CARMA Analytics is a secure, scalable and cloud agnostic data architecture to enable research analysis on big data sets by defining repeatable and scalable processes for ingesting data, creation of a data repository to fuse, process and perform quality assurance. The architecture also identifies the tools required for data analysis for the research teams. This architecture addresses the following:
- Data ingest and transfer:
- Data ingested using a direct connection from an on-prem sandbox (ex. Isilon at TFHRC's STOL lab)
- Data ingested from a remote test environment (ex. using AWS snowball when a direct connection is not available)
- Moving or accessing data from other static and real-time sources to support basic test/dev activities
- Data storage and fusion:
- Storing and fusing of dat
- Quality assurance
- Transforming and processing data from disparate static and real-time sources into a format that supports research analysis
- Developer tools and data analytics:
- Provide tools for basic quality assurance and analysis List of currently available tools:
| S.No. | Tool/Application |
|---|---|
| 1 | Python 3.8 |
| 2 | aws cli |
| 3 | Visual Studio Code |
| 4 | Libre Office |
| 5 | RStudio |
| 6 | R |
| 7 | ROS noetic (Robot Operating System) - Only on Windows EC2 VMs |
| 8 | Jupyter Notebook |
| 9 | Sublime Text |
| 10 | Google Chrome |
Terminal Services are installed in the Windows EC2 VMs to allow regular DOT users to RDP to the desktop. Currently, the following AWS roles are supported:
-
Application Admins: This is restricted to devlopers and administrators on the AWS environment. This role has root access to EC2 VMs.
-
Data Scientist: This role is primarily for technical users - researchers/analysts who can RDP into the EC2 VMs and access data stored in S3 buckets or on Redshift databases. However, non-technical users can use this role to access AWS Quicksight service which allows them to access Redshift databases and create visualization dashboards.
Documentation of the setup, operation, and design of the CARMA Analytics can be found on the project Confluence pages.
The current CARMA Analytics development direction and release plans can be found here: CARMA Analytics Roadmap
Welcome to the CARMA contributing guide. Please read this guide to learn about our development process, how to propose pull requests and improvements, and how to build and test your changes to this project. CARMA Contributing Guide
Please read our CARMA Code of Conduct which outlines our expectations for participants within the CARMA community, as well as steps to reporting unacceptable behavior. We are committed to providing a welcoming and inspiring community for all and expect our code of conduct to be honored. Anyone who violates this code of conduct may be banned from the community.
The development team would like to acknowledge the people who have made direct contributions to the design and code in this repository. CARMA Attribution
By contributing to the Federal Highway Administration (FHWA) Connected Automated Research Mobility Applications (CARMA), you agree that your contributions will be licensed under its Apache License 2.0 license. CARMA License
Please click on the link below to visit the Federal Highway Adminstration(FHWA) CARMA website. For more information, contact CAVSupportServices@dot.gov.
For technical support from the CARMA team, please contact the CARMA help desk at CAVSupportServices@dot.gov.