Detecting heavy trucks from mobile phone trajectories using image-based behavioral representations and deep learning models

This paper proposes an innovative methodology for detecting heavy trucks utilizing mobile phone data, addressing significant limitations inherent in traditional tracking methods, often characterized by high costs, intrusiveness, and incomplete data capture. By employing Call Detail Records (CDR) and