Simulation Modelling Practice and Theory最新文献

{"title":"Intelligent system modeling using GenAI: A methodology for automated simulation model generation","authors":"Lin Zhang ,&nbsp;Yuteng Zhang ,&nbsp;Dusit Niyato ,&nbsp;Lei Ren ,&nbsp;Pengfei Gu ,&nbsp;Zhen Chen ,&nbsp;Yuanjun Laili ,&nbsp;Wentong Cai ,&nbsp;Agostino Bruzzone","doi":"10.1016/j.simpat.2025.103236","DOIUrl":"10.1016/j.simpat.2025.103236","url":null,"abstract":"<div><div>Generative AI (GenAI) has demonstrated remarkable capabilities in code generation, and its integration into model-based systems engineering for complex product modeling and simulation code generation can significantly enhance the efficiency of product design and modeling. In this study, we introduce a generative system modeling framework, offering a practical approach for the intelligent generation of simulation models for system physical properties. First, we fine-tune the language model used for simulation model generation on an existing library of simulation models and additional datasets generated through generative modeling. Subsequently, we employ BERT-based inference techniques, generative models, and integrated modeling and simulation languages to construct simulation models for system physical properties of products based on product design documents. Thereafter, we introduce evaluation metrics for the generated simulation models for system physical properties. Finally, we propose a validation and simulation framework for generated simulation models. Our proposed approach to simulation model generation presents the innovative concept of scalable templates for simulation models. Using these templates, GenAI generates simulation models for system physical properties through code completion. The experimental results demonstrate that, for mainstream open-source Transformer-based models, the quality of the simulation model is improved by 21.4% using the simulation model generation method proposed in this paper.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"147 ","pages":"Article 103236"},"PeriodicalIF":3.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145665649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation of n-dimensional second order fluid models with custom oriented barriers","authors":"Marco Gribaudo ,&nbsp;Mauro Iacono","doi":"10.1016/j.simpat.2026.103253","DOIUrl":"10.1016/j.simpat.2026.103253","url":null,"abstract":"<div><div>When systems have to process a large number of entities, which can be stored in buffers during their operations, discrete models might suffer from a lot of drawbacks, and fluid approximations give several advantages. When flows are not constant, but affected by variability, second orders fluid models become handy due to their ability of including variance in flow rates. In this context, the simulation of second-order fluid models requires specific techniques especially when considering correlated flows in several dimensions. In this work, we consider arbitrary correlation and fluid barrier structure, and we provide procedures to generate simulation traces of the underlying stochastic process.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"147 ","pages":"Article 103253"},"PeriodicalIF":3.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic evacuation route planning for urban residents in flood disasters","authors":"Shuchao Cao ,&nbsp;Ying Zhou ,&nbsp;Yunhe Tong ,&nbsp;Rui Ye ,&nbsp;Xiaoxia Yang ,&nbsp;Yiping Zeng ,&nbsp;Peng Wang","doi":"10.1016/j.simpat.2025.103250","DOIUrl":"10.1016/j.simpat.2025.103250","url":null,"abstract":"<div><div>In recent years, flood disasters have frequently impacted urban areas, resulting in significant casualties and property loss worldwide. To ensure the safety of residents during flooding events, it is urgent to conduct large-scale evacuations in flood-prone areas. However, the impacts of flooding on urban evacuation are dynamically coupled with real-world conditions, which are often overlooked in current research. Therefore, a dynamic evacuation planning framework is proposed in this paper to provide safe and efficient evacuation routes for urban population under various flood scenarios. Firstly, the flood spreading process is accurately simulated across different rainfall patterns. Secondly, the dynamic influences of floods on travel speed, instability risk and road capacity are incorporated and quantified in the evacuation planning. Finally, the quickest evacuation routes are generated for evacuees in different residential areas to achieve both safety and efficiency objectives. Based on a case study, it is found that both the increased evacuation preparation time and larger rainfall intensity have an adverse effect on the evacuation safety and efficiency, significantly reducing the evacuation success rate under severe floods. The expressways carrying the largest traffic volume are crucial for ensuring the efficient evacuation during floods. Furthermore, the uneven utilization of shelters due to the flood impact and limited capacity should be considered in urban planning. The study can bring practical guidance for emergency departments and decision-makers to mitigate disaster losses and develop evacuation schemes in urban floods.