Data-Driven Modeling of Sustainable Transportation Systems in Supply Chains
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Supply Chain Management".
Deadline for manuscript submissions: 10 March 2026 | Viewed by 41
Special Issue Editor
Special Issue Information
Dear Colleagues,
The compatibility of technologies connecting multiple modes of transport and other companies cooperating in the supply chain and the management of those systems affects the performance of each company. Difficulties in linking innovative software with existing programs and databases and the problem of information availability and data transfer speed during transportation affect the modeling of systems and information throughput. The aim of this Special Issue is to collect a collection of innovative proposals on the topics of modeling transportation systems and other important areas and to combine new insights into system modeling and dynamics. The aim is to attract innovative research and practical insights that contribute to the improvement of systems methodology in the context of sustainable transportation in the supply chain. By studying various application areas, the aim is to determine the universality of methods and promote innovation in various modes of transport. Empirical research aims to present the implementation of sustainable transportation in the supply chain.
In this Special Issue, we invite papers that explore the application of data-driven modeling and analysis in a variety of contexts, including but not limited to the following:
- Optimizing transportation in the supply chain.
- Analysis of transportation management systems.
- Environmental protection and sustainable transportation.
- Analytics and analytical analysis of transportation.
- Analysis of supply chain collaboration networks.
- Analysis and forecasting of transportation markets.
- Optimization of transportation infrastructure.
- Intelligent traffic and smart applications in transportation. Smart applications for intermodal transport.
- Analysis of the behavior of supply chain collaborating companies and customers.
- Optimization of engineering collaboration networks.
We invite researchers and practitioners to share their research results and conclusions, contributing to the advancement of research on sustainable transportation flows in the chain.
Dr. Kristina Vaiciute
Guest Editor
Manuscript Submission Information
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Keywords
- transportation decision support systems
- data analysis systems
- green transportation technologies and systems
- big data
- real-time data analysis
- information systems for cooperation between different transport modes
- modeling methods
- empirical research
- intermodal transport
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