ProactiveCrowd: Modelling Proactive Steering Behaviours for Agent‐Based Crowd Simulation

How to realistically model an agent's steering behaviour is a critical issue in agent‐based crowd simulation. In this work, we investigate some proactive steering strategies for agents to minimize potential collisions. To this end, a behaviour‐based modelling framework is first introduced to mo...

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Published in:	Computer graphics forum Vol. 37; no. 1; pp. 375 - 388
Main Authors:	Luo, Linbo, Chai, Cheng, Ma, Jianfeng, Zhou, Suiping, Cai, Wentong
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.02.2018
Subjects:	animation Behavior behavioural animation Categories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: 3D Graphics and Realism—Animation, I.6.5 [Simulation and Modelling]: Model Development—Modelling methodologies Computer simulation human simulation Modelling motion planning Simulation Steering
ISSN:	0167-7055, 1467-8659
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Abstract	How to realistically model an agent's steering behaviour is a critical issue in agent‐based crowd simulation. In this work, we investigate some proactive steering strategies for agents to minimize potential collisions. To this end, a behaviour‐based modelling framework is first introduced to model the process of how humans select and execute a proactive steering strategy in crowded situations and execute the corresponding behaviour accordingly. We then propose behaviour models for two inter‐related proactive steering behaviours, namely gap seeking and following. These behaviours can be frequently observed in real‐life scenarios, and they can easily affect overall crowd dynamics. We validate our work by evaluating the simulation results of our model with the real‐world data and comparing the performance of our model with that of two state‐of‐the‐art crowd models. The results show that the performance of our model is better or at least comparable to the compared models in terms of the realism at both individual and crowd levels. How to realistically model an agent's steering behaviour is a critical issue in agent‐based crowd simulation. In this work, we investigate some proactive steering strategies for agents to minimize potential collisions. To this end, a behaviour‐based modelling framework is first introduced to model the process of how humans select and execute a proactive steering strategy in crowded situations and execute the corresponding behaviour accordingly. We then propose behaviour models for two inter‐related proactive steering behaviours, namely gap seeking and following. These behaviours can be frequently observed in real‐life scenarios, and they can easily affect overall crowd dynamics.
AbstractList	How to realistically model an agent's steering behaviour is a critical issue in agent‐based crowd simulation. In this work, we investigate some proactive steering strategies for agents to minimize potential collisions. To this end, a behaviour‐based modelling framework is first introduced to model the process of how humans select and execute a proactive steering strategy in crowded situations and execute the corresponding behaviour accordingly. We then propose behaviour models for two inter‐related proactive steering behaviours, namely gap seeking and following. These behaviours can be frequently observed in real‐life scenarios, and they can easily affect overall crowd dynamics. We validate our work by evaluating the simulation results of our model with the real‐world data and comparing the performance of our model with that of two state‐of‐the‐art crowd models. The results show that the performance of our model is better or at least comparable to the compared models in terms of the realism at both individual and crowd levels. How to realistically model an agent's steering behaviour is a critical issue in agent‐based crowd simulation. In this work, we investigate some proactive steering strategies for agents to minimize potential collisions. To this end, a behaviour‐based modelling framework is first introduced to model the process of how humans select and execute a proactive steering strategy in crowded situations and execute the corresponding behaviour accordingly. We then propose behaviour models for two inter‐related proactive steering behaviours, namely gap seeking and following. These behaviours can be frequently observed in real‐life scenarios, and they can easily affect overall crowd dynamics. We validate our work by evaluating the simulation results of our model with the real‐world data and comparing the performance of our model with that of two state‐of‐the‐art crowd models. The results show that the performance of our model is better or at least comparable to the compared models in terms of the realism at both individual and crowd levels. How to realistically model an agent's steering behaviour is a critical issue in agent‐based crowd simulation. In this work, we investigate some proactive steering strategies for agents to minimize potential collisions. To this end, a behaviour‐based modelling framework is first introduced to model the process of how humans select and execute a proactive steering strategy in crowded situations and execute the corresponding behaviour accordingly. We then propose behaviour models for two inter‐related proactive steering behaviours, namely gap seeking and following. These behaviours can be frequently observed in real‐life scenarios, and they can easily affect overall crowd dynamics.
