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Towards resilient cities: A hybrid simulation framework for risk mitigation through data-driven decision making Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-03-12 David Carramiñana, Ana M. Bernardos, Juan A. Besada, José R. Casar
Providing a comprehensive view of the city operation and offering useful metrics for decision-making is a well-known challenge for urban risk-analysis systems. Existing systems are, in many cases, generalizations of previous domain specific tools/methodologies that may not cover all urban interdependencies and makes it difficult to have homogeneous indicators. In order to overcome this limitation while
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Simulation–optimization configurations for real-time decision-making in fugitive interception Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-03-11 Irene S. van Droffelaar, Jan H. Kwakkel, Jelte P. Mense, Alexander Verbraeck
Simulation–optimization models are well-suited for real-time decision-support to the control room for search and interception of fugitives by Police on a road network, due to their ability to encode complex behavior while still optimizing the interception.
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A discrete event approach to micro-scale traffic modeling in urban environment Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-03-05 Florian Condette, Eric Ramat, Patrick Sondi
In this work, we present a new approach based on a discrete event formalism to model and simulate micro-scale urban traffic systems. The formalism is a coupling between the P-DEVS (Parallel-Discrete Event System Specification) formalism and UML (Unified Modeling Language) state machines. A system is represented by a set of coupled components. Each component supports the dynamics and logic of a system
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A Hybrid Simulation Platform for quality-aware evaluation of complex events in an IoT environment Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-03-04 Dimitris Gkoulis, Cleopatra Bardaki, Mara Nikolaidou, George Kousiouris, Anargyros Tsadimas
Complex Event Processing (CEP) is a successful method to transform simple IoT events created by sensors into meaningful complex business events. To enhance availability, an event fabrication mechanism is integrated within the CEP model, generating synthetic events to offset missing data, resulting in a quality-aware CEP model. In this model, generated complex events are characterized by quality properties
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ELEKTRA: Empowering prosumers with distributed prosumer grouping and game-theoretic energy procurement Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-03-04 Nicholas Kemp, Md Sadman Siraj, Eirini Eleni Tsiropoulou
In this paper, the framework is introduced, a novel community energy management system that organizes the prosumers into autonomous communities and determines the prosumers’ optimal energy procurement in a distributed manner. Our motivation stems from the increasing complexity of the energy procurement for prosumers and the need for more efficient and decentralized approaches to optimize their energy
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Many-objective joint optimization of computation offloading and service caching in mobile edge computing Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-03-02 Zhihua Cui, Xiangyu Shi, Zhixia Zhang, Wensheng Zhang, Jinjun Chen
The computation offloading problem in mobile edge computing (MEC) has received a lot of attention, but service caching is also a research topic that cannot be ignored in MEC. Due to the limited resources available on the Edge Server (ES), a wise computation offloading and service caching policy must be formulated in order to maximize system offload efficiency. In this paper, a many-objective joint
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User-defined weight based multi objective task scheduling in cloud using whale optimization algorithm Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-02-29 Swati Gupta, Ravi Shankar Singh
Cloud computing has revolutionized the IT landscape, providing scalable, on-demand computing resource. For efficiency in cloud environments, it is essential for modern organizations, where objectives often include cost reduction, resource consumption, operational efficiency and load balancing etc, to implement multi objective solutions. Single-objective systems can fail in handling dynamic and diverse
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Modular deep learning-based network intrusion detection architecture for real-world cyber-attack simulation Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-02-29 Vladimir Ciric, Marija Milosevic, Danijel Sokolovic, Ivan Milentijevic
In an increasingly digitalized world, cybersecurity has emerged as a critical component of safeguarding sensitive information and infrastructure from malicious threats. The threat actors are often in line or even one step ahead of the defense, causing the increasing reliance of security teams on artificial intelligence while trying to detect zero-day attacks. However, most of the cybersecurity solutions
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Modeling and experimental validation of twin lip balanced vane pump considering micromotions, contact mechanics, and lubricating interfaces Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-02-23 Zubin Mistry, Andrea Vacca, Sri Krishna Uppaluri
This paper presents a model formulation for balanced twin lip vane pumps and an experimental activity to validate the model. The simulation model begins with a geometrical module that preprocesses the CAD drawings of a given unit. The model then performs a fluid dynamic analysis using a lumped-parameter formulation to solve for the pressures inside properly defined control volumes within the unit.
