Title

Scalable Activity-Travel Pattern Monitoring Framework for Large-scale City Environment

Publication Type

Journal Article

Publication Date

4-2012

Abstract

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-performance ATP 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.

Keywords

Activity-travel pattern (ATP), monitoring, location data processing, scalable architecture, large-scale, city

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

IEEE Transactions on Mobile Computing

Volume

11

Issue

4

First Page

644

Last Page

662

ISSN

1536-1233

Identifier

10.1109/TMC.2011.113

Publisher

IEEE

Additional URL

http://dx.doi.org/10.1109/TMC.2011.113