{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T23:58:05Z","timestamp":1782172685878,"version":"3.54.5"},"reference-count":40,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2017,10,20]],"date-time":"2017-10-20T00:00:00Z","timestamp":1508457600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2016YFB0501502"],"award-info":[{"award-number":["2016YFB0501502"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2016YFB0501503"],"award-info":[{"award-number":["2016YFB0501503"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008111","name":"Hainan Provincial Department of Science and Technology","doi-asserted-by":"publisher","award":["ZDKJ2016021"],"award-info":[{"award-number":["ZDKJ2016021"]}],"id":[{"id":"10.13039\/501100008111","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Hainan","award":["20154171"],"award-info":[{"award-number":["20154171"]}]},{"name":"135 Plan Project of Chinese Academy of Sciences","award":["Y6SG0200CX"],"award-info":[{"award-number":["Y6SG0200CX"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Most models designed to simulate pedestrian dynamical behavior are based on the assumption that human decision-making can be described using precise values. This study proposes a new pedestrian model that incorporates fuzzy logic theory into a multi-agent system to address cognitive behavior that introduces uncertainty and imprecision during decision-making. We present a concept of decision preferences to represent the intrinsic control factors of decision-making. To realize the different decision preferences of heterogeneous pedestrians, the Five-Factor (OCEAN) personality model is introduced to model the psychological characteristics of individuals. Then, a fuzzy logic-based approach is adopted for mapping the relationships between the personality traits and the decision preferences. Finally, we have developed an application using our model to simulate pedestrian dynamical behavior in several normal or non-panic scenarios, including a single-exit room, a hallway with obstacles, and a narrowing passage. The effectiveness of the proposed model is validated with a user study. The results show that the proposed model can generate more reasonable and heterogeneous behavior in the simulation and indicate that individual personality has a noticeable effect on pedestrian dynamical behavior.<\/jats:p>","DOI":"10.3390\/sym9100239","type":"journal-article","created":{"date-parts":[[2017,10,23]],"date-time":"2017-10-23T04:32:19Z","timestamp":1508733139000},"page":"239","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Fuzzy Logic-Based Model That Incorporates Personality Traits for Heterogeneous Pedestrians"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7441-659X","authenticated-orcid":false,"given":"Zhuxin","family":"Xue","sequence":"first","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Dong","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangtao","family":"Fan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"Hainan Key Laboratory of Earth Observation, Sanya 572029, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingwen","family":"Jin","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongdeng","family":"Jian","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"Hainan Key Laboratory of Earth Observation, Sanya 572029, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,10,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1145\/1141911.1142008","article-title":"Continuum crowds","volume":"25","author":"Treuille","year":"2006","journal-title":"ACM Trans. Graph."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"4282","DOI":"10.1103\/PhysRevE.51.4282","article-title":"Social force model for pedestrian dynamics","volume":"51","author":"Helbing","year":"1995","journal-title":"Phys. Rev. E"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1016\/S0378-4371(01)00141-8","article-title":"Simulation of pedestrian dynamics using a two-dimensional cellular automaton","volume":"295","author":"Burstedde","year":"2001","journal-title":"Phys. A Stat. Mech. Appl."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1038\/35035023","article-title":"Simulating dynamical features of escape panic","volume":"407","author":"Helbing","year":"2000","journal-title":"Nature"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"387","DOI":"10.5772\/56832","article-title":"Modelling and simulating of risk behaviours in virtual environments based on multi-agent and fuzzy logic","volume":"10","author":"Cai","year":"2013","journal-title":"Int. J. Adv. Robot. Syst."