Manuscript Topics

Transportation is the cornerstone of the global trade network, enabling the movement of goods by air, land, and sea. Recent shifts in demand structures, societal needs, and environmental priorities have driven significant transformations in the transportation and logistics sectors. Additionally, the emergence of cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) has introduced new possibilities for optimizing transportation activities. While these advancements offer opportunities to improve the efficiency and sustainability of transportation systems, they also present new scientific challenges that require innovative mathematical solutions.

This special issue aims to highlight research that offers new mathematical methods or computational analyses, addressing the emerging challenges and opportunities within transportation and logistics. We encourage submissions that emphasize innovative mathematical models, advanced numerical simulations, and computational techniques that reveal or explain new phenomena in transportation and logistics. Research that demonstrates novelty in mathematical analysis and its application to real-world problems is especially welcome.

We invite high-quality research and review papers presenting recent theoretical, applied, or methodological developments in the transportation and logistics sectors. Contributions that offer novel insights, innovative solutions, and practical applications are highly encouraged. Topics of interest include, but are not limited to:  
• Optimization models and algorithms for transportation systems  
• Advanced computational techniques in logistics management  
• Sustainable transportation through innovative mathematical modeling  
• Digital transformation and its mathematical implications  
• Intelligent transportation systems and data-driven methods  
• Supply chain networks with a focus on mathematical analysis  
• Big-data analytics in transportation studies  
• Transportation policy with quantitative and mathematical insights  
• Environmental impact modeling using advanced simulations

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