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

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...

Full description

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

Internet

https://ieeexplore.ieee.org/document/10364749/

Similar Items