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Why it does not work? Metaheuristic task allocation approaches in Fog-enabled Internet of Drones Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-02-20 Saeed Javanmardi, Georgia Sakellari, Mohammad Shojafar, Antonio Caruso
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Efficient derivation of optimal signal schedules for multimodal intersections Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-02-20 Nicola Bertocci, Laura Carnevali, Leonardo Scommegna, Enrico Vicario
Tramways decrease time, cost, and environmental impact of urban transport, while requiring multimodal intersections where trams arriving with nominal periodic timetables may have right of way over road vehicles. Quantitative evaluation of stochastic models enables early exploration and online adaptation of design choices, identifying operational parameters that mitigate impact on road transport performance
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A Service-Oriented Framework for Large-Scale Documents Processing and Application via 3D Models and Feature Extraction Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-02-09 Qiang CHEN, Yinong CHEN, Cheng ZHAN, Wu CHEN, Zili ZHANG, Sheng WU
Educational big data analysis is facilitated by the significant amount of unstructured data found in education institutions. Python has various toolkits for both structured and unstructured data processing. However, its ability for processing large-scale data is limited. On the other hand, Spark is a big data processing framework, but it does not have the needed toolkits for processing unstructured
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Editorial on Simulation and Modeling using Digital Twins in Mechanical Design and in Advanced Manufacturing Technology Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-02-08 Pantelis Nikolakopoulos, Angelos P. Markopoulos
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Assignment-simulation model for forklifts in a distribution center with aisle constraints Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-02-06 Mauricio Becerra-Fernandez, Olga R. Romero, Johanna Trujillo-Diaz, Milton M. Herrera
This study proposes a simulation model for allocating counterbalanced forklifts in a logistics distribution center (LDC) with aisle constraints. Modeling the case study for a consumer goods firm, the performance measures of the logistics operation were calculated and certain experimental scenarios were purposed for decision-making regarding the number of forklifts and their productivity. The relevance
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Latency-aware placement of vehicular metaverses using virtual network functions Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-02-03 Fatima A. AlKhoori, Latif U. Khan, Mohsen Guizani, Martin Takac
Recent unprecedented trend towards novel vehicular network applications (e.g., lane change assistance, collision avoidance, accident reporting, and infotainment) led to research activities towards the novel design of vehicular networks. Such a novel design can leverage metaverse architecture among various possible schemes. However, enabling the metaverse for a vehicular network requires careful placement
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Modeling and optimization of platooning behaviors in fixed-time signalized intersection entrance areas Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-01-27 Junjie Zhang, Haijian Li, Yongfeng Ma, Chenxiao Zhang, Lingqiao Qin, Na Chen
Intelligent vehicles passing through intersections in platoons have the potential to reduce speed fluctuations and improve traffic efficiency. This paper centers on the cooperative optimization of platooning behavior in urban fixed-time signalized intersection scenarios. It delves into the spatial group distribution characteristics of platoons within an intersection entrance lane and employs modeling
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Simulation of pedestrian interaction with autonomous vehicles via social force model Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-01-26 Md Mobasshir Rashid, MohammadReza Seyedi, Sungmoon Jung
Simulation of pedestrian motion in urban traffic networks is crucial for designing autonomous vehicle systems. In a mixed traffic system, a complex interaction occurs between a pedestrian and a vehicle. To understand this interaction pattern and evaluate traffic safety analysis, a simulation tool can be useful. It can help autonomous vehicle designers to visualize pedestrian and vehicle trajectory
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METS-R SIM: A simulator for Multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-01-17 Zengxiang Lei, Jiawei Xue, Xiaowei Chen, Xinwu Qian, Charitha Saumya, Mingyi He, Stanislav Sobolevsky, Milind Kulkarni, Satish V. Ukkusuri
We develop an agent-based simulator named METS-R SIM to support operational decisions for multi-modal shared autonomous vehicle (SAEV) services. Compared with existing traffic simulators, METS-R SIM offers several valuable features including: 1) A microscopic vehicle movement model for SAEV services, which allows us to explicitly model vehicular interactions and generate detailed speed and acceleration
