Artificial Intelligence (AI) for Intelligence Transportation Systems (ITS) Challenges and Potential Solutions, Insights, and Lessons Learned

Vasudevan, Meenakshy; Townsend, Haley; Samach, Matt; Walsh, Patrick T.; Wang, Peiwei; Seshadri, Anand; McManus, Ian; Noblis, Inc.

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Artificial Intelligence (AI) for Intelligence Transportation Systems (ITS) Challenges and Potential Solutions, Insights, and Lessons Learned

2022-10-01
By Vasudevan, Meenakshy ; Townsend, Haley ; Samach, Matt ; ...

[PDF-1.97 MB]

English

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Creators:

Vasudevan, Meenakshy ; Townsend, Haley ; Samach, Matt ; Walsh, Patrick T. ; Wang, Peiwei ; ... More +

Vasudevan, Meenakshy ; Townsend, Haley ; Samach, Matt ; Walsh, Patrick T. ; Wang, Peiwei ; Seshadri, Anand ; McManus, Ian Less -
Corporate Creators:

Noblis, Inc.
Corporate Contributors:

United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office ; United States. Department of Transportation. Federal Highway Administration

United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office ; United States. Department of Transportation. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Artificial Intelligence Bias (Statistics) Data Privacy Detection And Identification Technologies Ethics Generalization Lessons Learned Liability Machine Learning Model Drift State Of The Practice
Publication/ Report Number:

FHWA-JPO-22-968
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final
Contracting Officer:

Sheehan, Robert; Walker, Jonathan
Corporate Publisher:

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

Artificial Intelligence (AI), including Machine Learning (ML), offers the opportunity to make transportation systems safer, and more equitable, reliable, accessible, secure, efficient, and resilient. However, several challenges exist that could impede the successful adoption of AI for Intelligent Transportation Systems (ITS) and the potential realization of these benefits.
Format:

PDF
Collection(s):

Federal Highway Administration ITSJPO Digital Library
Main Document Checksum:

[+]

urn:sha256:f76506d5ff84ff1290ec6b386141dc85393a57a892f1a6d89cd44e338a96b5ef
Download URL:

https://rosap.ntl.bts.gov/view/dot/66971/dot_66971_DS1.pdf
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No Additional Files

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Artificial Intelligence (AI) for Intelligence Transportation Systems (ITS) Challenges and Potential Solutions, Insights, and Lessons Learned

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