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1016\/j.buildenv.2008.05.008","article-title":"Mobility analysis inside buildings using distrimobs simulator: A case study","volume":"44","author":"Brambilla","year":"2009","journal-title":"Build. Environ."},{"key":"ref_7","unstructured":"Berg, J.V.D., Lin, M., and Manocha, D. (2008, January 19\u201323). Reciprocal velocity obstacles for real-time multi-agent navigation. Proceedings of the IEEE International Conference on Robotics & Automation, Pasadena, CA, USA."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1109\/TITS.2010.2091272","article-title":"Autonomous pedestrian collision avoidance using a fuzzy steering controller","volume":"12","author":"Llorca","year":"2011","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.neucom.2014.12.103","article-title":"Simulating heterogeneous crowds from a physiological perspective","volume":"172","author":"Zheng","year":"2016","journal-title":"Neurocomputing"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/MCG.2009.105","article-title":"How the ocean personality model affects the perception of crowds","volume":"31","author":"Durupinar","year":"2011","journal-title":"IEEE Comput. Graph. Appl."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Guy, S.J., Kim, S., Lin, M.C., and Manocha, D. (2011, January 5\u20137). Simulating heterogeneous crowd behaviors using personality trait theory. Proceedings of the International Conference on Computer Graphics and Virtual Reality, Vancouver, BC, Canada.","DOI":"10.1145\/2019406.2019413"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1016\/S0191-2615(01)00015-7","article-title":"A continuum theory for the flow of pedestrians","volume":"36","author":"Hughes","year":"2002","journal-title":"Transp. Res. B Methodol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1145\/37402.37406","article-title":"Flocks, herds and schools: A distributed behavioral model","volume":"21","author":"Reynolds","year":"1987","journal-title":"ACM SIGGRAPH Comput. Graph."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1007\/s00146-007-0126-1","article-title":"A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations","volume":"22","author":"Pan","year":"2007","journal-title":"AI Soc."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","article-title":"Fuzzy sets","volume":"8","author":"Zadeh","year":"1965","journal-title":"Inf. Control"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"63","DOI":"10.3141\/2140-07","article-title":"Pedestrian crosswalks at midblock locations: Fuzzy logic solution to existing signal operations","volume":"45","author":"Lu","year":"2009","journal-title":"Transp. Res. Rec."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"30","DOI":"10.3141\/1651-05","article-title":"Application of fuzzy logic to the control of a pedestrian crossing signal","volume":"1651","author":"Niittymaki","year":"1998","journal-title":"Transp. Res. Rec."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Nasir, M., Nahavandi, S., and Creighton, D. (2012, January 10\u201315). Fuzzy simulation of pedestrian walking path considering local environmental stimuli. Proceedings of the 2012 IEEE International Conference on Fuzzy Systems, Brisbane, Australia.","DOI":"10.1109\/FUZZ-IEEE.2012.6251245"},{"key":"ref_19","unstructured":"Zhu, B., Liu, T., and Tang, Y. (2008, January 22\u201325). Research on pedestrian evacuation simulation based on fuzzy logic. Proceedings of the 2008 9th International Conference on Computer-Aided Industrial Design and Conceptual Design, Kunming, China."},{"key":"ref_20","unstructured":"Jin, D., and Lin, S. (2012). A fuzzy logic based approach for crowd simulation. Advances in Electronic Commerce, Web Application and Communication, Volume 2 (Advances in Intelligent and Soft Computing), Springer."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"de Sousa, J.F., and Rossi, R. (2014). Simulation of crowd dynamics in panic situations using a fuzzy logic-based behavioural model. Computer-Based Modelling and Optimization in Transportation, Springer.","DOI":"10.1007\/978-3-319-04630-3"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.simpat.2014.03.002","article-title":"A genetic fuzzy system to model pedestrian walking path in a built environment","volume":"45","author":"Nasir","year":"2014","journal-title":"Simul. Modell. Pract. Theor."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2619","DOI":"10.1016\/j.physleta.2016.06.011","article-title":"A fuzzy-theory-based behavioral model for studying pedestrian evacuation from a single-exit room","volume":"380","author":"Fu","year":"2016","journal-title":"Phys. Lett. A"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.ins.2016.04.018","article-title":"Modeling and simulation of pedestrian dynamical behavior based on a fuzzy logic approach","volume":"360","author":"Zhou","year":"2016","journal-title":"Inf. