Distance-based affective states in cellular automata pedestrian simulation
Springer Science and Business Media LLC - Trang 1-13
Tóm tắt
Cellular Automata have successfully been successfully applied to the modeling and simulation of pedestrian and crowd dynamics. In particular, the investigated scenarios have often been focused on the evaluation of medium–high population density situations, in which the motivation of pedestrians to reach a certain location overcomes their tendency to naturally respect proxemic distances. The global COVID-19 outbreak, though, has shown that sometimes it is crucial to contemplate how proxemic tendencies are emphasized and amplified by the affective state of the individuals involved in the scenario, representing an important factor to take into consideration when investigating the behaviour of a crowd. In this paper we present a research effort aimed at integrating results of quantitative analyses regarding the effects of affective states on the perception of distances maintained by different types of pedestrians with the modeling of pedestrian movement choices in a cellular automata framework.
Tài liệu tham khảo
citation_title=Towards affective situated cellular agents; citation_inbook_title=Cellular automata; citation_publication_date=2006; citation_pages=686-689; citation_id=CR1; citation_author=S Bandini; citation_author=S Manzoni; citation_publisher=Springer
citation_journal_title=J Artif Soc Soc Simul; citation_title=Agent based modeling and simulation: An informatics perspective; citation_author=S Bandini, S Manzoni, G Vizzari; citation_volume=12; citation_issue=4; citation_publication_date=2009; citation_pages=4; citation_id=CR2
citation_journal_title=J Cell Autom; citation_title=An approach for managing heterogeneous speed profiles in cellular automata pedestrian models; citation_author=S Bandini, L Crociani, G Vizzari; citation_volume=12; citation_issue=5; citation_publication_date=2017; citation_pages=401; citation_id=CR50
citation_journal_title=Fundam Inform; citation_title=Unveiling the hidden dimension of pedestrian crowds: introducing personal space and crowding into simulations; citation_author=S Bandini, L Crociani, A Gorrini, K Nishinari, G Vizzari; citation_volume=171; citation_issue=1–4; citation_publication_date=2020; citation_pages=19-38; citation_id=CR3
Bandini S, Briola D, Dennunzio A, Gasparini F, Giltri M, Vizzari G (2022) Integrating the implications of distance-based affective states in cellular automata pedestrian simulation. In: Cellular automata: 15th international conference on cellular automata for research and industry, ACRI 2022, Geneva, Switzerland, September 12–15, 2022, Proceedings. Springer, pp. 259–270
Bandini S, Briola D, Gasparini F, Giltri M (2022) Furthering an agent-based modeling approach introducing affective states based on real data. In: Proceedings of twelfth international workshop on agents in traffic and transportation (ATT@IJCAI-ECAI). CEUR, pp 124–136
citation_journal_title=Transp Res Part B Methodol; citation_title=Cellular automata microsimulation for modeling bi-directional pedestrian walkways; citation_author=VJ Blue, JL Adler; citation_volume=35; citation_issue=3; citation_publication_date=2001; citation_pages=293-312; citation_doi=10.1016/S0191-2615(99)00052-1; citation_id=CR6
citation_journal_title=Phys A Stat Mech Appl; citation_title=Simulation of pedestrian dynamics using a two-dimensional cellular automaton; citation_author=C Burstedde, K Klauck, A Schadschneider, J Zittartz; citation_volume=295; citation_issue=3–4; citation_publication_date=2001; citation_pages=507-525; citation_doi=10.1016/S0378-4371(01)00141-8; citation_id=CR7
citation_journal_title=Simul Model Pract Theory; citation_title=Shape matters: modelling, calibrating and validating pedestrian movement considering groups; citation_author=L Crociani, Y Zeng, G Vizzari, S Bandini; citation_volume=87; citation_publication_date=2018; citation_pages=73-91; citation_doi=10.1016/j.simpat.2018.06.001; citation_id=CR8
