Saxton Transportation Operations Laboratory Web-Based and Open-Source Tools for Connected and Automated Vehicle (CAV) Research and Deployment [fact sheet]

NHTSA · 2026 · ROSA P / United States. Federal Highway Administration. Office of Safety and Operations Research and Development

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Summary

This fact sheet from the Federal Highway Administration’s Saxton Transportation Operations Laboratory (STOL) outlines a suite of web-based, open-source tools designed to support the research, deployment, and education of Connected and Automated Vehicle (CAV) technologies. The document addresses the need for accessible infrastructure-focused resources that optimize traffic flow, improve road user access, and facilitate academic training in transportation technology. By providing these tools, the U.S. Department of Transportation aims to accelerate the market readiness of cooperative driving automation (CDA) technologies and enhance interoperability across agencies and vendors. The paper details eight specific tools and one validation utility, all available via GitHub or web interfaces. CARMA Cloud serves as a cloud-based data service for visualizing road elements and managing traffic strategies, while CARMA Streets facilitates communication between CAVs and infrastructure to test management technologies like stop-controlled intersections. The V2X Hub is open-source software enabling real-time data exchange between vehicles, infrastructure, pedestrians, and the cloud. For data analysis, the CAV Telematics tool provides near real-time tracking and alerts. Educational resources include CAVe-in-a-box, a comprehensive kit for hands-on ITS technician training, and CAVe-Lite, a portable platform for application development and curriculum integration. Additionally, the MAP/RGA Message Creator and TIM Creator tools simplify the generation of SAE standards-compliant messages for road geometry and traveler information, respectively, offering graphical interfaces with approximately 75-cm positional accuracy. An open-source Message Validator tool ensures compliance with SAE J2735 specifications. The findings presented are functional descriptions of these tools rather than empirical results. The document asserts that these resources provide key benefits such as reduced congestion, shorter travel times, and enhanced safety through coordinated traffic flow and hazard information exchange. The message creation tools are noted for their ability to output well-formatted messages in GeoJSON and ASN.1 formats, ready for deployment. The educational tools are highlighted for their ability to condense complex CAV components into accessible learning materials, allowing for cost-effective setup and rapid onboarding of new technicians. The significance of this work lies in its contribution to the standardization and accessibility of CAV infrastructure. By making these tools open-source, the FHWA enables customization and collaboration, supporting the broader integration of automated vehicles into transportation systems. The tools promote interoperability by adhering to SAE International standards, ensuring that connected vehicle applications can function reliably across different platforms. This resource serves as a critical foundation for researchers, educators, and practitioners seeking to validate, deploy, and teach connected vehicle technologies, thereby advancing the overall efficiency and safety of transportation networks.

Key finding

The Saxton Transportation Operations Laboratory provides a comprehensive set of open-source tools and educational kits that facilitate the testing, deployment, and education of connected and automated vehicle technologies.

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StageOutcomeToolModelPromptAttemptsCompleted
discover success rosap 2 2026-05-23
archive success 1 2026-05-23
extract success cached 3 2026-06-10
clean success 1 2026-06-01
chunk success 1 2026-06-01
embed success 1 2026-06-02
enrich success 1 2026-05-23
promote success 1 2026-05-23
summarize success llm qwen3.6-27b-prismaquant summ-v5 88 2026-06-10
tag success vector_similarity 18 2026-06-11
verify success 2 2026-06-10

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

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