Exploring Autonomous Maintenance Technologies (AMT) in INDOT Road Maintenance Activities: A Feasibility Study

John, Ajuna Puthenpurackal; Zhang, Congjing; Chen, Yunfeng; Feng, Yiheng

doi:10.5703/1288284318709

i

Exploring Autonomous Maintenance Technologies (AMT) in INDOT Road Maintenance Activities: A Feasibility Study

2026-09-16
By John, Ajuna Puthenpurackal ; Zhang, Congjing ; Chen, Yunfeng

File Language:

English

Details

Creators:

John, Ajuna Puthenpurackal ; Zhang, Congjing ; Chen, Yunfeng ; Feng, Yiheng
Corporate Creators:

Purdue University. Joint Transportation Research Program
Corporate Contributors:

Indiana Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA/IN/JTRP-2026/26
DOI:

https://doi.org/10.5703/1288284318709
Resource Type:

Tech Report
Geographical Coverage:

United States ; Indiana
Edition:

Final Report
Corporate Publisher:

Purdue University. Joint Transportation Research Program
Description:

This project conducted a feasibility study of adopting autonomous maintenance technologies (AMTs) for Indiana Department of Transportation (INDOT) road maintenance activities. It surveyed state DOT representatives on AMT adoption, reviewed candidate AMT products and automation levels, and conducted a pre-acceptance survey to INDOT maintenance personnel. The market and technology reviews identified 51 AMTs across eight categories: snowplowing, mowing, crack sealing, pothole patching, traffic-control-device setup and retrieval, sweeping, culvert inspection, and roadway inspection and three automation types: full automation, partial automation, and remote operation. The INDOT survey showed cautious, technology-specific acceptance, with highest near-term potential for traffic control device setup, culvert inspection, and roadway inspection. Autonomous snowplowing had the lowest acceptance rate. The report recommends a phased adoption strategy that prioritizes low-exposure, inspection/data, and human-in-the-loop applications.
Format:

PDF
Funding:

SPR-4921
Download URL:

https://rosap.ntl.bts.gov/view/dot/94138/dot_94138_DS1.pdf
File Type:

[PDF - 2.84 MB]
Collection(s):

Autonomous Vehicles
Main Document Checksum:

urn:sha-512:bc940df89a7f12e1894a5b59978848f7b6630dd3f815d3e808d11dabd13fe23798b4609139cd6c9e7d9b10e76c93e317e372e29348148943fc6b3c6f3e442e71

File Language:

English

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