Privacy-Aware Traffic Monitoring
- Resource Type
- Periodical
- Authors
- Xie, H.; Kulik, L.; Tanin, E.
- Source
- IEEE Transactions on Intelligent Transportation Systems IEEE Trans. Intell. Transport. Syst. Intelligent Transportation Systems, IEEE Transactions on. 11(1):61-70 Mar, 2010
- Subject
- Transportation
Aerospace
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Monitoring
Aggregates
Privacy
Protection
Intrusion detection
Road vehicles
Data structures
Telecommunication traffic
Histograms
Safety
road transportation
road vehicle identification
road vehicle location monitoring
spatial data structures
- Language
- ISSN
- 1524-9050
1558-0016
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.