Bibliographies thématiques / Pedestrian dynamics, crowd, agent-based approach, simulation

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Littérature scientifique sur le sujet « Pedestrian dynamics, crowd, agent-based approach, simulation »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Pedestrian dynamics, crowd, agent-based approach, simulation"

Hayashida, Tomohiro, Shinya Sekizaki, Yushi Furuya, and Ichiro Nishizaki. "ACS2-Powered Pedestrian Flow Simulation for Crowd Dynamics." AppliedMath 5, no. 3 (2025): 88. https://doi.org/10.3390/appliedmath5030088.

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Pedestrian flow simulations play a pivotal role in urban planning, transportation engineering, and disaster response by enabling the detailed analysis of crowd dynamics and walking behavior. While physical models such as the Social Force model and Boids have been widely used, they often struggle to replicate complex inter-agent interactions. On the other hand, reinforcement learning (RL) methods, although adaptive, suffer from limited interpretability due to their opaque policy structures. To address these limitations, this study proposes a pedestrian simulation framework based on the Anticipa

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Li, Liang, Hong Liu, and Yanbin Han. "An approach to congestion analysis in crowd dynamics models." Mathematical Models and Methods in Applied Sciences 30, no. 05 (2020): 867–90. http://dx.doi.org/10.1142/s0218202520500177.

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This paper presents a novel approach to quantitatively analyzing pedestrian congestion in evacuation management based on the Hughes and social force models. An accurate analysis of crowds plays an important role in illustrating their dynamics. However, the majority of the existing approaches to analyzing pedestrian congestion are qualitative. Few methods focus on the quantification of the interactions between crowds and individual pedestrians. According to the proposed approach, analytic tools derived from theoretical mechanics are applied to provide a multiscale representation of such interac

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Abdelghany, Ahmed, Hani Mahmassani, Khaled Abdelghany, Hasan Al-Ahmadi, and Wael Alhalabi. "Incidents in high-volume elongated crowd facilities: A simulation-based study." SIMULATION 95, no. 9 (2018): 823–43. http://dx.doi.org/10.1177/0037549718794882.

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This paper presents the main findings of a simulation-based study to evaluate incidents in pedestrian/crowd tunnels and similar elongated confined facilities, with high-volume heterogeneous traffic. These incidents, when occur, imposes hazardous conditions that always result in significant number of fatalities. The aim of this study is to understand how these facilities perform under different irregular scenarios and possibly identify potential causes of accidents. The problem of studying incidents in large-scale high-volume pedestrian facilities is that these incidents are difficult to expect

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Kim, Daewa, Kaylie O’Connell, William Ott, and Annalisa Quaini. "A kinetic theory approach for 2D crowd dynamics with emotional contagion." Mathematical Models and Methods in Applied Sciences 31, no. 06 (2021): 1137–62. http://dx.doi.org/10.1142/s0218202521400030.

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In this paper, we present a computational modeling approach for the dynamics of human crowds, where the spreading of an emotion (specifically fear) has an influence on the pedestrians’ behavior. Our approach is based on the methods of the kinetic theory of active particles. The model allows us to weight between two competing behaviors depending on fear level: the search for less congested areas and the tendency to follow the stream unconsciously (herding). The fear level of each pedestrian influences their walking speed and is influenced by the fear levels of their neighbors. Numerically, we s

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Wirth, Ervin, and György Szabó. "Overlap-avoiding Tickmodel: an Agent- and GIS-Based Method for Evacuation Simulations." Periodica Polytechnica Civil Engineering 62, no. 1 (2017): 72. http://dx.doi.org/10.3311/ppci.10823.

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Evacuation simulation is a method to determine evacuation times for areas, buildings, or vessels. It is based on the simulation of crowd dynamics and pedestrian motion; in this paper, we investigated the evacuation characteristics with a new motion model. The motion model and modeling space were implemented in an agent-based environment. The model is simple and generally applicable, it navigates the agent towards the destinations (safe zones) in a mixed macro-micro approach. The simulations were tested in a geospatially modeled lecture hall of the Budapest University of Technology and Economic

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Mitrovic, Tanja, Vesna Stojakovic, and Milica Vracaric. "Simulation of pedestrian accessibility to assess the spatial distribution of urban amenities." Spatium, no. 00 (2022): 2. http://dx.doi.org/10.2298/spat210429002m.

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A city can be perceived as a framework for the everyday activities of its residents, whose movements create complex network patterns as consequences of their individual decisions. Given that there are apparent differences in the use of urban amenities among residents of different ages, we examined the spatial distribution of urban amenities with regard to the preferences of various age groups and the pedestrian accessibility of amenities. In this paper, we propose an algorithm for detecting the most favorable combinations for the spatial distribution of urban amenities, in order to minimize th

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Colombi, A., and M. Scianna. "Modelling human perception processes in pedestrian dynamics: a hybrid approach." Royal Society Open Science 4, no. 3 (2017): 160561. http://dx.doi.org/10.1098/rsos.160561.

