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 November 2026 | Viewed by 714

Editors


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Guest Editor
Department of Transport Management, Marketing and Logistics, Faculty of Transport Engineering, University of Pardubice, Studentska 95, 53210 Pardubice, Czech Republic
Interests: multiple-criteria decision analysis; modelling; soft computing; machine learning; transportation system

E-Mail Website
Guest Editor
Department of Transport Management, Marketing and Logistics, Faculty of Transport Engineering, University of Pardubice, 53210 Pardubice, Czech Republic
Interests: Automatic Identification and Data Capture (AIDC); logistics; multiple-criteria decision making; 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
Dr. Roman Hruska
Guest Editors

Manuscript Submission Information

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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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Published Papers (1 paper)

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Research

22 pages, 3640 KB  
Article
Human-Centred Decision Processes of International Tourists in Intelligent Transport Service Systems: The Roles of Perceived Quality, Adaptation Experience, and Continuance Intention
by Yufeng Fu, Chun Yang, Zhiyuan Wang and Juncheng Mu
Systems 2026, 14(8), 997; https://doi.org/10.3390/systems14080997 - 15 Aug 2026
Viewed by 190
Abstract
The rapid development of Intelligent Transport Service Systems (ITSSs) in China, alongside global urbanisation and growing international tourism, makes it important to understand what drives international tourists’ continued use of these systems. This study develops an extended Expectation–Confirmation Model by incorporating Perceived Quality [...] Read more.
The rapid development of Intelligent Transport Service Systems (ITSSs) in China, alongside global urbanisation and growing international tourism, makes it important to understand what drives international tourists’ continued use of these systems. This study develops an extended Expectation–Confirmation Model by incorporating Perceived Quality (PQ) and Adaptation Experience (AE) as process-oriented constructs and tests it using survey data from 477 international tourists in Shanghai. The results show that Perceived Quality (PQ), Adaptation Experience (AE), Confirmation (CO), and Satisfaction (SA) significantly predict Continuance Intention (CI). Expectation (EX) affects Continuance Intention mainly indirectly through Perceived Quality and Confirmation rather than through a direct path. Adaptation Experience significantly predicts Continuance Intention, whereas its direct effect on Satisfaction is not significant. The findings indicate that international tourists particularly value system reliability, intuitive interfaces, and low-effort adaptation. The study suggests that operators and policymakers should improve information accuracy, interface usability, multilingual support, procedural transparency, and the integration of payment and authorisation functions to better align system performance with user expectations and strengthen the long-term internationalisation of ITSSs. Full article
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