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Comparative study of Gazebo and Unity 3D in performing a virtual pick and place of Universal Robot UR3 for assembly process in manufacturing Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-01-15 Guntur Danang Wijaya, Wahyu Caesarendra, Mohammad Iskandar Petra, Grzegorz Królczyk, Adam Glowacz
This paper presents a comparison literature study of two potential 3D robotic simulators i.e., Gazebo and Unity 3D to simulate a certain task. Apart of the literature review, the study also conducted a questionnaire survey collected from the robotics community and academia in the field of robotics. The objective of the literature study and the questionnaire is to gain an information related to the
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A multi-method simulation model to investigate the impact of sunflower seed segregation on silos Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-01-09 Louise Coetsee, Wilna L. Bean
The South African sunflower industry is considering transferring to a quality-based marketing system driven by an incentive. However, the ability of silos to offer necessary segregation services is critical in such a transition (Baker et al., 1997) and the silo industry is concerned about the negative impact segregation could have on operations and finances. This paper proposes a multi-method simulation
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Robust parameter design for 3D printing process using stochastic computer model Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-01-07 Chunfeng Ding, Jianjun Wang, Yiliu Tu, Xiaolei Ren, Xiaoying Chen
3D printing technology has been developing rapidly in recent years, but product quality control has become one of the main obstacles to its widespread use in manufacturing. A new stochastic computer model and robust optimization method are proposed for the highly fluctuating 3D printing process to improve the stability of the printed product quality. Firstly, the signal and noise are jointly modeled
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Telemetry-aided cooperative multi-agent online reinforcement learning for DAG task scheduling in computing power networks Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-01-05 Yunfeng Duan, Jingchun Li, Hao Sun, Fanqin Zhou, Jiaxing Chen, Tiandong Wu, Wenjing Li, Yuxing Fan
As demand for computing power and low latency in intelligence applications grows, the efficient management and coordination of resources in computing power networks become crucial. This paper presents a telemetry-aided multi-agent cooperation framework for DAG task scheduling in computing power networks. Utilizing distributed agents with network telemetry, the framework accurately assesses local network
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Autonomous locomotion mode transition in quadruped track-legged robots: A simulation-based analysis for step negotiation Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-01-05 Jie Wang, Krispin Davies
Hybrid track/wheel-legged robots combine the advantages of wheel-based and leg-based locomotion, granting adaptability across varied terrains through efficient transitions between rolling and walking modes. However, automating these transitions remains a significant challenge. In this paper, we introduce a method designed for autonomous mode transition in a quadruped hybrid robot with a track/wheel-legged
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Multi-time scale thermal tribological dynamics coupling model of the helicopter intermediate reducer under severe loss of lubrication Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-12-29 Fengxia Lu, Sunquan Mao, Xuechen Cao, Heyun Bao, Rupeng Zhu
There is no lubrication in the contact area, which leads to a significant influence of the thermal characteristics on the friction dynamics and life of the helicopter intermediate reducer because the helicopter experiences severe loss of lubrication. In this study, for evaluating the non-linear friction dynamics and transient thermal network models of the intermediate gearbox, a multi-time scale coupling
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Data center temperature prediction and management based on a Two-stage self-healing model Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-12-28 Wang Simin, Kang Yifei, Xu Yixuan, Ma Chunmiao, Wang Haitao, Wu Weiguo
While providing efficient and convenient cloud services, data center also brings great pressure to energy consumption and environment. The rise of server temperature not only increases the refrigeration cost, but also seriously affects the operation safety of the data center. Effective analysis and prediction of data center temperature is not only conducive to preventing server overheating and shutdown
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Digital Twin of the laser-DED process based on a multiscale approach Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-12-22 Sebastian Hartmann, Oihane Murua, Jon Iñaki Arrizubieta, Aitzol Lamikiz, Peter Mayr
The ramp-up of new geometries, process parameters, and materials can be enormously time and cost-intensive in Additive Manufacturing. Especially for Laser-Directed Energy Deposition (DED-L), the extreme physical environment at the melt pool results in the need for multiple trial-and-error tests to quantify the process behavior. These tests significantly raise manufacturing expenses. A Digital Twin
