2019 Innovations in Freight Data Workshop

(2019) 2019 Innovations in Freight Data Workshop. Transportation, Department of


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Meeting in Irvine, California, on April 9–10, 2019, 127 freight community members—including transportation professionals from transportation planning agencies, consultants, industry experts, and academic researchers from across North America—participated in thesecond Innovations in Freight Data Workshop. Alison Conway from City College of New York chaired the planning committee for this workshop. The planning committee members were solely responsible for organizing the workshop, preparing the call for abstracts, reviewing the submitted abstracts, and developing topics for panel sessions. Catherine T. Lawson from the University at Albany, State University of New York served as the workshop rapporteur and prepared this document as a factual summary of what occurred at the workshop. In 2017, the first Innovations in Freight Data Workshop highlighted “big data” as a potential new data resource for freight planning, freight operations and mobility, and visualizations for communicating freight issues and solutions for decision-makers. The event brought together traditional freight-planning stakeholders with emerging technology innovators to look for opportunities to interact. Now, 2 years later, the 2019 event built upon these opportunities, bringing the stakeholders with recent experiences with big data for freight—and individuals, organizations, and agencies—to evaluate progress with new data sources and new methods and to discuss next steps to meet existing and future challenges. This workshop report follows the program agenda and includes summaries of the presentations made by each panel member, augmented with audience questions, comments, reflections on advances in data sources and methodologies, and new challenges. Audience participation varied in length and depth based on the interactions among audience members, the panelists, and the moderators. Topics covered in the various panels, interactive posters, and traditional posters included new uses of GPS trace data, new machine-learning techniques, new uses of existing freight data, and a variety of new approaches for collecting and analyzing freight data. A copy of the program with links to the presentations is available at http://onlinepubs.trb.org/onlinepubs/Conferences/2019/FreightData/Program.pdf.

Item Type: Departmental Report
Keywords: Data analysis; Data collection; Freight traffic; Freight transportation; Global Positioning System; Machine learning
Subjects: Transportation
Transportation > Trucking and freight
Transportation > Research
Transportation > Data and Information Technology
ID Code: 48323
Deposited By: Iowa DOT Research
Deposited On: 27 Mar 2024 20:42
Last Modified: 27 Mar 2024 20:42
URI: https://publications.iowa.gov/id/eprint/48323