Abstract
Trucks remain an important link for today's supply chains because the majority of goods in the United States and around the world are delivered to their final destination by trucks. With increasing roadway network congestion, obtaining detailed truck trip data to assist with freight transportation planning and operations is crucial. Recent advances in GPS devices enable various public and private transportation agencies to obtain more precise information about truck travel patterns. The main objective of this study was to develop a methodology for processing raw GPS data and to develop freight performance measures. Two algorithms were proposed to estimate bidirectional link speeds and to analyze truck trips. A case study for the state of Tennessee is presented to evaluate the proposed methodology.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Transportation Research Record: Journal of the Transportation Research Board
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.