moves_anywhere

• 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!

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.xml documents 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!

Using this Repository

To get started, check out our guides in the docs folder, including:

• MOVES Anywhere Guide
• Cloud MOVES Guide

Try out our demos in the demos folder! We encourage:

• Setting Up moves_anywhere on your computer
• Installing the catr package
• Use catr to quickly make a custom runspec
• Run moves_anywhere on your local computer with Docker
• View Example Custom Input Tables

For Cornell Research Team users, try:

• Make 1 moves_anywhere run on the cloud with Cloud MOVES

• Make 1 moves_anywhere multi-year scenario on the cloud with Cloud MOVES

Stay Tuned!

More exciting developments coming soon!