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Lectern Session 1514

Innovations in Data Collection, Analysis, and Fusion to Address Persistent Freight Data Gaps

Tuesday, January 14, 2020      1:30 PM- 3:15 PM
Convention Center, 144A
Stephanie Finch, Port Authority of New York and New Jersey
Sponsored by:
Standing Committee on Freight Transportation Data (Changed to AED70 on 4/15/2020) (ABJ90)

This session will highlight recent research in data science and data fusion applications to capture freight data elements that have consistently been challenging to measure. Presentations will address new or improved methods to estimate truck empty and loaded trips, truck stop by purpose, and disaggregate multi-modal commodity flows. 

No agenda available

Title Presentation Number
Multi-Commodity Port Throughput from Truck GPS and Lock Performance Data Fusion
Magdalena Asborno, U.S. Army Corps of Engineers (USACE)
Sarah Hernandez, University of Arkansas, Fayetteville
Taslima Akter, CPCS Transcom
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Empty Platform Semi-Trailer Classification Using Side-Fire LiDAR Data for Supporting Freight Analysis and Planning
Olcay Sahin, Argonne National Laboratory
Mecit Cetin, Old Dominion University
Ilyas Ustun, DePaul University
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Imputation of Truck Rest Stop Events from GPS Data with a Continuous Hidden Markov Model
Mehdi Taghavi, University of Queensland
Elnaz Irannezhad, Australian Road Research Board (ARRB)
Carlo Prato, University of Queensland
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Identifying Freight Delivery Stops from GPS Data
Jose Holguin-Veras, Rensselaer Polytechnic Institute (RPI)
Trilce Encarnacion, University of Missouri, St. Louis
Sofia Perez-Guzman, Rensselaer Polytechnic Institute (RPI)
Xia Yang, State University of New York (SUNY)
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