- Lead Developer: Tim Fraser, PhD
<tmf77@cornell.edu> - Contributors: Erin Murphy, Junna Chen, Mahak Bindal, Shungo Najima, Carl Closs
- Institution: Gao Labs @ Cornell University
- Description: A Docker-based solution to run MOVES anywhere - on Windows, Mac, or Linux
Welcome to moves_anywhere! This software suite includes several tools to help you run the Environmental Protection Agency's [MO]{.underline}tor [V]{.underline}ehicle [E]{.underline}missions [S]{.underline}imulator (MOVES) more easily. Developed by Tim Fraser and colleagues at Gao Labs at Cornell University, moves_anywhere aims to solve several common problems for planners, engineers, and researchers who need to know how many tons of emissions are produced from on-road transportation sources in their county or state. These problems include:
-
Writing
runspec.xmldocuments faster (a recipe for your MOVES run) -
Running MOVES on any OS (Windows, Mac, or Linux), using a Docker container.
-
Running MOVES with custom inputs when you have some (or none) of the required custom input tables, but not all.
-
Post-processing MOVES inventory output data into the more dataviz-friendly "CAT Format", developed for Cornell's Climate Action in Transportation (CAT) team's research.
-
Uploading CAT Formatted Data to a Google Cloud SQL server using a Docker container.
-
And more!
📂 To get started, check out our cheatsheet:
Data processing in MOVES Anywhere is supported by our catr package in R.
Need to install catr?
✅ To install the latest from source:, use the `remotes package.
remotes::install_github("Gao-Labs/moves_anywhere", subdir = "catr")✅ To install a specific version (e.g., 0.2.0):
remotes::install_url("https://github.com/Gao-Labs/moves_anywhere/raw/main/catr/catr_0.2.0.tar.gz")
More exciting developments coming soon!
To cite this package, please tentatively cite:
- Fraser, Timothy & Gao, H. Oliver. (2025). Distributed Cloud Computing for Clean Transportation, Community Health, & Climate Action Anywhere. Cornell University Systems Studio Working Paper.