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Scalable Activity-Travel Pattern Monitoring Framework for Large-Scale City Environment
April 2012 (vol. 11 no. 4)
pp. 644-662
ASCII Text
x 
 
Youngki Lee, SangJeong Lee, Byoungjip Kim, Jungwoo Kim, Yunseok Rhee, Junehwa Song, "Scalable Activity-Travel Pattern Monitoring Framework for Large-Scale City Environment," IEEE Transactions on Mobile Computing, vol. 11, no. 4, pp. 644-662, April, 2012.
 
 
BibTex
x
 
@article{ 10.1109/TMC.2011.113,
author = {Youngki Lee and SangJeong Lee and Byoungjip Kim and Jungwoo Kim and Yunseok Rhee and Junehwa Song},
title = {Scalable Activity-Travel Pattern Monitoring Framework for Large-Scale City Environment},
journal ={IEEE Transactions on Mobile Computing},
volume = {11},
number = {4},
issn = {1536-1233},
year = {2012},
pages = {644-662},
doi = {http://doi.ieeecomputersociety.org/10.1109/TMC.2011.113},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Mobile Computing
TI - Scalable Activity-Travel Pattern Monitoring Framework for Large-Scale City Environment
IS - 4
SN - 1536-1233
SP644
EP662
EPD - 644-662
A1 - Youngki Lee,
A1 - SangJeong Lee,
A1 - Byoungjip Kim,
A1 - Jungwoo Kim,
A1 - Yunseok Rhee,
A1 - Junehwa Song,
PY - 2012
KW - Activity-travel pattern (ATP)
KW - monitoring
KW - location data processing
KW - scalable architecture
KW - large-scale
KW - city.
VL - 11
JA - IEEE Transactions on Mobile Computing
ER -
 
Youngki Lee, KAIST, Daejeon
SangJeong Lee, KAIST, Daejeon
Byoungjip Kim, KAIST, Daejeon
Jungwoo Kim, KAIST, Daejeon
Yunseok Rhee, Hankuk University of Foreign Studies, Yongin
Junehwa Song, KAIST, Daejeon
In this paper, we introduce Activity Travel Pattern (ATP) monitoring in a large-scale city environment. ATP represents where city residents and vehicles stay and how they travel around in a complex megacity. Monitoring ATP will incubate new types of value-added services such as predictive mobile advertisement, demand forecasting for urban stores, and adaptive transportation scheduling. To enable ATP monitoring, we develop ActraMon, a high-performanceATP monitoring framework. As a first step, ActraMon provides a simple but effective computational model of ATP and a declarative query language facilitating effective specification of various ATP monitoring queries. More important, ActraMon employs the shared staging architecture and highly efficient processing techniques, which address the scalability challenges caused by massive location updates, a number of ATP monitoring queries and processing complexity of ATP monitoring. Finally, we demonstrate the extensive performance study of ActraMon using realistic city-wide ATP workloads.

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Index Terms:
Activity-travel pattern (ATP), monitoring, location data processing, scalable architecture, large-scale, city.
Citation:
Youngki Lee, SangJeong Lee, Byoungjip Kim, Jungwoo Kim, Yunseok Rhee, Junehwa Song, "Scalable Activity-Travel Pattern Monitoring Framework for Large-Scale City Environment," IEEE Transactions on Mobile Computing, vol. 11, no. 4, pp. 644-662, April 2012, doi:10.1109/TMC.2011.113
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