Bluetooth is a short range communication protocol. Bluetooth-enabled devices can be detected using road-side equipment, and each detected device reports a unique identifier. These unique identifiers can be used to track vehicles through road networks over time. The focus of this paper is on reconstructing the paths of vehicles through a road network using Bluetooth detection data. A method is proposed that uses Hidden Markov Models, which are a well-known tool for statistical pattern recognition. The proposed method is evaluated on a mixture of real and synthetic Bluetooth data with GPS ground truth, and it outperforms a simple deterministic strategy by a large margin (30%-50%) in this case.
Some authors prefer to place their manuscript LaTeX source files in a subfolder, and other research artefacts (figures, tables, etc) in another subfolder. This example shows how this workflow can be maintained on Overleaf, by providing a top-level main.tex that pulls in the real main LaTeX file from the subfolder using the import package.