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A multi-physics coupling analysis to predict stress corrosion characteristics of wires in rope under wear damage Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-12-18 Gaofang Wang, Yuxing Peng, Zhencai Zhu, Xiangdong Chang, Hao Lu, Dagang Wang, Wei Tang, Kun Huang, Magd Abdel Wahab
To study the stress corrosion characteristics of wire with different wear conditions, namely depth, cross angle and length, Finite Element (FE) models of worn wires are developed based on multi-physics coupling analysis. The electromechanical parameters required for the FE simulations are determined from experimental testing. Then, the stress corrosion characteristics, i.e. stress, corrosion voltage
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A heterogeneous Social Force Model for Personal Mobility Vehicles on futuristic sidewalks Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-12-12 Alireza Jafari, Yen-Chen Liu
Electric scooters are becoming popular in public spaces, and autonomous robots will join soon. However, integrating these Personal Mobility Vehicles (PMV) without proper provisions challenges the safety and comfort of all users. While Social Force Model (SFM) commonly replicates pedestrians’ movements, directly applying it to PMVs is challenging and inaccurate. We propose a heterogeneous SFM considering
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An executable domain-specific modeling language for simulating organizational auction-based coordination strategies for crisis response Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-12-10 Samaneh Hoseindoost, Afsaneh Fatemi, Bahman Zamani
Emergency response environments in which the crisis occurs include many homogenous and heterogeneous entities, e.g., organizations and persons. These entities need to collaborate to address a crisis. However, most of the time, the organizations that are involved in a crisis suffer from communication and coordination problems. This may cause unfair resource distribution. To mitigate the problem, there
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A novel simulation based approach for user-based redistribution in bike-sharing system Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-12-05 Milan Mathew Thomas, Ashish Verma, Sai Kiran Mayakuntla, Aitichya Chandra
The increased demand for a safe, reliable, cost-effective, clean, and social distancing-friendly mode of commuting in the post-COVID world has motivated the transportation research community to closely analyse and optimise the operations of the existing Bike-Sharing Systems (BSS). One of the key elements in BSS operation is the redistribution of bicycles to cope with the spatiotemporal asymmetry in
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An efficient many-objective optimization algorithm for computation offloading in heterogeneous vehicular edge computing network Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-11-30 Xiaofei Wu, Shoubin Dong, Jinlong Hu, Zhidong Huang
Vehicular Edge Computing (VEC) provides flexible distributed computing paradigm for vehicular network through computation offloading. With the advent of a growing of modern vehicle applications, the challenge for VEC network to fulfill the expansive demands from various suppliers, users and environments is increasingly prominent. This paper formulates a many-objective computation offloading problem
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Semantic-based assembly framework for the generation of travel demand Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-11-29 Taha Osman, Gregory L. Albiston, Evtim Peytchev, Eiman Kanjo
This work applies a knowledge modelling approach in the design of a framework for the generation of travel demand for traffic simulation applications. The proposed framework is based on interchangeable modules that integrate the main stages of travel demand modelling supported by an engineered knowledge base. This approach is intended to promote greater behavioural diversity, incorporate more diverse
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Traffic microsimulation for road safety assessments of vehicle automation scenarios: Model comparison and sensitivity analysis Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-11-26 Stefano Coropulis, Nicola Berloco, Roberta Gentile, Paolo Intini, Vittorio Ranieri
The possible implementation of Automated Vehicles (AVs) in the traffic flow implies that future safety conditions should be assessed by considering promiscuous traffic scenarios (composed of traditional vehicles and AVs). However, real safety performance data related to AVs are still scarce and unreliable. Thus, road safety assessments of future scenarios should necessarily be based on traffic simulations
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A novel dynamic heat-flow coupled model under spray lubrication for high-speed gears: CFD simulation and experimental validation Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-11-24 Zizhen Qiao, Changjiang Zhou, Jie Su, Xinghe Jiang
