Mathematical Methods in System Engineering Modeling and Simulation
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 273
Special Issue Editors
Interests: systems engineering; operations research; modeling and simulation; machine learning; human factors engineering
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; cyber-physical systems
Special Issues, Collections and Topics in MDPI journals
Interests: traffic safety; operation; vulnerable roadway users; traffic signal control; statistical analysis in traffic engineering; ITS; transportation cybersecurity
Interests: big data in construction industry and asset management; artificial intelligence; machine learning; data science; natural language processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mathematical models form the foundation of systems engineering modeling and simulation, providing rigorous tools for representing, analyzing, and optimizing complex system infrastructures. In complex systems engineering such as transportation systems, these methods enable the modeling of dynamic interactions among system components and infrastructure. Mathematical formulations support the simulation of systems operations under diverse conditions and constraints.
Optimization techniques complement these simulations by improving design, scheduling, routing, and control strategies. Applications include system optimization, flow management, demand-responsive services, and network configuration. Combining modeling, simulation, and optimization allows researchers and engineers to test “what-if” scenarios, assess resilience, and enhance performance, safety, and sustainability.
Recent advances integrate machine learning, agent-based simulation with Operations Research to handle uncertainty and multi-objective decision problems in various connected systems, e.g., transportation networks, logistic planning, operational optimization cyber-defense, etc. Such approaches improve safety, security, and efficiency, and support data-driven policy design.
This Special Issue welcomes contributions advancing mathematical methods in systems engineering modeling and simulation, particularly those addressing transportation systems. Research that unites theoretical rigor, computational innovation, and real-world applicability will strengthen the capability of engineers to design and manage intelligent, adaptive, and sustainable transportation infrastructures.
Prof. Dr. Dahai Liu
Dr. Yongxin Liu
Dr. Hongyun Chen
Dr. Lu Gao
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 250 words) can be sent to the Editorial Office for assessment.
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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
- optimization
- simulation
- operations research
- decision-making
- stochastic modeling
- transportation systems
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