AGENT-BASED APPROACH AND CELLULAR AUTOMATA - A PROMISING PERSPECTIVE IN CROWD DYNAMICS MODELING?

被引:7
作者
Was, Jaroslaw [1 ]
Porzycki, Jakub [1 ]
Lubas, Robert [1 ]
Miller, Janusz [1 ]
Bazior, Grzegorz [1 ]
机构
[1] AGH Univ Sci & Technol, Fac Elect Engn Automat IT & Biomed Engn, Dept Appl Comp Sci, Al Mickiewicza 30, PL-30059 Krakow, Poland
来源
SUMMER SOLSTICE 2015 INTERNATIONAL CONFERENCE ON DISCRETE MODELS OF COMPLEX SYSTEMS | 2016年 / 9卷 / 01期
关键词
PEDESTRIAN DYNAMICS; FLOOR FIELD; FORCE MODEL; SIMULATION; VALIDATION;
D O I
10.5506/APhysPolBSupp.9.133
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The paper presents recent trends in the area of Cellular Automata (CA) originated microscopic models of crowd. There are many interesting applications of CA-based models, which incorporate different definitions of floor fields, grouping behavior, building complex scenarios, parallelisation of computing processes, as well as the development of validation and verification tests. Thus, due to the observed rapid development of discrete crowd simulation models, they become a real alternative to force-based ones. It is especially visible in a new kind of crowd-model application, where simulation is required to cooperate with different sensors in real-time regime.
引用
收藏
页码:133 / +
页数:4
相关论文
共 50 条
  • [1] Cellular Automata as the basis of effective and realistic agent-based models of crowd behavior
    Lubas, Robert
    Was, Jaroslaw
    Porzycki, Jakub
    JOURNAL OF SUPERCOMPUTING, 2016, 72 (06) : 2170 - 2196
  • [2] Cellular Automata for Crowd Dynamics
    Sirakoulis, Georgios Ch
    IMPLEMENTATION AND APPLICATION OF AUTOMATA, CIAA 2014, 2014, 8587 : 58 - 69
  • [3] Cellular Automata as the basis of effective and realistic agent-based models of crowd behavior
    Robert Lubaś
    Jarosław Wąs
    Jakub Porzycki
    The Journal of Supercomputing, 2016, 72 : 2170 - 2196
  • [4] Accelerating fuzzy cellular automata for modeling crowd dynamics
    Gerakakis, Ioannis
    Gavriilidis, Prodromos
    Dourvas, Nikolaos I.
    Georgoudas, Ioakeim G.
    Trunfio, Giuseppe A.
    Sirakoulis, Georgios Ch
    JOURNAL OF COMPUTATIONAL SCIENCE, 2019, 32 : 125 - 140
  • [5] A combined agent-based modeling and GIS approach for HAJJ crowd simulation
    Yaagoubi, Reda
    Miky, Yehia
    Faisal, Kamil
    Al Shouny, Ahmed
    JOURNAL OF ENGINEERING RESEARCH, 2023, 11 (01):
  • [6] Towards realistic and effective Agent-based models of crowd dynamics
    Was, Jaroslaw
    Lubas, Robert
    NEUROCOMPUTING, 2014, 146 : 199 - 209
  • [7] iCrowd: agent-based behavior modeling and crowd simulator
    Kountouriotis, Vassilios I.
    Paterakis, Manolis
    Thomopoulos, Stelios C. A.
    SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXV, 2016, 9842
  • [8] Agent-Based Modeling: Introduction and Perspective
    Terano, Takao
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, 2011, : 1003 - 1009
  • [9] Integrating Cellular Automata and Agent-Based Modeling for Predicting Urban Growth: A Case of Dehradun City
    Kumar, Vaibhav
    Singh, Vivek Kumar
    Gupta, Kshama
    Jha, Ashutosh Kumar
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2021, 49 (11) : 2779 - 2795
  • [10] Multi-class Agent-based Model of Crowd Dynamics
    Alqurashi, Raghda
    Altman, Tom
    PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), 2017, : 1801 - 1802