Shape matters: Modelling, calibrating and validating pedestrian movement considering groups

被引:22
作者
Crociani, Luca [1 ]
Zeng, Yiping [2 ]
Vizzari, Giuseppe [1 ]
Bandini, Stefania [1 ,3 ]
机构
[1] Univ Milano Bicocca, Dept Informat Syst & Commun, Complex Syst & Artificial Intelligence Res Ctr, Milan, Italy
[2] Univ Sci & Technol China, State Key Lab Fire Sci, Hefei, Anhui, Peoples R China
[3] Univ Tokyo, Res Ctr Adv Sci & Technol, Tokyo, Japan
基金
高等学校博士学科点专项科研基金;
关键词
Pedestrian simulation; Social groups; Multi-agent systems; EVACUATION DYNAMICS; CELLULAR-AUTOMATON; SIMULATION; CROWD; BEHAVIOR;
D O I
10.1016/j.simpat.2018.06.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Computer simulation for pedestrian dynamics is at the same time an application area in which research has completed its cycle and an active and lively research context in which contributions from different disciplines still produce advancements on the state of the art. The study of effects of the presence of groups in the simulated population is object of growing interest in the community. While previous results have started to investigate the phenomenon, implying conflicting tendencies for pedestrians, mechanisms for the flexible management of cohesion among group members are still investigated both in continuous and discrete modelling efforts. The present effort is aimed at extending previous modelling efforts, preserving and improving the capability to generate overall plausible aggregated dynamics, while at the same time improving the precision in the microscopic group dynamics, with particular attention to the shape of dyads. The paper presents validated results based on empirical data from a controlled experiment, also discussing qualitative results in different common situations (bends and bottlenecks).
引用
收藏
页码:73 / 91
页数:19
相关论文
共 45 条
[1]   Situated cellular agents approach to crowd modeling and simulation [J].
Bandini, Stefania ;
Federici, Mizar Luca ;
Vizzari, Giuseppe .
CYBERNETICS AND SYSTEMS, 2007, 38 (07) :729-753
[2]  
Bandini S, 2017, J CELL AUTOM, V12, P401
[3]   Heterogeneous Pedestrian Walking Speed in Discrete Simulation Models [J].
Bandini, Stefania ;
Crociani, Luca ;
Vizzari, Giuseppe .
TRAFFIC AND GRANULAR FLOW '13, 2015, :273-279
[4]  
Bandini S, 2014, 2014 IEEE 17TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), P572, DOI 10.1109/ITSC.2014.6957751
[5]   Modelling negative interactions among pedestrians in high density situations [J].
Bandini, Stefania ;
Mondini, Matteo ;
Vizzari, Giuseppe .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2014, 40 :251-270
[6]   Disentangling the Impact of Social Groups on Response Times and Movement Dynamics in Evacuations [J].
Bode, Nikolai W. F. ;
Holl, Stefan ;
Mehner, Wolfgang ;
Seyfried, Armin .
PLOS ONE, 2015, 10 (03)
[7]   Collecting pedestrian trajectories [J].
Boltes, Maik ;
Seyfried, Armin .
NEUROCOMPUTING, 2013, 100 :127-133
[8]   Simulation of pedestrian dynamics using a two-dimensional cellular automaton [J].
Burstedde, C ;
Klauck, K ;
Schadschneider, A ;
Zittartz, J .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2001, 295 (3-4) :507-525
[9]  
Castle C.J., 2011, Pedestrian and Evacuation Dynamics, P433, DOI [DOI 10.1007/978-1-4419-9725-8_39, DOI 10.1007/978-1-4419-9725-8]
[10]  
Challenger R, 2009, UNDERSTANDING CROWD