• TRB 100th Annual Meeting - A Virtual Event

      January 24–28, 2021

    • Online Program

2021

Annual Meeting Event Detail




Poster Session 1412

1412 - Innovative Research on Freight Data Methods and Applications

Thursday, January 28 4:00 PM- 5:30 PM ET
Poster
Stephanie Finch, Port Authority of New York and New Jersey
Sponsored by:
Standing Committee on Freight Transportation Data (AED70)

This session will highlight innovative data sources, methods, and applications for freight planning and operations.



No agenda available

Title Presentation Number
Specified Highway Freight Estimation Based on Multi-Source Data Fusion
Peng Zhang, Ministry of Transport of the People’s Republic of China
Enze Huo (543188175@qq.com), Beihang University
Fangshu Lei, Beijing Transport Institute
Yingping Wang, Ministry of Transport of the People’s Republic of China
Mingchen Gu, Ministere des Transports du Quebec
Xiaolei Ma, Beihang University
Show Abstract
TRBAM-21-00030
Truck Parking Occupancy Prediction: End-to-End Machine Learning Framework
Sebastian Gutmann (basti.gutmann@gmail.com), Technical University of Munich
Christoph Maget, Bavarian Road Administration
Klaus Bogenberger, Technische Universitat Munchen
Show Abstract
TRBAM-21-00374
Suitability of Fusing Vehicle Probe Data and Vessel Data to Contextualize the Multimodal Interaction Impacts on Corridor Mobility – a New Orleans Case Study
Bethany Stich, University of New Orleans
Kirk Zeringue, Louisiana Department of Transportation and Development
Guang Tian, University of New Orleans
Show Abstract
TRBAM-21-00918
Study on the Establishment of Integrated Database on Livestock-Related Vehicles to Prevent the Spread of Livestock Infectious Disease
Heehyeon Jeong, University of Seoul
Jungyeol Hong (jyhongsun@gmail.com), University of Seoul
Dongjoo Park, University of Seoul
Show Abstract
TRBAM-21-01734
STATEWIDE ANALYSIS OF TRUCK GPS DATA TO UNDERSTAND TRUCK 1 PARKING UTILIZATION
Makarand Gawade, HDR
Arjun Chauhan, HDR
Show Abstract
TRBAM-21-02888
Using machine learning to predict freight vehicles demand for loading zones in urban environments
Andres Regal Ludowieg, Universidad del Pacífico
Ivan Sanchez-Diaz, Chalmers tekniska hogskola
Lokesh Kalahasthi, Chalmers tekniska hogskola
Show Abstract
TRBAM-21-03062
A Deep Ensemble Neural Network Approach for FHWA Axle-based Vehicle Classification using Advanced Single Inductive Loops
Yiqiao Li (yiqial1@uci.edu), University of California, Irvine
Andre Tok, University of California, Irvine
Stephen Ritchie, University of California, Irvine
Show Abstract
TRBAM-21-03975
Truck Parking Pattern Aggregation and Real-time Availability Prediction by Multi-task Learning
Hao Yang, University of Washington
Chenxi Liu, University of Washington
Yifan Zhuang, University of Washington
Wei Sun, University of Washington
Yinhai Wang (yinhai@uw.edu), University of Washington
Show Abstract
TRBAM-21-04040
Modelling Long-Haul Truck Route Choice in Ontario
Syed Ubaid Ali, York University
Kevin Gingerich (kging@yorku.ca), York University
Show Abstract
TRBAM-21-04163
Incremental System for Identifying Prime Routes in Logistics Transportation Services
Ajay Hayagreeve, FourKites India Private Limited
Jayakarthick Sathyanarayanan, FourKites India Private Limited
Vinodh Krishnaraju, FourKites India Private Limited
Show Abstract
TRBAM-21-04389

DISCLAIMER: All information shared in the TRB Annual Meeting Online Program is subject to change without notice. Changes, if necessary, will be updated in the Online Program and this page is the final authority on schedule information.