. A system that is flexible and powerful enough to handle diverse demands from a large user base, is still elusive. Studies have shown that developing and integrating the various components constitute a significant portion of the capital cost and complexity of such systems. In this paper, we present a stream processing infrastructure we call System S. System S enables the deployment of large scale applications. It supports a mechanism for sharing data sources, software components, and even intermediate results allowing a reduction in the cost of software integration, and ownership. We experiment the stream processing infrastructure with a Fleet Management Center, and demonstrate how the infrastructure can be used to address unique issues in traffic management.

Original language	English
Title of host publication	2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall
Pages	1421-1425
Number of pages	5
DOIs	https://doi.org/10.1109/VETECF.2007.303
State	Published - 2007
Event	2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall - Baltimore, MD, United States Duration: Sep 30 2007 → Oct 3 2007

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Conference

Conference	2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall
Country/Territory	United States
City	Baltimore, MD
Period	09/30/07 → 10/3/07

Access to Document

10.1109/VETECF.2007.303

Cite this

@inproceedings{b31ce89a5dc94d29960f0768bb8fcfeb,

title = "Data stream processing infrastructure for intelligent transport systems",

abstract = "Intelligence Transportation Systems are critical to improve the efficiency of modern transportation. A system that is flexible and powerful enough to handle diverse demands from a large user base, is still elusive. Studies have shown that developing and integrating the various components constitute a significant portion of the capital cost and complexity of such systems. In this paper, we present a stream processing infrastructure we call System S. System S enables the deployment of large scale applications. It supports a mechanism for sharing data sources, software components, and even intermediate results allowing a reduction in the cost of software integration, and ownership. We experiment the stream processing infrastructure with a Fleet Management Center, and demonstrate how the infrastructure can be used to address unique issues in traffic management.",

author = "Eric Bouillet and Mark Feblowitz and Zhen Liu and Anand Ranganathan and Anton Riabov and Fan Ye and Schuman Shao and Don Schlosnagle",

year = "2007",

doi = "10.1109/VETECF.2007.303",

language = "English",

isbn = "1424402646",

series = "IEEE Vehicular Technology Conference",

pages = "1421--1425",

booktitle = "2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall",

note = "2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall ; Conference date: 30-09-2007 Through 03-10-2007",

}

Bouillet, E, Feblowitz, M, Liu, Z, Ranganathan, A, Riabov, A, Ye, F, Shao, S & Schlosnagle, D 2007, Data stream processing infrastructure for intelligent transport systems. in 2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall., 4349952, IEEE Vehicular Technology Conference, pp. 1421-1425, 2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall, Baltimore, MD, United States, 09/30/07. https://doi.org/10.1109/VETECF.2007.303

TY - GEN

T1 - Data stream processing infrastructure for intelligent transport systems

AU - Bouillet, Eric

AU - Feblowitz, Mark

AU - Liu, Zhen

AU - Ranganathan, Anand

AU - Riabov, Anton

AU - Ye, Fan

AU - Shao, Schuman

AU - Schlosnagle, Don

PY - 2007

Y1 - 2007

N2 - Intelligence Transportation Systems are critical to improve the efficiency of modern transportation. A system that is flexible and powerful enough to handle diverse demands from a large user base, is still elusive. Studies have shown that developing and integrating the various components constitute a significant portion of the capital cost and complexity of such systems. In this paper, we present a stream processing infrastructure we call System S. System S enables the deployment of large scale applications. It supports a mechanism for sharing data sources, software components, and even intermediate results allowing a reduction in the cost of software integration, and ownership. We experiment the stream processing infrastructure with a Fleet Management Center, and demonstrate how the infrastructure can be used to address unique issues in traffic management.

AB - Intelligence Transportation Systems are critical to improve the efficiency of modern transportation. A system that is flexible and powerful enough to handle diverse demands from a large user base, is still elusive. Studies have shown that developing and integrating the various components constitute a significant portion of the capital cost and complexity of such systems. In this paper, we present a stream processing infrastructure we call System S. System S enables the deployment of large scale applications. It supports a mechanism for sharing data sources, software components, and even intermediate results allowing a reduction in the cost of software integration, and ownership. We experiment the stream processing infrastructure with a Fleet Management Center, and demonstrate how the infrastructure can be used to address unique issues in traffic management.

UR - https://www.scopus.com/pages/publications/47649088430

U2 - 10.1109/VETECF.2007.303

DO - 10.1109/VETECF.2007.303

M3 - Conference contribution

AN - SCOPUS:47649088430

SN - 1424402646

SN - 9781424402649

T3 - IEEE Vehicular Technology Conference

SP - 1421

EP - 1425

BT - 2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall

T2 - 2007 IEEE 66th Vehicular Technology Conference, VTC 2007-Fall

Y2 - 30 September 2007 through 3 October 2007

ER -

Data stream processing infrastructure for intelligent transport systems

Abstract

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Conference

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