Truck Rest Stop Imputation From GPS Data: An Interpretable Activity-Based Continuous Hidden Markov Model

The increasing wealth of truck global positioning system (GPS) data has broadened the opportunities for understanding freight logistics activities and enhancing research capabilities to real-world case studies. A very important piece of information from the planning and regulatory perspective concer...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Mehdi Taghavi, Elnaz Irannezhad, Carlo G. Prato
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	GPS truck data mining trip segmentation stop identification Continuous Hidden Markov Model freight transportation
Online Access:	https://ieeexplore.ieee.org/document/10364749/