Artificial Intelligence Innovations in Transportation Infrastructure (VSI: aiiti))
The safety, efficiency, and sustainability of our transportation networks relies heavily on the construction, monitoring, and inspection of transportation infrastructure. Recent advancements in artificial intelligence (AI) and other emerging technologies are revolutionizing these areas, offering new tools and methodologies to enhance the quality and performance of transportation infrastructure. This special issue aims to explore the latest innovations, challenges, and future directions in the application of artificial technologies in the construction, monitoring, and inspection of transportation infrastructure.
Guest editors:
Jian Liu (Leading Editor), Professor, Shandong University, China, Email: lj75@sdu.edu.cn
Feng Guo (Executive Editor), Assistant Professor, Shandong University, China, Email: fengg@sdu.edu.cn
Bin Zhang, Associate Professor, University of South Carolina, United States, Email: zhangbin@cec.sc.edu
Ju Huyan, Associate Professor, Chang’an University, China, Email: jhuyan@chd.edu.cn
Ruixiao Sun, R&D Associate Staff, Oak Ridge National Laboratory, United States, Email: sunr@ornl.gov
Manuscript submission information:
Before submission, authors should carefully read the Guide for Authors available at https://www.elsevier.com/journals/computers-and-electrical-engineering/0045-7906/guide-for-authors
Authors should submit their papers through the journal's web submission tool at https://www.editorialmanager.com/compeleceng/default.aspx by selecting “VSI: aiiti” under the “Article Type” tab. For additional questions, contact the Main Guest Editor.
Submission Deadline for Manuscripts: 2025.04.30
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