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CARMA Platform Version 3.4.0 [supporting software]

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  • Corporate Creators:
    United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology
  • Contributors:
    Baird, John
  • Corporate Contributors:
    United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center
  • Subject/TRT Terms:
  • Resource Type:
    Software
  • Right Statement:
    Public Domain
  • Geographical Coverage:
    United States
  • Edition:
    Version 3.4.0
  • Corporate Publisher:
    United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology
  • Abstract:
    The Federal Highway Administration (FHWA) developed the innovative CARMASM Platform to encourage collaboration with the goal of improving transportation efficiency and safety. FHWA's interest in advancing Transportation Systems Management and Operations (TSMO) strategies with automated driving technology is focused on how infrastructure can move traffic more efficiently. CARMA enables Automated Driving Systems (ADS) to navigate more safely and efficiently with other vehicles and roadway infrastructure though communication and cooperation. CARMA was designed using open source software (OSS) and is available on GitHub. The unique platform was created to work collaboratively with any vehicle, hardware, or control system. By simplifying software development and providing access to increased functionality and a community of developers, CARMA enables the research and development (R&D) of cooperative automated driving system (CADS) capabilities to support TSMO. CARMA also will develop a concept of operations for new TSMO strategies, such as identifying Traffic Incident Management (TIM) scenarios that provide new strategies for first responder use cases interacting with ADS. This research will accelerate market readiness and the deployment of cooperative automated driving technology, while advancing safety, security, data, and artificial intelligence. Beyond reducing traffic congestion and improving transportation safety, CARMA will support industry collaboration and expand on existing automation capabilities to reduce R&D time and advance cooperative automated driving technology. CARMA promotes collaboration and participation from communities of engineers and researchers to advance the understanding of cooperative automated driving using OSS and agile project management practices.

    carma-platform release version 3.4.0 is comprised of four major enhancements. First, a steering limiter was added in order to prevent Carma from taking turns that present a risk of vehicle rollover. Second, updates were made to the health_monitor to allow for graceful handling of sensor failure, including control handover to the human driver. Third, carma-messenger was updated to detect nearby automated vehicles via DSRC. And fourth, functionality was added to carma-messenger to allow for requesting, receiving, and displaying truck safety info from a passing Carma truck via DSRC while vehicles are in motion. Along with the above enhancements, several bug fixes and CI related enhancements are included in this release.

  • Content Notes:
    CARMA is licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

    National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2026-02-12. If, in the future, you have trouble accessing this dataset, please submit your question at https://transportation.libanswers.com. NTL staff will do its best to assist you at that time.

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