A Study on the Population Distribution Prediction in Large City using Agent-Based Simulation

Kim, Bumho; Lim, Chunghun; Lee, Seong-Ho; Jung, YungJoon

doi:10.23919/icact51234.2021.9370797

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Meanwhile, the increasing demand for using the digital twin concept for urban planning is evident as featured in (Dembski et al, 2020b;B. Kim et al, 2021;Mohammadi & Taylor, 2017;White et al, 2021).…”

Section: Theme: Digital Twinmentioning

confidence: 99%

Digital Twin for Indoor Disaster in Smart City: A Systematic Review

Shaharuddin

Maulud

Rahman³

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Technology has advanced and progressed tremendously, and the term city is being elevated to a new level where the smart city has been introduced globally. Recent developments in the concept of smart city have led to a renewed interest in Digital Twin. Using precise Building Information Modelling (BIM) consolidated with big data and sensors, several attempts have been made to establish digital twin smart cities. In recent years, several researchers have sought to determine the capability of smart city and digital twin for various taxonomies such as development and urban planning purposes, built environment, manufacturing, environmental, disaster management, and healthcare. Despite being beneficial in many disciplines, especially in manufacturing, built environment, and urban planning, these existing studies have shown a lack of aspect in terms of emergency or disaster-related as opposed to the elements mentioned above. This is because the researcher has not treated emergencies or disasters in much detail. Therefore, an extensive review on smart city, digital twin, BIM and disaster management and technology that revolves around these terms were summarised. In general, 39 articles from prominent multidisciplinary databases were retrieved over the last two decades based on the suggested PRISMA workflow. These final articles were analysed and categorised into four themes based on the research content, gist, and keywords. Based on the review of 39 articles related to smart city, digital twin and BIM, a workflow for the smart city digital twin and the conceptual framework for indoor disaster management was proposed accordingly. The establishment of smart city digital twins solely for an indoor emergency can be beneficial to urbanites, and it could provide numerous benefits for enhanced situation assessment, decision making, coordination, and resource allocation.

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Section: Theme: Digital Twinmentioning

confidence: 99%

Digital Twin for Indoor Disaster in Smart City: A Systematic Review

Shaharuddin

Maulud

Rahman³

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Social simulations: Various scenarios regarding human interactions and the behaviors of whole communities [60][61][62]; academia simulations, including e-learning [63] and cooperative learning [64]; • Mobility simulations: Traffic situations, such as the avoidance of traffic jams, light control, and route choice [65,66]; ground transportation, mobility planning systems, and urban planning based on accessibility studies with dynamic populations [67]; microscopic pedestrian crowds [68]; and mapping passenger flow for market improvement, evacuation of buildings, and flight or air-traffic control in aviation [69]; • Physical entities: Robots and self-driving vehicles (cars, drones) seen as agents [70][71][72]; • Environment and ecosystems: Simulations in ecology [73,74] and biology, climate models, human and nature interaction (sometimes using geographic information systems), and epidemiology (spread of infections or diseases) [75,76] Entertainment: Rendering large-scale battles in movies [89], the video games industry [90,91], and motion capturing [92]; • Distributed computing: Allocating and negotiating resources in cloud computing [93,94] and communication in weakly connected clusters [95]; • Coordination systems: Coordination of hardware [96] and software [97][98][99] agents.…”

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confidence: 99%

Overview of Software Agent Platforms Available in 2023

et al. 2023

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Agent-based computing remains an active field of research with the goal of building (semi-)autonomous software for dynamic ecosystems. Today, this task should be realized using dedicated, specialized frameworks. Over almost 40 years, multiple agent platforms have been developed. While many of them have been “abandoned”, others remain active, and new ones are constantly being released. This contribution presents a historical perspective on the domain and an up-to-date review of the existing agent platforms. It aims to serve as a reference point for anyone interested in developing agent systems. Therefore, the main characteristics of the included agent platforms are summarized, and selected links to projects where they have been used are provided. Furthermore, the described platforms are divided into general-purpose platforms and those targeting specific application domains. The focus of the contribution is on platforms that can be judged as being under active development. Information about “historical platforms” and platforms with an unclear status is included in a dedicated website accompanying this work.

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