citation_title=The big five personality factors: the psycholexical approach to personality; citation_publication_date=2000; citation_id=CR9; citation_author=B Raad; citation_publisher=Hogrefe & Huber Publishers
citation_journal_title=J Personal Soc Psychol; citation_title=Personal space and self-protection; citation_author=MA Dosey, M Meisels; citation_volume=11; citation_issue=2; citation_publication_date=1969; citation_pages=93; citation_doi=10.1037/h0027040; citation_id=CR10
citation_journal_title=Cognit Emot; citation_title=An argument for basic emotions; citation_author=P Ekman; citation_volume=6; citation_issue=3–4; citation_publication_date=1992; citation_pages=169-200; citation_doi=10.1080/02699939208411068; citation_id=CR11
citation_journal_title=Phys A Stat Mech Appl; citation_title=Simulation of space acquisition process of pedestrians using proxemic floor field model; citation_author=T Ezaki, D Yanagisawa, K Ohtsuka, K Nishinari; citation_volume=391; citation_issue=1–2; citation_publication_date=2012; citation_pages=291-299; citation_doi=10.1016/j.physa.2011.07.056; citation_id=CR12
citation_journal_title=Phys A Stat Mech Appl; citation_title=An improved cellular automata model to simulate the behavior of high density crowd and validation by experimental data; citation_author=C Feliciani, K Nishinari; citation_volume=451; citation_publication_date=2016; citation_pages=135-148; citation_doi=10.1016/j.physa.2016.01.057; citation_id=CR13
citation_journal_title=Simul Model Pract Theory; citation_title=Multi-grid simulation of counter flow pedestrian dynamics with emotion propagation; citation_author=L Fu, W Song, W Lv, X Liu, S Lo; citation_volume=60; citation_publication_date=2016; citation_pages=1-14; citation_doi=10.1016/j.simpat.2015.09.007; citation_id=CR14
Gasparini F, Giltri M, Briola D, Dennunzio A, Bandini S (2021) Affectivity and proxemic distances: an experimental agent-based modeling approach. In: Proceedings of the Italian workshop on artificial intelligence for an ageing society 2021, vol 3108. CEUR, pp. 81–92
citation_journal_title=Collect Dyn; citation_title=Age and group-driven pedestrian behaviour: from observations to simulations; citation_author=A Gorrini, G Vizzari, S Bandini; citation_volume=1; citation_publication_date=2016; citation_pages=1-16; citation_id=CR16
citation_journal_title=J Phys A Math Theor; citation_title=A modified floor field cellular automata model for pedestrian evacuation simulation; citation_author=R-Y Guo, H-J Huang; citation_volume=41; citation_issue=38; citation_publication_date=2008; citation_doi=10.1088/1751-8113/41/38/385104; citation_id=CR17
citation_title=The hidden dimension; citation_publication_date=1966; citation_id=CR18; citation_author=ET Hall; citation_publisher=Anchor books
Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of ICNN’95-international conference on neural networks, vol 4. IEEE, pp 1942–1948
citation_journal_title=Phys Rev E; citation_title=Friction effects and clogging in a cellular automaton model for pedestrian dynamics; citation_author=A Kirchner, K Nishinari, A Schadschneider; citation_volume=67; citation_issue=5; citation_publication_date=2003; citation_doi=10.1103/PhysRevE.67.056122; citation_id=CR20
citation_journal_title=Discret Dyn Nat Soc; citation_title=Using cellular automata to investigate pedestrian conflicts with vehicles in crosswalk at signalized intersection; citation_author=X Li, X Yan, X Li, J Wang; citation_publication_date=2012; citation_doi=10.1155/2012/287502; citation_id=CR21
citation_journal_title=Phys A Stat Mech Appl; citation_title=Effect of psychological tension on pedestrian counter flow via an extended cost potential field cellular automaton model; citation_author=X Li, F Guo, H Kuang, H Zhou; citation_volume=487; citation_publication_date=2017; citation_pages=47-57; citation_doi=10.1016/j.physa.2017.05.070; citation_id=CR22
citation_journal_title=Phys A Stat Mech Appl; citation_title=Calibrating floor field cellular automaton models for pedestrian dynamics by using likelihood function optimization; citation_author=R Lovreglio, E Ronchi, D Nilsson; citation_volume=438; citation_publication_date=2015; citation_pages=308-320; citation_doi=10.1016/j.physa.2015.06.040; citation_id=CR23
