On the performance and scalability of an HPC enhanced Multi Agent System based evacuation simulator

Aguilar, Leonel; Wijerathne, Lalith; Ichimura, Tsuyoshi; Hori, Muneo

doi:10.1016/j.procs.2017.05.284

Cited by 14 publications

(7 citation statements)

References 4 publications

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“…The models typically illustrate the phenomena using a selected algorithm; for example, pathfinding to shelters was frequently examined using Dijkstra’s method. Few models focus on specific issues, such as exploration of COVID transmission during a tsunami evacuation in the lockdown of the city (Callejas et al 2020 ) or exploration of the performance and scalability of an agent-based mass tsunami evacuation simulation within high-performance and distributed computing (Aguilar et al 2017 ).…”

Section: Discussionmentioning

confidence: 99%

“…Only 5 of the 53 papers were accompanied by source code (Aguilar et al 2017 ; Nakanishi et al 2020 ; Naqvi 2017 ; Slucki and Nielek 2015 ; Wijerathne et al 2013 ) and only one pseudocode (Poulos et al 2018 ) was found. This means that approximately 90% of the models are virtually impossible to replicate and the published results cannot therefore be at least quantitatively verified.…”

Section: Technical Properties Of Abm Modelsmentioning

confidence: 99%

“…In 42 of the selected papers, experiments are presented, and only in 7 they are not; in addition, in only 2 of the papers are the final results given (Aguilar et al 2017 ; Alam and Habib 2020 ), and the final 2 describe the results briefly or in general (Mas et al 2015 ; Slucki and Nielek 2015 ) (Table 4 ).…”

Section: Technical Properties Of Abm Modelsmentioning

confidence: 99%

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Agent-based models of human response to natural hazards: systematic review of tsunami evacuation

et al. 2022

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This systematic review provides a comprehensive overview of tsunami evacuation models. The review covers scientific studies from the last decade (2012–2021) and is explicitly focused on models using an agent-based approach. The PRISMA methodology was used to analyze 171 selected papers, resulting in over 53 studies included in the detailed full-text analysis. This review is divided into two main parts: (1) a descriptive analysis of the presented models (focused on the modeling tools, validation, and software platform used, etc.), and (2) model analysis (e.g., model purpose, types of agents, input and output data, and modeled area). Special attention was given to the features of these models specifically associated with an agent-based approach. The results lead to the conclusion that the research domain of agent-based tsunami evacuation models is quite narrow and specialized, with a high degree of variability in the model attributes and properties. At the same time, the application of agent-specific methodologies, protocols, organizational paradigms, or standards is sparse. Supplementary Information The online version contains supplementary material available at 10.1007/s11069-022-05643-x.

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Section: Discussionmentioning

confidence: 99%

Section: Technical Properties Of Abm Modelsmentioning

confidence: 99%

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Agent-based models of human response to natural hazards: systematic review of tsunami evacuation

et al. 2022

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“…A DT [9] provides a platform on which cities can become really smart by shifting attention from data collection to data use. Here, a digital representation of the city allows for modelling and predicting its ever-changing state via simulations [10][11][12][13][14]. Unfortunately, until now, the virtual and Physical Environments of cities remain insufficiently interconnected [15].…”

Section: Introductionmentioning

confidence: 99%

The Hitchhiker’s Guide to Fused Twins: A Review of Access to Digital Twins In Situ in Smart Cities

et al. 2022

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Smart Cities already surround us, and yet they are still incomprehensibly far from directly impacting everyday life. While current Smart Cities are often inaccessible, the experience of everyday citizens may be enhanced with a combination of the emerging technologies Digital Twins (DTs) and Situated Analytics. DTs represent their Physical Twin (PT) in the real world via models, simulations, (remotely) sensed data, context awareness, and interactions. However, interaction requires appropriate interfaces to address the complexity of the city. Ultimately, leveraging the potential of Smart Cities requires going beyond assembling the DT to be comprehensive and accessible. Situated Analytics allows for the anchoring of city information in its spatial context. We advance the concept of embedding the DT into the PT through Situated Analytics to form Fused Twins (FTs). This fusion allows access to data in the location that it is generated in in an embodied context that can make the data more understandable. Prototypes of FTs are rapidly emerging from different domains, but Smart Cities represent the context with the most potential for FTs in the future. This paper reviews DTs, Situated Analytics, and Smart Cities as the foundations of FTs. Regarding DTs, we define five components (physical, data, analytical, virtual, and Connection Environments) that we relate to several cognates (i.e., similar but different terms) from existing literature. Regarding Situated Analytics, we review the effects of user embodiment on cognition and cognitive load. Finally, we classify existing partial examples of FTs from the literature and address their construction from Augmented Reality, Geographic Information Systems, Building/City Information Models, and DTs and provide an overview of future directions.

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“…HPC, which has been improved based on Moore's law and massively parallel architectures, helps realize large-scale and complex calculations of social phenomena. For example, [1] showed the possibility of city-wide evacuation simulation, including the walking behaviors of individuals, using supercomputers. With the use of such HPC, we can develop full-scale simulations, including those of the behaviors of individual humans.…”

Section: Introductionmentioning

confidence: 99%

Roadmap and research issues of multiagent social simulation using high-performance computing

et al. 2017

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In this article, we present roadmaps and research issues pertaining to multiagent social simulation to illustrate the directions of technological achievements in that domain. Compared with physical simulation, social simulation is still in the phase of establishing simulation models. We focus on four issues, namely ''undetermined model'', ''awareness effects'', ''obscure boundary'', and ''incomplete data'', and consider ways to overcome these issues using the massive computational power of high-performance computing. We select three applications, namely evacuation, road traffic, and market, and estimate the required computational cost of real applications. Moreover, we investigate research issues on the application side and categorize possible future works on multiagent social simulations.

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On the performance and scalability of an HPC enhanced Multi Agent System based evacuation simulator

Cited by 14 publications

References 4 publications

Agent-based models of human response to natural hazards: systematic review of tsunami evacuation

Agent-based models of human response to natural hazards: systematic review of tsunami evacuation

The Hitchhiker’s Guide to Fused Twins: A Review of Access to Digital Twins In Situ in Smart Cities

Roadmap and research issues of multiagent social simulation using high-performance computing

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