Artificial Intelligence (AI)-Enabled Intelligent Transportation Systems (ITS) Capability Maturity Model (CMM) and Readiness Checklists

Freeman, Brandon; Hadi, Mohammed; Hale, David; Leidos, Inc.

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

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Artificial Intelligence (AI)-Enabled Intelligent Transportation Systems (ITS) Capability Maturity Model (CMM) and Readiness Checklists

2024-05-01
By Freeman, Brandon ; Hadi, Mohammed ; Hale, David

English

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Details:

Creators:

Freeman, Brandon ; Hadi, Mohammed ; Hale, David

Freeman, Brandon ; Hadi, Mohammed ; Hale, David Less -
Corporate Creators:

Leidos, Inc.
Corporate Contributors:

United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
Subject/TRT Terms:

[+]

Artificial Intelligence Capability Maturity Framework Capability Maturity Model Implementation Intelligent Transportation Systems Machine Learning Technology Transportation Planning
Publication/ Report Number:

FHWA-JPO-24-136
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report (Jan 2023 – May 2024)
Contracting Officer:

Omay, Murat
Corporate Publisher:

United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
Abstract:

The United States Department of Transportation (USDOT) recognizes that artificial intelligence (AI) offers benefits in intelligent transportation systems (ITS), such as improving safety, mobility, equity, efficiency, accessibility, productivity, resilience. Several industries use capability maturity models (CMM) to objectively assess an organization’s processes and ability to execute activities in the scope of the CMM topic area. This document provides an AI-enabled ITS CMM as an approach for organizations to self-assess their strengths and weaknesses for incorporating and mainstreaming AI into their ITS programs and operational processes. The AI-enabled ITS CMM fills a gap for transportation professionals by providing a more rigorous assessment (via comprehensive readiness checklists) compared to existing AI CMMs developed by commercial technology companies. Importantly, stakeholders helped to define capability maturity levels within the AI-enabled ITS CMM, which helped to inform the resulting readiness checklist items developed by the research team. Specifically, stakeholders noted the importance of a Level 2 (out of 4) maturity to denote organizations that have made the proper steps to achieve AI-enabled ITS readiness but have not yet deployed AI-enabled ITS solutions. Stakeholders recommended explicit recognition of a level zero maturity, because a large proportion of organizations have no awareness or capability within certain AI dimensions or subdimensions at this time of this writing.
Format:

PDF
Funding:

693JJ322F00456N
Collection(s):

ITSJPO Digital Library
Main Document Checksum:

[+]

urn:sha-512:d7852d9a096cb5a6c6096b07a0ad55e4daed6bdd3c891f78d9a4e5cdcb1727a6486d84ffa405c4afa41db3796906b5e884ffe92d13c974e460a372232e77d1ef
Download URL:

https://rosap.ntl.bts.gov/view/dot/78879/dot_78879_DS1.pdf
File Type:

[PDF-1.52 MB]