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"147 ","pages":"Article 103250"},"PeriodicalIF":3.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A hydro-mechanical model for predicting long-term swelling of claystone under constant loading","authors":"Wanqi Zhang,&nbsp;Honghao Chen,&nbsp;Chengguo Zhang,&nbsp;Joung Oh,&nbsp;Ismet Canbulat,&nbsp;Serkan Saydam","doi":"10.1016/j.simpat.2025.103245","DOIUrl":"10.1016/j.simpat.2025.103245","url":null,"abstract":"<div><div>Claystone tends to swell and deform upon exposure to water, frequently causing adverse impacts on the stability of engineering excavations. Predicting the swelling behaviour remains challenging due to the combined effects of various influencing factors associated with mineral compositions and external conditions. This study conducts swelling tests on claystone to assess the one-dimensional swelling under different vertical loads. Laboratory tests reveal that external loads can impede the evolution of swelling pressure and reduce the swelling deformation. Based on the test results, a 3D hydro-mechanical model is developed by coupling time-dependent hydraulic process and mechanical response to simulate the swelling behaviour of the rock under varying loading conditions. A material diffusivity constant is introduced to quantify the nonlinear decay effects of external loading on the effective diffusion coefficient during the hydraulic process. Parametric sensitivity analyses evaluate the impact of clay mineral content and external loading on swelling behaviour. The results indicate that (i) higher clay mineral contents lead to greater swelling deformation due to the stiffness degradation, and (ii) greater external loads retard the water transport process and decrease swelling deformation. The combined effects of clay content and external loading are discussed. Furthermore, a long-term swelling prediction of 10,000 days is performed, revealing that an enhanced confinement can delay the timing of swelling stabilisation due to the decline in effective diffusion coefficient. The estimated swelling strain shows an inverse relationship with the confinement. Overall, this study enhances the understanding of rock behaviour under various mineral compositions and external loads, providing valuable insights into predicting and mitigating swelling.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"147 ","pages":"Article 103245"},"PeriodicalIF":3.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing pedestrian safety on rural primary school roads in shanghai using machine learning and spatial-temporal simulation modeling","authors":"Mingwei Liu ,&nbsp;Tingting Wu ,&nbsp;Yoshinao Oeda","doi":"10.1016/j.simpat.2025.103243","DOIUrl":"10.1016/j.simpat.2025.103243","url":null,"abstract":"<div><div>During peak school commute times in China, both vehicle and pedestrian traffic increase significantly, which worsens road safety near rural schools that often lack adequate sidewalk infrastructure. This study introduces a two-phase simulation model to predict the likelihood that child pedestrians will avoid vehicles on specific road segments, particularly when their movements are parallel to those of the vehicles. In the first phase, a support vector machine (SVM) was used to analyze how pedestrians respond in different traffic scenarios on bi-directional, mixed-traffic roads and to assess the factors influencing pedestrian behavior during interactions with vehicles. In the second phase, a spatial-temporal simulation model was developed to examine the interaction between pedestrian and vehicle sequences on these road segments, providing a stochastic approach to evaluating pedestrian safety. The model incorporates several factors, including bidirectional traffic volume, traffic speed, vehicle type, on-street parking availability during commute time, and pedestrian movement patterns. The findings show that the impact of same-direction traffic on pedestrians' risk perception is greater than that of opposite-direction traffic. Additionally, reducing peak-time on-street parking near schools significantly improves pedestrian safety. By directly estimating pedestrian risk perception based on controllable traffic factors, the study provides valuable insights for traffic management strategies. This research presents a novel tool to enhance road safety, particularly in rural school areas, thereby helping mitigate risks during peak commuting times.