Literature Review Synthesizing the Current and Potential ATMA Applications

Miller, Erika; Young, Chandler · 2023 · ROSA P / Colorado Department of Transportation. Applied Research & Innovations Branch

archive: archived pipeline: cataloged verified

Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)

Summary

This literature review, conducted by Colorado State University researchers for the Colorado Department of Transportation (CDOT), addresses the fragmented state of Autonomous Maintenance Technology (AMT) development. The study was motivated by the observation that while research institutions, DOTs, and manufacturers are actively developing autonomous transportation technologies, these efforts often occur in isolation. The primary objective was to synthesize existing literature and subject matter expert insights to identify DOT operations suitable for AMT applications and summarize global advancements in autonomous maintenance technologies. The review focused on publicly available sources from the past decade, with an emphasis on publications from 2019 onward, resulting in the analysis of 148 references organized into ten key themes. The methodology involved a comprehensive review of academic journals, government reports, media releases, and manufacturer documentation. The findings were categorized into themes including mobile and slow-moving operations, snow operations, pavement repair, smart work zones, connected and autonomous vehicles, traffic incident response, intelligent transportation systems, transit shuttles, unmanned aerial vehicles, and legislative frameworks. Specific attention was given to technologies such as Autonomous Truck Mounted Attenuators (ATMAs), autonomous traffic cone deployment, sweeping, mowing, and debris removal. The review highlighted that ATMAs, which use a leader-follower scheme to shadow work zones, have demonstrated successful safety and performance in pilot programs, such as those by CDOT and Caltrans. Additionally, the study examined autonomous sweepers and mowers, noting deployments in cities like Singapore and Guangzhou, as well as remote-controlled mowers used by DOT contractors to improve efficiency and reduce worker exposure to hazardous conditions. Key findings indicate that autonomous technology in mobile and slow-moving operations, while still preliminary, has successfully targeted truck attenuators, traffic cone placement, sweeping, mowing, pothole repair, and debris removal. Advancements have largely focused on leveraging Intelligent Transportation Systems (ITS), connected vehicles, and data management to create smart work zones, enhance worker safety, and communicate with individual drivers. The review identified that automation of snowplows and road closures represents a near-term deployable solution, particularly in controlled environments like airports. Furthermore, the study found that autonomous sweepers and mowers offer significant benefits in terms of efficiency, cost reduction, and emission decreases, though challenges remain regarding obstacle detection and interaction with vulnerable road users. The significance of this research lies in its consolidation of disparate AMT applications into a centralized resource for DOTs and researchers. By synthesizing current standards of practice and novel technologies, the report provides educational material for agencies seeking to adopt validated technologies like ATMAs and smart work zone ITS. It also identifies emerging technologies, such as autonomous shuttles and connected vehicle communication, that can be leveraged for early adoption to advance the industry. The findings support the potential for AMT to alleviate workforce constraints, improve safety, and reduce operational costs, offering a roadmap for the integration of autonomous technologies into routine transportation maintenance operations.

Key finding

The literature review identifies that autonomous technology is currently being applied to mobile and slow-moving maintenance operations such as truck-mounted attenuators, sweeping, and mowing, with automation of snowplows and smart work zones representing near-term deployable solutions.

Methodology

review

Sample size: 148

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).

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

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• emergency work zone conspicuity
• driverless ads
• ehmi external hmi