Exploring the Use of Artificial Intelligence to Leverage TxDOT Data for Enhanced Corridor Management and Operations [Project Summary]

Juri, Natalia Ruiz; Perrine, Ken; Boyles, Stephen; Chin, Kristie; Gold, Andrea; Alexander, William; Avera, Morgan; Nair, Gopindra S; Robbennolt, Jake; University of Texas at Austin. Center for Transportation Research

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Exploring the Use of Artificial Intelligence to Leverage TxDOT Data for Enhanced Corridor Management and Operations [Project Summary]

2023-10-31
By Juri, Natalia Ruiz ; Perrine, Ken ; Boyles, Stephen ; ...

[PDF-272.31 KB]

English

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Details:

Creators:

Juri, Natalia Ruiz ; Perrine, Ken ; Boyles, Stephen ; Chin, Kristie ; Gold, Andrea ; ... More +

Juri, Natalia Ruiz ; Perrine, Ken ; Boyles, Stephen ; Chin, Kristie ; Gold, Andrea ; Alexander, William ; Avera, Morgan ; Nair, Gopindra S ; Robbennolt, Jake Less -
Corporate Creators:

University of Texas at Austin. Center for Transportation Research
Corporate Contributors:

Texas. Dept. of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration

Texas. Dept. of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Artificial Intelligence Connected Vehicles Data Management Information Processing Innovation Literature Reviews Safety Travel Time
Publication/ Report Number:

0-7034
Resource Type:

Brief
Geographical Coverage:

Texas ; United States

Texas ; United States Less -
Edition:

Project Summary Report
Corporate Publisher:

University of Texas at Austin. Center for Transportation Research
Abstract:

This project explored the use and value of AI and ML in transportation taking a multi-pronged approach that includes a literature review, a workshop, a survey, the development of three prototype ML models for four high-priority use cases, and the field testing of one of the prototyped models. Initial tasks were exploratory in nature and led to a better understanding of the current and prospective uses of ML in transportation, corresponding data needs, and specific use cases of interest to TxDOT.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:50720eb68363d90e83d254ea459fffb689eff0e39f821a29edb58b7b5d9dcddd
Download URL:

https://rosap.ntl.bts.gov/view/dot/73573/dot_73573_DS1.pdf
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No Additional Files

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Exploring the Use of Artificial Intelligence to Leverage TxDOT Data for Enhanced Corridor Management and Operations [Project Summary]

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