Artificial Intelligence for Transportation
Volume 4 • Issue 4
- ISSN: 3050-8606
Artificial Intelligence for Transportation is a peer-reviewed journal dedicated to advancing the integration of machine learning (ML) and artificial intelligence (AI) into the fi… Read more
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Request a sales quoteArtificial Intelligence for Transportation is a peer-reviewed journal dedicated to advancing the integration of machine learning (ML) and artificial intelligence (AI) into the field of transportation. The journal focuses on innovative research that leverages AI and ML to address critical challenges in understanding, designing, planning, operating, and managing sustainable, safe, and efficient multimodal transportation systems.
Emphasizing the development of AI-empowered solutions, the journal seeks contributions that enhance transportation system performance in terms of safety, efficiency, reliability, equity, accessibility, and environmental sustainability. Interdisciplinary research is highly encouraged, particularly work that integrates cutting-edge AI technologies, such as deep learning, reinforcement learning, large language models, with conventional methodologies, e.g. operations research, probabilistic modeling, etc., to tackle complex transportation challenges.
Artificial Intelligence for Transportation strongly supports open science initiatives, promoting the publication of reproducible research and the sharing of large-scale datasets through online repositories. The journal places special emphasis on studies demonstrating the scalability and transferability of AI-empowered solutions across diverse transportation contexts and geographies.
- ISSN: 3050-8606
- Volume 4
- Issue 4