Privacy-Aware Traffic Monitoring

Traffic-monitoring systems (TMSs) are vital for safety and traffic optimization. However, these systems may compromise the privacy of drivers once they track the position of each driver with a high degree of temporal precision. In this paper, we argue that aggregated data can protect location privac...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems Vol. 11; no. 1; pp. 61 - 70
Main Authors: Hairuo Xie, Kulik, L., Tanin, E.
Format: Journal Article
Language:English
Published: Piscataway, NJ IEEE 01.03.2010
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Aggregates
Applied sciences
Computer science; control theory; systems
Data processing. List processing. Character string processing
Data structures
Drivers
Exact sciences and technology
Ground, air and sea transportation, marine construction
Histograms
Information systems. Data bases
Intrusion detection
Memory and file management (including protection and security)
Memory organisation. Data processing
Monitoring
Position (location)
Privacy
Protection
Query processing
road transportation
road vehicle identification
road vehicle location monitoring
Road vehicles
Safety
Software
spatial data structures
Telecommunication traffic
Traffic engineering
Traffic flow
Private life
Data privacy
Spatial data structures
Motor car
Database query
Road vehicle
High precision
Data processing
road vehicle location monitoring
Optimization
Aggregation
Range query
Road transportation
Privacy
Vehicle identification
Traffic management
Traffic safety
road vehicle identification
Localization
Monitoring
ISSN:1524-9050, 1558-0016
Online Access:Get full text
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Description
Summary:Traffic-monitoring systems (TMSs) are vital for safety and traffic optimization. However, these systems may compromise the privacy of drivers once they track the position of each driver with a high degree of temporal precision. In this paper, we argue that aggregated data can protect location privacy while providing accurate information for traffic monitoring. We identify a range of aggregate query types. Our proposed privacy-aware monitoring system (PAMS) works as an aggregate query processor that protects the location privacy of drivers as it anonymizes the IDs of cars. Our experiments show that PAMS answers queries with high accuracy and efficiency.
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ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2009.2028872