Artificial Intelligence and Data-Driven Strategies for Advancing Smart, Sustainable, and Resilient Infrastructures and Mobility Systems

Dear Colleagues,

The integration of Artificial Intelligence (AI) and data-driven strategies is transforming the operation of modern infrastructure and mobility systems. From optimizing urban transportation networks to enhancing interregional connectivity, AI-driven solutions are playing a crucial role in ensuring efficiency, sustainability, and resilience in both urban and interurban environments.

The rapid advancement of machine learning, predictive analytics, and real-time data processing has enabled the development of novel approaches to traffic management, road safety, energy consumption forecasting, and emergency response planning. Intelligent transportation systems now leverage AI to predict congestion patterns, optimize fuel usage, and enhance driver behavior analysis, contributing to safer and more sustainable mobility solutions. Moreover, data-driven models assist in disaster management and evacuation planning, ensuring that critical infrastructure remains operational during crises.

Despite these advancements, several challenges remain in the large-scale deployment of AI-powered infrastructure and mobility systems. Issues such as data integration, real-time decision-making, cybersecurity, and ethical considerations require further exploration. Additionally, the interplay between AI, IoT, and smart city frameworks calls for interdisciplinary research to maximize the potential application of intelligent mobility solutions.

This Special Issue invites researchers, practitioners, and policymakers to present innovative AI techniques and data-driven methodologies that address the challenges associated with infrastructure resilience, transportation efficiency, and sustainable mobility. We welcome contributions that provide theoretical insights, empirical studies, and real-world applications, demonstrating the transformative role of AI in building smarter, safer, and more adaptive mobility networks. The scope of this Special Issue includes, but is not limited to, the following topics:

• AI-driven optimization in transportation networks;
• Predictive analytics for traffic flow and congestion management;
• Road safety enhancement using AI and real-time data;
• Smart infrastructure resilience and disaster response planning;
• Energy-efficient mobility and fuel consumption forecasting;
• Autonomous and connected vehicle technologies;
• IoT and sensor-based data integration for mobility solutions;
• Ethical and cybersecurity challenges in AI-driven mobility;
• AI for public transportation efficiency and accessibility;
• Machine learning models for driver behavior analysis and risk assessment;
• Transport system models for evacuation conditions;
• AI-driven prediction and simulation of urban evacuation dynamics;
• The role of blockchain data structures in emergency management.

Dr. Sina Shaffiee Haghshenas
Dr. Giuseppe Guido
Dr. Vittorio Astarita
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• artificial intelligence
• smart mobility
• infrastructure resilience
• predictive analytics
• traffic management
• road safety
• IoT in transportation
• autonomous vehicles
• data-driven decision making
• disaster management
• blockchain data structures