citation_journal_title=Transp Res Part C Emerg Technol; citation_title=A study of pedestrian group behaviors in crowd evacuation based on an extended floor field cellular automaton model; citation_author=L Lu, C-Y Chan, J Wang, W Wang; citation_volume=81; citation_publication_date=2017; citation_pages=317-329; citation_doi=10.1016/j.trc.2016.08.018; citation_id=CR24
citation_journal_title=J Supercomput; citation_title=Cellular automata as the basis of effective and realistic agent-based models of crowd behavior; citation_author=R Lubas, J Was, J Porzycki; citation_volume=72; citation_issue=6; citation_publication_date=2016; citation_pages=2170-2196; citation_doi=10.1007/s11227-016-1718-7; citation_id=CR25
citation_journal_title=Phys Rev E; citation_title=Quantitative analysis of pedestrian counterflow in a cellular automaton model; citation_author=S Nowak, A Schadschneider; citation_volume=85; citation_issue=6; citation_publication_date=2012; citation_doi=10.1103/PhysRevE.85.066128; citation_id=CR26
citation_title=The cognitive structure of emotions; citation_publication_date=1990; citation_id=CR27; citation_author=A Ortony; citation_author=GL Clore; citation_author=A Collins; citation_publisher=Cambridge University Press
citation_journal_title=Adapt Behav; citation_title=An approach for emotions and behavior modeling in a crowd in the presence of rare events; citation_author=L Saifi, A Boubetra, F Nouioua; citation_volume=24; citation_issue=6; citation_publication_date=2016; citation_pages=428-445; citation_doi=10.1177/1059712316674784; citation_id=CR28
citation_title=Evacuation dynamics: empirical results, modeling and applications; citation_inbook_title=Encyclopedia of complexity and systems science; citation_publication_date=2009; citation_pages=3142-3176; citation_id=CR29; citation_author=A Schadschneider; citation_author=W Klingsch; citation_author=H Klüpfel; citation_author=T Kretz; citation_author=C Rogsch; citation_author=A Seyfried; citation_publisher=Springer
Schadschneider A, Kirchner A, Nishinari K (2002) CA approach to collective phenomena in pedestrian dynamics. In: International conference on cellular automata. Springer, pp 239–248
Sirakoulis GC (2014) Cellular automata for crowd dynamics. In: International conference on implementation and application of automata. Springer, pp. 58–69
citation_journal_title=Future Internet; citation_title=Pedestrian simulation with reinforcement learning: a curriculum-based approach; citation_author=G Vizzari, T Cecconello; citation_volume=15; citation_issue=1; citation_publication_date=2023; citation_pages=12; citation_doi=10.3390/fi15010012; citation_id=CR32
citation_journal_title=Chin Phys B; citation_title=Simulation study of crowd dynamics in pedestrian evacuation concerning panic contagion: a cellular automaton approach; citation_author=G-n Wang, T Chen, J-w Chen, K Deng, R-d Wang; citation_volume=31; citation_publication_date=2022; citation_pages=060402; citation_doi=10.1088/1674-1056/ac4a66; citation_id=CR33
Was J, Gudowski B, Matuszyk PJ (2006) Social distances model of pedestrian dynamics. In: International conference on cellular automata. Springer, pp 492–501
Was J, Lubas R, Mysliwiec W (2012) Proxemics in discrete simulation of evacuation. In: Sirakoulis GC, Bandini S (eds) Cellular Automata—10th international conference on cellular automata for research and industry, ACRI 2012, Santorini Island, Greece, September 24–27, 2012. Proceedings. Lecture Notes in Computer Science, vol 7495. Springer, Heidelberg, Germany, pp 768–775
citation_journal_title=Phys A Stat Mech Appl; citation_title=Simulation of bi-direction pedestrian movement using a cellular automata model; citation_author=F Weifeng, Y Lizhong, F Weicheng; citation_volume=321; citation_issue=3–4; citation_publication_date=2003; citation_pages=633-640; citation_doi=10.1016/S0378-4371(02)01732-6; citation_id=CR36
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