This paper proposes a novel heat-flow coupled model under spray lubrication to investigate the heat dissipation for high-speed gears. The heat flux is solved considering the dynamic loads and is imposed on the heat-flow coupled model boundary. The loading path performed from two steps (intermittent and spatial discretization). The gear heat dissipation under spray lubrication is validated by a thermal
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MC-reduction simulation approach with heuristic rules for reliability estimation in a multi-state flow network Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-11-22 Ping-Chen Chang, Cheng-Fu Huang, Ding-Hsiang Huang
The system reliability of a multistate flow network (MSFN) holds significant importance as a critical indicator for assessing the probability of successfully transmitting a given demand. It is recognized that evaluating the system reliability of an MSFN presents a challenge due to its NP-hard property. Hence, the paper introduces a novel simulation approach based on minimal cuts (MCs) to estimate the
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Modelling and simulation of interaction forces in tugboat-assisted docking of large marine vessels Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-11-22 Raymond Kristiansen, Henning Levik Ørke, Jan Tommy Gravdahl
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Zone-Based Stable and Secure Clustering Technique for VANETs Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-11-16 Shivani Sharma, Sateesh Kumar Awasthi
Vehicular Ad-hoc Network (VANET) is a pivotal element of the Intelligent Transportation System (ITS) and has gained significant attention in both academia as well as in the industry. The driving experience has been improved with the deployment of VANETs in the transportation system. In this scenario, accurate real-time traffic information is required to be forwarded to the correlated vehicles using
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HEPGA: A new effective hybrid algorithm for scientific workflow scheduling in cloud computing environment Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-11-19 Hind Mikram, Said El Kafhali, Youssef Saadi
Cloud data center comprises various physical and virtual machines, alongside storage datacenter services provided by cloud providers. Effectively mapping tasks to optimize resource utilization and load balance is essential for efficient task scheduling. This process, referred to as scheduling constraints, can significantly enhance overall efficiency. However, to harness the benefits of this scheduling
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A data-driven agent-based simulation of the public bicycle-sharing system in Sejong city Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-11-07 Jang Won Bae, Chun-Hee Lee, Jeong-Woo Lee, Seon Han Choi
In this study, we propose a data-driven agent-based model for simulating Eoulling, the public bicycle-sharing systems (PBSSs) in Sejong City, the administrative capital of South Korea. Most existing models for PBSSs based on top-down approaches have limitations in reflecting Eoulling users’ behavioral characteristics and analyzing their convenience. Unlike these, the proposed model is based on a bottom-up
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The influence of Volumetric Energy Density on the mechanical behavior of PA12 parts produced by Powder Bed Fusion: An experimental and numerical study Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-11-10 Emmanouil L. Papazoglou, Panagiotis Karmiris-Obratański, Nikolaos E. Karkalos, Angelos P. Markopoulos
Powder Bed Fusion (PBF) consists of a widely used and very promising Additive Manufacturing (AM) method, which is typically employed in the process of polymer and polymer-based materials. Polyamide 12 (PA12), due to its inherent properties, finds several applications in various industries, including aerospace, medical and automotive, while it is the most commonly applied polymer for this PBF AM method
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Research on flow scheduling of train communication based on time-sensitive network Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-11-08 Tiexiang Liu, Deqiang He, Zhenzhen Jin, Sheng Shan, Yanjun Chen, Qilin Chen
The rapid development of intelligent rail transportation equipment is raising higher requirements for the real-time performance of Train Communication Network (TCN) data transmission. Time-Sensitive Network (TSN) has gained widespread attention in train communication due to its advantages of high transmission rates and deterministic latency. Firstly, for addressing the flow scheduling problem in TSN
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Numerical study on rock fracturing with pulsed pressure in hard rocks with a pipe-domain seepage model Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-11-07 Chong Shi, Junbao Pian, Cong Zhang, Xiao Chen, Yonggang Zhang
The disintegration process and the fracture propagation degree in rock masses under pulsed pressure are of great interest to the engineering community. This study presents a novel numerical simulation method for pulsed pressure-induced rock fractures based on the stress analysis in the elastic medium and the use of the boundary conditions with internal and external pressures. To enclose the particles