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1037\/0022-3514.52.1.81","article-title":"Validation of the five-factor model of personality across instruments and observers","volume":"52","author":"McCrae","year":"1987","journal-title":"J. Personal. Soc. Psychol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2177","DOI":"10.1016\/j.physa.2010.01.048","article-title":"Simulation of evacuation processes in a square with a partition wall using a cellular automaton model for pedestrian dynamics","volume":"389","author":"Zheng","year":"2010","journal-title":"Phys. A Stat. Mech. Appl."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/S0191-2615(99)00052-1","article-title":"Cellular automata microsimulation for modeling bi-directional pedestrian walkways","volume":"35","author":"Blue","year":"2001","journal-title":"Transp. Res. B Methodol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2202","DOI":"10.1016\/j.physa.2013.01.012","article-title":"Simulation of pedestrian counter flow through bottlenecks by using an agent-based model","volume":"392","author":"Dai","year":"2013","journal-title":"Phys. A Stat. Mech. Appl."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Akasaka, Y., and Onisawa, T. (2005, January 12). Individualized pedestrian navigation using fuzzy measures and integrals. Proceedings of the 2005 IEEE International Conference on Systems, Man and Cybernetics, Waikoloa, HI, USA.","DOI":"10.1109\/ICSMC.2006.385061"},{"key":"ref_30","unstructured":"Teknomo, K., and Gerilla, G.P. (2006, January 14\u201316). Fuzzy perceptional spacing for intelligent multi agent pedestrian simulation. Proceedings of the International Symposium of Lowland Technology, Saga, Japan."},{"key":"ref_31","unstructured":"Pelechano, N., Allbeck, J.M., and Badler, N.I. (2007, January 3\u20134). Controlling individual agents in high-density crowd simulation. Proceedings of the 2007 ACM SIGGRAPH\/Eurographics Symposium on Computer Animation, San Diego, CA, USA."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Srinivasan, D., and Jain, L.C. (2010). An introduction to multi-agent systems. Innovations in Multi-Agent Systems and Applications\u20141, Springer.","DOI":"10.1007\/978-3-642-14435-6"},{"key":"ref_33","unstructured":"Ghasemaghaee, N., and Oren, T.I. (2003, January 20\u201324). In Towards fuzzy agents with dynamic personality for human behavior simulation. Proceedings of the Summer Computer Simulation Conference, Montreal, PQ, Canada."},{"key":"ref_34","unstructured":"Phares, E.J. (1991). Introduction to Psychology, Harper Collins Publishers. [3rd ed.]."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Eysenck, H.J., and Eysenck, M.W. (1985). Personality and Individual Differences: A Natural Science Approach, Plenum Press.","DOI":"10.1007\/978-1-4613-2413-3"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1111\/j.1467-6494.1992.tb00970.x","article-title":"An introduction to the five-factor model and its applications","volume":"60","author":"McCrae","year":"1992","journal-title":"J. Personal."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1216","DOI":"10.1037\/0022-3514.59.6.1216","article-title":"An alternative \u201cdescription of personality\u201d: The big-five factor structure","volume":"59","author":"Goldberg","year":"1990","journal-title":"J. Personal. Soc. Psychol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-642-19457-3_1","article-title":"Reciprocal n-body collision avoidance","volume":"70","author":"Berg","year":"2011","journal-title":"Springer Tracts Adv. Robot."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1585","DOI":"10.1049\/piee.1974.0328","article-title":"Application of fuzzy algorithms for control of simple dynamic plant","volume":"121","author":"Mamdani","year":"1974","journal-title":"Proc. Inst. Electr. Eng."},{"key":"ref_40","unstructured":"Berg, J.V.D., Guy, S.J., Snape, J., Lin, M., and Manocha, D. (2017, October 04). RVO2 Library: Reciprocal Collision Avoidance for Real-Time Multi-Agent Simulation. Available online: http:\/\/gamma.cs.unc.edu\/RVO2."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/9\/10\/239\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:47:56Z","timestamp":1760208476000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/9\/10\/239"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,20]]},"references-count":40,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2017,10]]}},"alternative-id":["sym9100239"],"URL":"https:\/\/doi.org\/10.3390\/sym9100239","relation":{},"ISSN":["2073-8994"],"issn-type":[{"value":"2073-8994","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,20]]}}}