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"147 ","pages":"Article 103243"},"PeriodicalIF":3.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Which exit to choose? A multi-fields cellular automata model for simulating passenger evacuation of subway station platforms under flood disaster","authors":"Yongxing Li ,&nbsp;Xiaoxiao Fu ,&nbsp;Jingxuan Peng ,&nbsp;Xiaoxia Yang","doi":"10.1016/j.simpat.2025.103240","DOIUrl":"10.1016/j.simpat.2025.103240","url":null,"abstract":"<div><div>Urban flood disasters have occurred frequently in recent years, posing significant risks to underground spaces with high pedestrian density such as subway stations. However, existing studies on exit selection by choosing the nearest exit oversimplify the decision-making process, while, the assumption of a globally shortest evacuation time is impractical, as pedestrians are unaware of the actual path conditions. Inspired by the success of the cellular automata (CA) model in the field of pedestrian emergency evacuation simulation, we propose a multi-exits selection-based multi-fields cellular automata (MEF-CA) framework for simulating pedestrians evacuation of subway station platforms under flood disasters, which incorporates three modules: flood spreading (FS) module, estimated evacuation time-based multi-exits selection (EMS) module, and multi-fields cellular automata (MCA) module. Specifically, we simulate flood spreading process through the FS module with MIKE software, and obtain the exit selection result through the EMS module. Furthermore, by fusing multiple fields, a MCA module is established to simulate pedestrians movement. In addition, we conduct a survey of the platform at Beijing University of Technology’s West Gate Station and select it as a case study. On this basis, a large number of simulation experiments are carried out, and the comparison with the traditional model demonstrates that our framework can more faithfully reproduce pedestrian evacuation under flood conditions. Based on the MEF-CA, three meaningful conclusions can be drawn: (1) <strong>The critical role of exit selection:</strong> the EMS module more realistically simulates pedestrian exit-choice behavior. (2) <strong>The significant impact of water inflow conditions:</strong> fewer inlets – especially when positioned on the same side – can reduce flood impact and lower the number of un-evacuated pedestrians. (3) <strong>The influence of train stopping patterns:</strong> parking trains on one side of the platform can significantly improve evacuation efficiency. These findings provide theoretical support and practical guidance for optimizing subway station design and emergency management under flood disaster.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"147 ","pages":"Article 103240"},"PeriodicalIF":3.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generative agents for urban mobility: A cognitive framework for realistic travel behavior simulation","authors":"Qi Liu,&nbsp;Can Li,&nbsp;Wanjing Ma","doi":"10.1016/j.simpat.2025.103234","DOIUrl":"10.1016/j.simpat.2025.103234","url":null,"abstract":"<div><div>Traditional agent-based urban mobility simulations rely on predefined expert rules, limiting their ability to capture the complexity and adaptability of human mobility decisions. This paper introduces GATSim (Generative Agent Transport Simulation), a novel framework that integrates agents powered by large language models (LLM) into urban mobility simulation environments. GATSim employs generative agents with innovative cognitive architectures including hierarchical memory systems, multi-modal retrieval mechanisms, planning, reactive and reflection processes. GATSim is validated at both microscopic and macroscopic levels using a prototype on a stylized transportation network. The results show that the generative agents exhibit peak spreading, route learning, and incident response behaviors that mirror the dynamics of the real world. This work contributes to the paradigm shift from rule-based to intelligence-based urban mobility simulation, providing a more realistic and flexible framework for urban transportation modeling. The code for the prototype implementation is publicly available at: <span><span>https://GitHub.com/qiliuchn/gatsim</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"147 ","pages":"Article 103234"},"PeriodicalIF":3.