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Integrating OpenAI Gym and CloudSim Plus: A simulation environment for DRL Agent training in energy-driven cloud scaling Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-31 Siti Nuraishah Agos Jawaddi, Azlan Ismail
Experimentation in real cloud environments for training Deep Reinforcement Learning (DRL) agents can be costly, time-consuming, and non-repeatable. To overcome these limitations, simulation-based approaches are promising alternatives. This paper introduces a specialized simulation environment that integrates OpenAI Gym, a popular platform for reinforcement learning, with CloudSim Plus, a versatile
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Simulation-based optimization of timetables coordination in an urban rail transit network Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-31 Yujie Zhang, Haifeng Yan, Yongji Luo, Shoushuai Zhang, Lei Zhu, Yushi Tang
Synchronous optimization of train timetables is to solve the problem of train service coordination among different lines in the urban rail transit network, which can reduce passenger waiting time and subsequently enhance passenger satisfaction. This paper develops an efficient simulation system to reproduce the train operation of an urban rail network. It takes into account the realistic characteristics
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Numerical investigation on optimal blasting parameters of tunnel face in granite rock Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-28 Junwei Zhang, Zhongwei Chen, Kang Shao
Overbreak induced by drill and blast method occurs during rock tunnelling. In this study, the performance of three constitutive models for rock material (Riedel-Hienmaier-Thoma, Homlquist-Johnson-Cook, and plastic kinematic models) in simulation of blast-induced rock cracks was investigated, to improve the accuracy of the numerical simulation. The results indicate that the two conventional blast-induced
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A multi-agent simulation based train platforming research for facilitating passenger transfer in a high-speed railway station Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-28 Hongxiang Zhang, Miao Guo, Liuyang Hu, Gongyuan Lu
The train platforming problem is one of the most investigated topics in the train operation field. However, a systematic understanding of how train platforming improves the convenience of passenger transfer procedures is still lacking. To face the rapidly growing transfer demands in the high-speed railway station, this paper proposes a transfer-facilitating-oriented train platforming approach based
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Agent-based modeling and simulation for 5G and beyond networks : A comprehensive survey Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-27 Joshua Shakya, Chaima Ghribi, Leila Merghem-Boulahia
Modeling and simulation of telecommunication networks have captivated significant inter-disciplinary attention, notably since the release of the fifth-generation (5G) technology and the heavy public interest associated with its Non-Standalone (NSA) and eventual Standalone (SA) architecture deployment. However, 5G and beyond (5G+) network simulation is rather challenging as the complexity of networks
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A queuing evacuation model with yielding behavior Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-17 Wenhang Li, Yi Li, Ping Yu, Jianhua Gong, Lin Huang, Haonan Ma
A new super queue model with yielding behavior is proposed to model the orderly evacuation process of young pupils in a classroom building. A super queue is composed of a super leader and several simple queues. Based on this, a leader-follower model is proposed to model the orderly behavior between pupils in a super queue, and an exclusive channel model is proposed to model the yielding behavior between
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PPDF-FedTMI: A Federated Learning-based Transport Mode Inference Model with Privacy-Preserving Data Fusion Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-11 Qihan Huang, Jing Zhang, Zuanyang Zeng, Ding He, Xiucai Ye, Yi Chen
Mobile Crowd-Sensing (MCS) represents a distributed data fusion system that aggregates diverse sources to enhance inference capabilities beyond any single input. As an essential application in MCS, intelligent transportation system deploys a large number of Transport Mode Inference (TMI) models. However, robust TMI models necessitates large trajectories datasets, engendering significant privacy risks
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A new method for multi-state flow networks reliability estimation based on a Monte Carlo simulation and intersections of sets Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-13 Paweł Marcin Kozyra
The problem of the assessment of a multi-state flow network reliability can be very time-consuming, especially for large networks. Simulation approaches alleviate this problem by generating random capacity vectors and comparing them with d-MPs or d-MCs, for estimation of network reliability. In this study, a new approach to compare randomly generated vectors with a given list of vectors is developed
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Curiosity-tuned experience replay for wargaming decision modeling without reward-engineering Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-05 Liwei Dong, Ni Li, Guanghong Gong
