Using Unmanned Aerial Systems to Facilitate Traffic Incident Management

Schultz, Grant G.; Hill, Adam W.; Warner, Nathan G. · 2025 · ROSA P / Utah. Dept. of Transportation. Division of Research

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Summary

This report, prepared for the Utah Department of Transportation (UDOT) by researchers from Brigham Young University, addresses the challenge of maintaining situational awareness during traffic incident management in areas with limited or non-existent closed-circuit television (CCTV) coverage. While UDOT’s Incident Management Teams (IMTs) effectively use unmanned aerial systems (UAS) for post-incident photogrammetry and 3D modeling, the agency lacks established protocols for using UAS to provide live video feeds to traffic operations centers. The research aims to synthesize current practices from other state agencies to guide UDOT in implementing UAS livestreaming capabilities, thereby improving real-time response coordination and traffic rerouting decisions. The study employed a qualitative methodology centered on a "State-of-the-Practice" review. Researchers conducted interviews with representatives from ten state Departments of Transportation and one state Department of Public Safety across the United States. These interviews focused on understanding how these agencies integrate UAS livestreams into incident response, including the specific hardware, connectivity solutions, and streaming platforms used. The report also includes a literature review covering UAS history, data quality factors, federal regulations, and privacy concerns, providing a foundational context for the practical findings. Key findings indicate that UAS livestreaming is highly feasible and offers substantial benefits for incident management, though it presents technical and policy challenges. A primary concern identified is the potential ban on DJI-manufactured drones due to national security risks, prompting many agencies to seek alternative hardware. The report highlights the utility of tethered UAS for extended livestreams, noting they are particularly effective for significant incidents despite being less suitable for short-duration events. Connectivity is another critical factor; while cellular internet is common, satellite internet (such as Starlink) is frequently utilized in rural areas to ensure reliable transmission. Furthermore, agencies are moving away from insecure native streaming apps or conference calls, adopting third-party secured streaming platforms like Airdata UAV and DroneSense to protect data integrity and privacy. The significance of this research lies in its actionable recommendations for UDOT and other transportation agencies. The report advises UDOT to transition away from DJI hardware, acquire tethered UAS equipped with satellite internet connections for major incidents, and engage in internal discussions to select appropriate long-term streaming solutions. By consolidating these best practices, the study provides a roadmap for integrating UAS livestreams into traffic incident management, enhancing operational efficiency and safety. The findings also offer broader implications for the field, illustrating how agencies can navigate evolving legislative landscapes and technological options to implement secure, effective aerial surveillance systems.

Key finding

UAS livestreams are a feasible tool for traffic incident management, but successful implementation requires addressing security concerns regarding specific drone manufacturers, utilizing tethered systems for extended coverage, and ensuring reliable internet connectivity through cellular or satellite links.

Methodology

survey

Sample size: 11

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

StageOutcomeToolModelPromptAttemptsCompleted
discover success rosap 2 2026-05-23
archive success 1 2026-05-23
extract success cached 2 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 3 2026-06-10
tag success vector_similarity 24 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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