Abstract
Monitoring border-crossing vehicles has been one of the focus areas of the Department of Homeland Security since its inception. U.S. has a total of 7,514 land miles of borders with Canada and Mexico, and more than 140 million vehicles enter the U.S. border every year. The vehicles then travel using a part of 4 million miles of available U.S. public roads. Monitoring and tracking such many vehicles is a huge challenge and requires automated non-intrusive computerized technology. This paper proposes a new way of tracking vehicle routes through vehicle sensors that exist in the U.S. transportation infrastructure. In most U.S. highways and local roads, inductive loop detectors (ILDs) are embedded in the pavement to monitor traffic conditions, and the number of installations is constantly increasing. This paper introduces a method that utilizes the inductive signatures of vehicles generated by ILDs for vehicle identification and tracking. Signal processing techniques of inductance signatures and the experimental results on a highway data are presented.
| Original language | English (US) |
|---|---|
| Title of host publication | IMS 2005 - Proceedings of the 2005 IEEE International Workshop on Measurement Systems for Homeland Security, Contraband Detection and Personal Safety |
| Pages | 103-109 |
| Number of pages | 7 |
| DOIs | |
| State | Published - 2005 |
| Event | IMS 2005 - 2005 IEEE International Workshop on Measurement Systems for Homeland Security, Contraband Detection and Personal Safety - Orlando, FL, United States Duration: Mar 29 2005 → Mar 30 2005 |
Publication series
| Name | IMS 2005 - Proceedings of the 2005 IEEE International Workshop on Measurement Systems for Homeland Security, Contraband Detection and Personal Safety |
|---|---|
| Volume | 2005 |
Other
| Other | IMS 2005 - 2005 IEEE International Workshop on Measurement Systems for Homeland Security, Contraband Detection and Personal Safety |
|---|---|
| Country/Territory | United States |
| City | Orlando, FL |
| Period | 3/29/05 → 3/30/05 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Blind deconvolution
- Inductive loop detector
- Vehicle tracking
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