Vehicle Re-Identification With Several Magnetic Sensors
Vehicle re-identification gives access to two essential data for traffic management: travel times and origin-destination matrices. This paper aims to evaluate the performances of a vehicle re-identification method based on Euclidean distances between vehicle “magnetic signatures” measured with several three-axis magnetic sensors. These performances are compared to the ones achieved by a single sensor and the three-dimensional (3D) Dynamic Time Warping algorithm. Moreover, the effects of a change in the vehicle orientation or in its lateral position are studied. On a data base of signatures from 25 different vehicles, the best results are obtained with the 3D Euclidean distance: 100% of the pairs of signatures are correctly re-identified without any false alarm if the vehicle keeps the same orientation and 90% if the vehicle orientation changes. The influence of the vehicle orientation to the magnetic North on the signature is therefore limited. However, the performances fall when the vehicle lateral position shifts.
Keywordsmagnetic sensor vehicle re-identification traffic management induced magnetization
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