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In this paper, we present a hybrid mathematical model describing crowd dynamics. More specifically, our approach is based on the well-established Helbing-like discrete model, where each pedestrian is individually represented as a dimensionless point and set to move in order to reach a target destination, with deviations deriving from both physical and social forces. In particular, physical forces account for interpersonal collisions, whereas social components include the individual desire to remain sufficiently far from other walkers (the so-called territorial effect). In this respect, the rep

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Alqurashi, Raghda, and Tom Altman. "Hierarchical Agent-Based Modeling for Improved Traffic Routing." Applied Sciences 9, no. 20 (2019): 4376. http://dx.doi.org/10.3390/app9204376.

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Agent-based model (ABM) simulation is a bottom–up approach that can describe the phenomena generated from actions and interactions within a multiagent system. An ABM is an improvement over model simulations which only describe the global behavior of a system. Therefore, it is an appropriate technology to analyze emergent phenomena in social sciences and complex adaptive systems such as vehicular traffic and pedestrian crowds. In this paper, a hybrid agent-based modeling framework designed to automate decision-making processes during traffic congestion is proposed. The model provides drivers wi

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Lohner, R., Muhammad Baqui, Eberhard Haug, and Britto Muhamad. "Real-time micro-modelling of a million pedestrians." Engineering Computations 33, no. 1 (2016): 217–37. http://dx.doi.org/10.1108/ec-02-2015-0036.

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Purpose – The purpose of this paper is to develop a first-principles model for the simulation of pedestrian flows and crowd dynamics capable of computing the movement of a million pedestrians in real-time in order to assess the potential safety hazards and operational performance at events where many individuals are gathered. Examples of such situations are sport and music events, cinemas and theatres, museums, conference centres, places of pilgrimage and worship, street demonstrations, emergency evacuation during natural disasters. Design/methodology/approach – The model is based on a series

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Alrashed, Mohammed, and Jeff Shamma. "Agent Based Modelling and Simulation of Pedestrian Crowds in Panic Situations." Collective Dynamics 5 (August 12, 2020): A100. http://dx.doi.org/10.17815/cd.2020.100.

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The increasing occurrence of panic stampedes during mass events has motivated studying the impact of panic on crowd dynamics. Understanding the collective behaviors of panic stampedes is essential to reducing the risk of deadly crowd disasters. In this work, we use an agent-based formulation to model the collective human behavior in such crowd dynamics. We investigate the impact of panic behavior on crowd dynamics, as a specific form of collective behavior, by introducing a contagious panic parameter. The proposed model describes the intensity and spread of panic through the crowd. The corresp

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Thèses sur le sujet "Pedestrian dynamics, crowd, agent-based approach, simulation"

MANENTI, LORENZA ALESSANDRA. "Agent-based proxemic dynamics: crowd and groups simulation." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2013. http://hdl.handle.net/10281/42374.

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Considering the general overview on the Pedestrian Dynamics area, this thesis is focused in the area of pedestrian dynamics simulation, with the goal to study the phenomenon of groups as constitutive elements that compose a crowd, analyzing if their presence influences the dynamics of pedestrian flow and evaluating the impact of their contribution.

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Alrashed, Mohammed. "Control Theoretic Approaches to Computational Modeling and Risk Mitigation for Large Crowd Management." Diss., 2020. http://hdl.handle.net/10754/665965.

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We develop a computational framework for risk mitigation in high population density events. With increased global population, the frequency of high population density events is naturally increased. Therefore, risk-free crowd management plans are critical for efficient mobility, convenient daily life, resource management and most importantly mitigation of any inadvertent incidents and accidents such as stampedes. The status-quo for crowd management plans is the use of human experience/expert advice. However, most often such dependency on human experience is insufficient, flawed and results in i

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Chapitres de livres sur le sujet "Pedestrian dynamics, crowd, agent-based approach, simulation"

Xue Zhuxin, Fan Xiangtao, Jin Qingwen, Jian Hongdeng, and Liu Jian. "A Fuzzy Logic-Based Model for Heterogeneous Pedestrian Dynamical Behaviors." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-828-0-238.

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A number of approaches have been presented to simulate heterogeneous pedestrian dynamical behaviors. However, most of the existing models are developed based on the assumption that the perception and decision-making of human in real time can be described using precise values. In this paper, a new approach which incorporates personality trait model with fuzzy logic theory to generate heterogeneous crowd behaviors is proposed. To reveal the influence of individual personality traits in crowd behaviors, we establish a model based on multi-agent system in which each virtual human is referred to as

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Schadschneider, Andreas, Hubert Klüpfel, Tobias Kretz, Christian Rogsch, and Armin Seyfried. "Fundamentals of Pedestrian and Evacuation Dynamics." In Multi-Agent Systems for Traffic and Transportation Engineering. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-226-8.ch006.

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Multi-Agent Simulation is a general and powerful framework for understanding and predicting the behaviour of social systems. Here the authors investigate the behaviour of pedestrians and human crowds, especially their physical movement. Their aim is to build a bridge between the multi-agent and pedestrian dynamics communities that facilitates the validation and calibration of modelling approaches which is essential for any application in sensitive areas like safety analysis. Understanding the dynamical properties of large crowds is of obvious practical importance. Emergency situations require

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Actes de conférences sur le sujet "Pedestrian dynamics, crowd, agent-based approach, simulation"

Qiu Qin and Junhu Wei. "An agent-based approach for crowd dynamics simulation." In 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658843.

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