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Energy efficient Security Driven Scheduling for Real-Time Tasks through DVS-enabled Fog Networks Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-04-16 Surendra Singh
The issue of task scheduling for a multi-core processor in Fog networks, with a focus on security and energy efficiency is of great importance in real-time systems. Currently, scheduling algorithms designed for cluster computing environments utilize dynamic voltage scaling (DVS) to decrease CPU power consumption, albeit at the expense of performance. This problem becomes more pronounced when a real-time
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Study on the rigid-discrete coupling effect of scraper conveyor under different chain speed-load conditions Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-04-11 Haozhou Ma, Peng Zhang, Yingwei Dong, Xuewen Wang, Rui Xia, Bo Li
The complexity of the underground environment in coal mines often leads to varying load conditions during the operation of the scraper conveyor, which can affect the lifespan of its components and result in unnecessary energy consumption. A test platform for the scraper conveyor was constructed based on the similarity theory to measure torque, speed, chain tension, and scraper acceleration during transportation
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Modeling and simulation of services computing✰ Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-04-10 Helen D. Karatza
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An iterative method to improve the calibration accuracy of flat-joint models: Catch-up penalty algorithm Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-04-10 Zilong Yang, Yong Hu, Mingxu Xu, Jiyu Tian, Hao Pang, Xiangyang Liu
Parameter calibration is a critical step in accurately modeling using the discrete element method (DEM), but the time-consuming and complex calibration process limits the practical utilization of DEM. Herein, a catch-up penalty algorithm was proposed to simultaneously adjust multiple micro parameters of the flat-joint model through iterations. The effect of micro parameters on macro parameters was
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A methodology for performance estimation of bot-based applications for natural disasters Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-04-05 Luis Veas-Castillo, Juan Ovando-Leon, Carolina Bonacic, Veronica Gil-Costa, Mauricio Marin
Natural disasters drastically impact the society, causing emotional disorders as well as serious accidents that can lead to death. These kinds of disasters cause serious damage in computer and communications systems, due to the complete or partial destruction of the infrastructure, causing software applications that actually run on those infrastructures to crash. Additionally, these software applications
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Enhanced microsimulation framework for right-turning vehicle-pedestrian interactions at signalized intersection Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-04-02 Xu Chen, Siyu Li, Wenzhang Yang, Yujia Chen, Hao Wang
The unclear understanding of right-turning vehicle behavior at signalized intersections complicates the interaction with pedestrians. Current micro-dynamic modeling research falls short of effectively simulating this complexity. Specifically, the existing models fail to adequately capture the three states that right-turning vehicles may undergo: car-following, free right-turn, and avoidance of conflicting
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Emergency fire evacuation simulation of underground commercial street Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-03-23 Xiaojuan Li, Rixin Chen, Yueyue Zhu, C.Y. Jim
High-density built-up areas in cities often enlist the underground realm to provide solution space for transport, shopping and other purposes. The special location, layout, and accessibility of underground structures often generate unique and acute safety-risk concerns. They are inadequately understood and managed and cannot be tackled appropriately by conventional risk assessment and abatement methods
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An improved time advance method for distributed multi-resolution modelling with interactive deviation characterization Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-03-20 Wenjia Zhang, Heming Zhang, Wenzheng Liu
Multi-resolution modelling (MRM) has been increasingly applied in engineering practice. While in a distributed simulation environments, time advance method for MRM is less studied. When the system is running in a relatively low-resolution status, it usually adopts basic time advance modes to save simulation resources. However, these basic modes usually suffer from inaccurate response of interactions
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Multi-objective Service Function Chain placement in 5G cellular networks based on meta-heuristic approach Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-03-20 Diego de Freitas Bezerra, Guto Leoni Santos, Élisson da Silva Rocha, André Moreira, Djamel F.H. Sadok, Judith Kelner, Glauco Estácio Gonçalves, Amardeep Mehta, Maria Valéria Marquezini, Patricia Takako Endo
With the emergence of new applications driven by the popularization of mobile devices, the next generation of mobile networks faces challenges to meet different requirements. Virtual Network Functions (VNFs) have been deployed to minimize operational costs and make network management more flexible. In this sense, strategies for VNF placement can impact different metrics of interest. Invoking and visiting
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Optimizing serverless computing: A comparative analysis of multi-output regression models for predictive function invocations Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-03-16 Mustafa Daraghmeh, Anjali Agarwal, Yaser Jararweh
In the rapidly evolving domain of serverless computing, the need for efficient and accurate predictive methods of function invocation becomes paramount. This study introduces a comprehensive suite of innovations to improve the predictability and efficiency of function invocation within serverless architectures. By employing multi-output regression models, we perform a multi-level analysis of function
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Coupled simulation-optimization model for pedestrian evacuation guidance planning Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-03-16 Botao Zhang, Jacqueline TY Lo, Hongqiang Fang, Chuanzhi Xie, Tieqiao Tang, Siuming Lo
Effective evacuation guidance can guarantee people's safety by facilitating their swiftly exit hazardous areas during an emergency. However, pre-determined guidance plans based solely on distance comparisons to exits may not always be the most effective due to unstable accessibility conditions and uneven crowd distribution. Therefore, it is imperative to incorporate real-time optimal guidance information
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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
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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
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A dynamic simulation framework based on hybrid modeling paradigm for parallel scheduling systems in warehouses Simul. Model. Pract. Theory (IF 4.2) Pub Date : 2024-03-07 YuQin Zeng, WenBing Li, ChangHai Li
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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
Several scenarios that use the Internet of Drones (IoD) networks require a Fog paradigm, where the Fog devices, provide time-sensitive functionality such as task allocation, scheduling, and resource optimization. The problem of efficient task allocation/scheduling is critical for optimizing Fog-enabled Internet of Drones performance. In recent years, many articles have employed meta-heuristic approaches
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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
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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 G. 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
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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