Frontiers of Emerging AI Technologies Best Practices and Workforce Development in Transportation: NSF AI–Transportation Workshop Phase II-Reference-Cited by-同舟云学术

Frontiers of Emerging AI Technologies Best Practices and Workforce Development in Transportation: NSF AI–Transportation Workshop Phase II

Published:2024-09 Issue:9 Volume:150 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Pu Chenlu¹^ORCID,Liu Chenxi²,Wang Yinhai³^ORCID,Du Lili⁴^ORCID

Affiliation:

1. Ph.D. Student, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL 32608. ORCID: .

2. Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Washington, Seattle, WA 98195.

3. Professor, Dept. of Civil and Environmental Engineering, Univ. of Washington, Seattle, WA 98195. ORCID: .

4. Professor, Dept. of Civil and Coastal Engineering, Univ. of Florida, Gainesville, FL 32608 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-8441

Reference20 articles.

1. Abdul-Rahim A. 2022. “Artificial intelligence-empowered urban transportation solutions–Are civil engineering graduates ready for the next generation transportation system?” In Proc. the Frontiers of Artificial Intelligence-Empowered Methods and Solutions to Urban Transportation Challenges Phase II: Best Practice Education and Workforce Development. Gainesville FL: Univ. of Florida.

2. ASCE-T&DI Artificial Intelligence in Transportation Committee. 2022. “The frontiers of artificial intelligence-empowered methods and solutions to urban transportation challenges phase II: Best practice education and workforce development.” Accessed December 15 2022. https://www.asce.org/-/media/asce-images-and-files/communities/institutes-and-technical-groups/transportation-and-development/documents/nsf_workshopflyer_dev-15-2022.pdf.

3. Chui M. J. Manyika M. Miremadi N. Henke R. Chung P. Nel and S. Malhotra. 2018. “Notes from the AI frontier: Insights from hundreds of use cases.” McKinsey & Company. Accessed October 10 2023. https://www.mckinsey.com/~/media/mckinsey/featured%20insights/artificial%20intelligence/notes%20from%20the%20ai%20frontier%20applications%20and%20value%20of%20deep%20learning/notes-from-the-ai-frontier-insights-from-hundreds-of-use-cases-discussion-paper.ashx.

4. Public health, ethics, and autonomous vehicles;Fleetwood J.;Am. J. Public Health,2017

5. Control of connected and automated vehicles: State of the art and future challenges;Guanetti J.;Annu. Rev. Control,2018