Reinforcement Learning (RL) has become a promising technique to deal with the tough decision modeling problem in the wargaming field. However, to deploy current RL algorithms requires reward-engineering scenario by scenario, which is laborious for massive wargaming scenarios. To tackle this issue, this paper proposes an improved RL method, curiosity-tuned experience replay (CTER), which allows the
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Models, algorithms, and equilibrium conditions for the simulation of autonomous vehicles in exclusive and mixed traffic Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-01 Mariano Gallo
This paper proposes models and algorithms for the estimation of traffic flows generated by the centralised management of autonomous vehicles under exclusive and mixed traffic conditions. It is assumed that the autonomous vehicle manager wants to obtain the system optimum that minimises the total travel time on the network, of autonomous vehicles in the case of exclusive traffic, and of all flows in
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A fine discrete floor field cellular automaton model with natural step length for pedestrian dynamics Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-06 Sensen Xing, Cheng Wang, Wei Wang, Rui Feng Cao, Anthony Chun Yin Yuen, Eric Wai Ming Lee, Guan Heng Yeoh, Qing Nian Chan
This paper proposes an extended floor field cellular automaton (FFCA) model for evacuation simulations, which integrates the natural step length into pedestrian movement. The model enables pedestrians to occupy multiple grids and extends the interaction area to a disk with a radius determined by the natural step length. These modifications facilitate pedestrian movement in various directions, limited
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Real-time evacuation route optimization in the fire scenarios of cruise ships Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-06 Linfan Liu, Huajun Zhang, Jun Shi, Jianning Geng
The optimization of evacuation routes for evacuees in fire scenarios on cruise ships directly affects evacuation efficiency. A time-varying equivalent weight Dijkstra algorithm (TVEWDA) is proposed, combining a fire dynamics simulator (FDS) to find optimal evacuation routes in case of a sudden cruise ship fire. First, the FDS software is used to simulate a cruise ship's single and multi-source fire
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A data assimilation method for blast load prediction Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-02 Minghua Lin, Baiquan Lin, Wei Yang, Yang Shen, Xiangliang Zhang, Tong Liu, Ting Liu, Fei Lin, Guang Xia
Blast load is a crucial parameter in blasting construction design and numerical simulation. However, it is characterized by dense energy, high loading rate and complex action process, which makes its accurate measurement difficult. In this study, based on experimental data-driven physical simulation, a data assimilation method for blast load prediction was proposed by integrating PFC2D software and
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An assets maintenance-workforce planning problem under uncertainty: A chance constraints assisted simulation-optimization approach Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-10-01 Amany M. Akl, Humyun Fuad Rahman, Ripon K. Chakrabortty, Sondoss El Sawah
Preventive and corrective maintenance-workforce planning for assets is a growing area of research, given the presence of uncertainty. We model a Simulation-Optimization framework to solve this challenging large-scale maintenance-workforce planning problem while considering its stochastic nature inside both the simulation and optimization models. A holistic simulation model is proposed through multiple
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Design and simulation of a greenhouse in a computational environment (ANSYS/FLUENT) and an automatic control system in a LABVIEW environment Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-09-23 Angeliki Kavga, Vasileios Thomopoulos, Evangelos Pischinas, Dimitris Tsipianitis, Pantelis Nikolakopoulos
Greenhouses have been used to increase agricultural production. With the development of technology, they can now be automated. Many studies have been done on the automatic control of their microclimate, from intelligent control systems to Computational Fluid Dynamics (CFD) analyses, with the main purpose of optimal control of the microclimate and at the same time saving energy. This research concerns
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An alternative solution to congestion relief of U.S. seaports by container-on-barge: A simulation study Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2023-09-18 Fan Bu, Jingming Liu, Haitao Liao, Heather Nachtmann
Port congestion has become a big challenge for many seaports in the United States (U.S.). There are multiple factors contributing to port congestion, such as the booming market of international container trading, limited space and capacity at a seaport, labor shortages, equipment failures, and supply chain disruptions (e.g., COVID-19 pandemic). Without appropriate management, port congestion will increase