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation based sustainable optimization in edge–fog–cloud energy systems","authors":"Shadi Alzu’bi ,&nbsp;Basem Alokush ,&nbsp;Leila Jamel ,&nbsp;Fahd N. Al-Wesabi ,&nbsp;Randa Allafi","doi":"10.1016/j.simpat.2025.103237","DOIUrl":"10.1016/j.simpat.2025.103237","url":null,"abstract":"<div><div>Sustainable scheduling and resource management becomes very important in edge–fog–cloud environments, especially when hybrid renewable energy resources have been highly integrated with IoT applications. The work proposed in this paper introduces a simulation system for optimizing sustainable energy in several operating conditions, it highlights intelligent scheduling and resource allocation as well. Generative AI (GenAI) with edge intelligence have been employed in the proposed system to create synthetic simulated data. This enables efficient performance modelling and improves energy scheduling strategies testing. The experiments which are based on Simulation, improve sustainability metrics (over 30% gains in scheduling efficiency), proved higher Mean Time Between Failures (MTBF) which indicates increased reliability, and energy consumption where significantly reduced keeping workload deadlines. These results emphasize the importance of the proposed systems. Moreover, this work highlight the possibility of expanding the proposed system for emerging computing models such as 6G and the Industrial IoT.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"147 ","pages":"Article 103237"},"PeriodicalIF":3.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145665650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated input distribution fitting based on multiple criteria for the Kotlin Simulation Library","authors":"Manuel D. Rossetti,&nbsp;Farid Hashemian,&nbsp;Maryam Aghamohammadghasem","doi":"10.1016/j.simpat.2025.103251","DOIUrl":"10.1016/j.simpat.2025.103251","url":null,"abstract":"<div><div>Input distribution modeling remains an important task for practitioners of discrete-event stochastic simulation. This paper presents an automated input distribution recommendation procedure based on multiple statistical criteria for selecting an appropriate univariate probability distribution from data. Candidate distributions are evaluated using a collection of goodness-of-fit metrics, which are combined through a multi-criteria decision analysis framework to provide reliable recommendations across a wide range of sample sizes and distributional shapes. Extensive numerical experiments evaluate the accuracy, false positive rate, and false negative rate of both individual metrics and composite measures, leading to practical guidance for default metric selection in automated input modeling. The proposed methodology is implemented within the Kotlin Simulation Library (KSL), an open-source discrete-event simulation framework, to demonstrate its practical applicability; however, the approach itself is general and not tied to any specific software platform.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"147 ","pages":"Article 103251"},"PeriodicalIF":3.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A GIS-integrated agent-based simulation framework for modeling and evaluation of police patrol operations","authors":"Yasaman Ghasemi ,&nbsp;Yuan Zhou ,&nbsp;Sina Zare ,&nbsp;Victoria C.P. Chen","doi":"10.1016/j.simpat.2025.103233","DOIUrl":"10.1016/j.simpat.2025.103233","url":null,"abstract":"<div><div>This study presents a Geographic Information Systems (GIS)-integrated agent-based simulation (ABS) framework designed to evaluate police patrol deployment and shift scheduling under realistic operational constraints. The model integrates empirical Intergraph Computer-Aided Dispatch (I/CAD) data, GIS-based travel-time routing, and shift-level scheduling logic within a unified ABS environment. It captures dynamic interactions among patrol units, incident locations, and time-varying service demand.</div><div>A series of scenario-based experiments investigate the effects of key operational parameters, shift length (8-hour vs. 10-hour), patrol force size, and routing logic (shortest vs. fastest path) on system performance indicators such as response time, officer utilization, and workload balance. Results show that 10-hour shifts consistently improve response efficiency compared to 8-hour shifts, while larger patrol sizes enhance workload equity without significantly reducing delays. The model also quantifies the trade-offs between workforce expansion and scheduling strategy.</div><div>The simulation is calibrated using real-world patrol data from the Arlington Police Department, Texas, and validated through both historical benchmarks and synthetic call-arrival profiles. The model offers a configurable and adaptable simulation-based planning framework for urban public-service operations. The proposed framework demonstrates how agent-based simulation, enriched with spatial routing and empirical scheduling data, can support tactical decision-making in complex, service-driven systems.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"147 ","pages":"Article 103233"},"PeriodicalIF":3.5,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}