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A Guide to Using Artificial Intelligence to Enhance Transportation Asset-Management Plans

Year: 2026

Type: article

Source: Transportation Research Record Journal of the Transportation Research Board

DOI: 10.1177/03611981261465428

Authors: Sue McNeil, Adjo Amekudzi-Kennedy, Cristina Torres-Machi, Sultan Al Shafian, Ismail Bukenya, Johnson Obasi Chukwu, Manuel Contreras-Jara, Manuel Cuadra, Binyan Cui, Manisha Kandel, Joseph Nartey Narh, Lina Shehata, Pablo Teixeira, Nii Okai Tetteh, Norovbanzad Tsogt-Ochir

Institutions: UNSW Sydney, University of Delaware, Georgia Institute of Technology, University of Colorado Boulder, Kennesaw State University, University of Kassel, Makerere University, Pontificia Universidad Católica de Chile, Research Center for Integrated Disaster Risk Management, Agencia Nacional de Investigación y Desarrollo, Rutgers, The State University of New Jersey, Northwestern University, Virginia Tech

Language: English

Topic: Infrastructure Maintenance and Monitoring

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funder: Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems, Pennsylvania State University

OpenAlex ID: W7203684003

FWCI:

Cites: 57

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