Freight and Fuel Transportation Optimization Tool
FTOT is a flexible scenario-testing tool that optimizes the transportation of materials for future energy and freight scenarios. FTOT models and tracks commodity-specific information and can take into account conversion of raw materials to products (e.g., crude oil to jet fuel and diesel) and the fulfillment of downstream demand. FTOT was developed at the US Dept. of Transportation's Volpe National Transportation Systems Center.
See the Getting Started section on the FTOT landing page for the latest detailed instructions.
- FTOT is a Python based tool.
- Clone or download the repository.
- Install the required dependencies (including ESRI ArcGIS Pro).
- Download the documentation and scenario dataset.
- Add bugs and feature requests to the Issues tab in the FTOT-Public GitHub repository for the Volpe Development Team to triage.
- Volpe has validated FTOT using existing datasets commonly used by public sector freight professionals. More information on the informal validation effort is available here.
- Dr. Kristin Lewis (Volpe) FTOT-Team@dot.gov
- Olivia Gillham (Volpe)
- Kirby Ledvina (Volpe)
- Mark Mockett (Volpe)
- Alexander Oberg (Volpe)
- Matthew Pearlson (Volpe)
- Tess Perrone (Volpe)
- Kevin Zhang (Volpe)
The development of FTOT that contributed to the original public version was funded by the U.S. Federal Aviation Administration (FAA) Office of Environment and Energy (AEE) and the Department of Defense (DOD) Office of Naval Research through Interagency Agreements (IAA) FA4SCJ and FB48CS-FB48CY under the supervision of FAA’s Nathan Brown and by the U.S. Department of Energy (DOE) Office of Policy under IAA VXS3A2 under the supervision of Zachary Clement. Current development is sponsored through IAAs with FAA AEE under the supervision of FAA's Prem Lobo. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the FAA nor of DOE.
The FTOT team thanks our beta testers and collaborators for valuable input during the FTOT Public Release beta testing, including Dane Camenzind, Kristin Brandt, and Mike Wolcott (Washington State University), Mik Dale (Clemson University), Emily Newes and Ling Tao (National Renewable Energy Laboratory), Seckin Ozkul, Robert Hooker, and George Philippides (Univ. of South Florida), and Chris Ringo (Oregon State University).
This project is licensed under the terms of the FTOT End User License Agreement. Please read it carefully.
