Decision-Making and Simulation Applications in Intelligent Transportation Systems
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Artificial Intelligence and Digital Systems Engineering".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 2
Special Issue Editor
Interests: multiple-criteria decision analysis; modelling; soft computing; machine learning; transportation system
Special Issue Information
Dear Colleagues,
Intelligent Transportation Systems (ITS) are transforming the way we plan, operate and optimize mobility in urban and interurban environments. The integration of advanced decision-making frameworks and simulation technologies enables stakeholders to better understand complex transport dynamics, evaluate the impact of policies, and design resilient, adaptive mobility solutions.
This Special Issue focuses on the synergy between decision-making methodologies and simulation applications in ITS, and aims to highlight innovative approaches that leverage artificial intelligence (AI), soft computing, machine learning (ML), agent-based modelling, digital twins, and multi-criteria decision analysis to address challenges such as traffic congestion, autonomous vehicle integration, multimodal transport coordination, and sustainability.
This Special Issue welcomes both theoretical and applied research and review papers, including case studies, empirical analyses and methodological innovations, that demonstrate the value of simulation and decision support systems in shaping the future of transport.
The scope of this Special Issue includes, but is not limited to, the following topics:
- Decision-support systems for ITS planning, operations and control;
- Simulation-based evaluation of traffic management strategies;
- Multi-criteria decision-making in transportation infrastructure development, preference modelling and trade-off analytics in transport policies and investments;
- Agent-based and system dynamics modelling of traveler behaviour, mode choice and network interactions under policy change;
- Digital twin applications in transport networks;
- AI/ML-driven predictive analytics for demand, traffic states, incidents and maintenance, integrated into operational decision-making processes;
- Scenario testing for the deployment of autonomous and connected vehicles and mixed traffic control under uncertainty;
- Optimisation in multimodal, last-mile and freight logistics;
- Resilience and sustainability assessment via simulation;
- Human-centered decision processes in smart mobility systems.
Dr. Jiří Křupka
Guest Editor
Manuscript Submission Information
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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. Systems 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 2400 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.
Keywords
- intelligent transportation systems
- decision-making and multi criteria decision analysis
- simulation modelling
- agent-based modelling
- digital twin
- traffic optimization
- multimodal transport and logistics
- predictive analytics
- sustainable mobility
- transportation scenario testing
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