Author	Luo, Linbo Chai, Cheng Ma, Jianfeng Zhou, Suiping Cai, Wentong
Author_xml	– sequence: 1 givenname: Linbo surname: Luo fullname: Luo, Linbo email: lbluo@xidian.edu.cn organization: Xidian University – sequence: 2 givenname: Cheng surname: Chai fullname: Chai, Cheng email: cchaixd@yahoo.com organization: Xidian University – sequence: 3 givenname: Jianfeng surname: Ma fullname: Ma, Jianfeng email: jfma@mail.xidian.edu.cn organization: Xidian University – sequence: 4 givenname: Suiping surname: Zhou fullname: Zhou, Suiping email: s.zhou@mdx.ac.uk organization: Middlesex University – sequence: 5 givenname: Wentong surname: Cai fullname: Cai, Wentong email: ASWTCAI@ntu.edu.sg organization: Nanyang Technological University
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References_xml	– volume: 31 start-page: 489 issue: 2 year: 2012 end-page: 498 article-title: Realistic following behaviors for crowd simulation publication-title: Computer Graphics Forum – start-page: 1135 year: 2006 end-page: 1138 – volume: 20 start-page: 1022 issue: 7 year: 2014 end-page: 1034 article-title: Hybrid long‐range collision avoidance for crowd simulation publication-title: IEEE Transactions on Visualization and Computer Graphics – start-page: 136 year: 2008 end-page: 142 – volume: 400 start-page: 93 year: 2014 end-page: 99 article-title: A social force evacuation model with the leadership effect publication-title: Physica A: Statistical Mechanics and Its Applications – start-page: 119 year: 2015 end-page: 127 – volume: 10 start-page: e0117856 issue: 4 year: 2015 article-title: Generating pedestrian trajectories consistent with the fundamental diagram based on physiological and psychological factors publication-title: PLoS One – volume: 33 start-page: 303 issue: 2 year: 2014 end-page: 312 article-title: Parameter estimation and comparative evaluation of crowd simulations publication-title: Computer Graphics Forum – volume: 2012 start-page: P02002 issue: 02 year: 2012 article-title: Ordering in bidirectional pedestrian flows and its influence on the fundamental diagram publication-title: Journal of Statistical Mechanics: Theory and Experiment – volume: 20 start-page: 20:1 issue: 4 year: 2010 end-page: 20:35 article-title: Crowd modeling and simulation technologies publication-title: ACM Transactions on Modeling and Computer Simulation (TOMACS) – volume: 32 start-page: 505 issue: 3 year: 1985 end-page: 536 article-title: Generalized best‐first search strategies and the optimality of A* publication-title: Journal of the ACM (JACM) – start-page: 97 year: 2014 end-page: 102 – volume: 407 start-page: 487 issue: 6803 year: 2000 end-page: 490 article-title: Simulating dynamical features of escape panic publication-title: Nature – start-page: 1 year: 2015 end-page: 10 article-title: A path‐based multi‐agent navigation model publication-title: The Visual Computer – volume: 35 start-page: 164:1 issue: 6 year: 2016 end-page: 164:11 article-title: Warpdriver: Context‐aware probabilistic motion prediction for crowd simulation publication-title: ACM Transactions on Graphics (TOG) – start-page: 285 year: 2011 end-page: 296 – volume: 33 start-page: 41 issue: 7 year: 2014 end-page: 50 article-title: A data‐driven framework for visual crowd analysis publication-title: Computer Graphics Forum – start-page: 19 year: 2005 end-page: 28 – start-page: 37 year: 2016 end-page: 43 – start-page: 215 year: 2009 end-page: 223 – start-page: 89 year: 2016 end-page: 97 – volume: 10 start-page: 271 issue: supp02 year: 2007 end-page: 288 article-title: Specification of the social force pedestrian model by evolutionary adjustment to video tracking data publication-title: Advances in Complex Systems – start-page: 673 year: 2002 end-page: 684 – volume: 31 start-page: 190:1 issue: 6 year: 2012 end-page: 190:11 article-title: A statistical similarity measure for aggregate crowd dynamics publication-title: ACM Transactions on Graphics (TOG) – start-page: 395 year: 2014 end-page: 406 – volume: 29 start-page: 123:1 issue: 4 year: 2010 end-page: 123:9 article-title: A synthetic‐vision based steering approach for crowd simulation publication-title: ACM Transactions on Graphics (TOG) – volume: 19 start-page: 271 issue: 3–4 year: 2008 end-page: 281 article-title: Agent‐based human behavior modeling for crowd simulation publication-title: Computer Animation and Virtual Worlds – start-page: 3 year: 2011 end-page: 19 – volume: 23 start-page: 1454 issue: 5 year: 2017 end-page: 1464 article-title: Trending paths: A new semantic‐level metric for comparing simulated and read crowd data publication-title: IEEE Transactions on Visualization and Computer Graphics – volume: 17 start-page: 244 issue: 2 year: 2011 end-page: 254 article-title: Directing crowd simulations using navigation fields publication-title: IEEE Transactions on Visualization and Computer Graphics – volume: 21 start-page: 387 issue: 3–4 year: 2010 end-page: 399 article-title: Spatial‐temporal patterns and pedestrian simulation publication-title: Computer Animation and Virtual Worlds – volume: 26 start-page: 665 issue: 3 year: 2007 end-page: 674 article-title: Pedestrian reactive navigation for crowd simulation: A predictive approach publication-title: Computer Graphics Forum – ident: e_1_2_8_10_1 doi: 10.1016/j.physa.2013.12.049 – ident: e_1_2_8_5_1 doi: 10.1145/3828.3830 – ident: e_1_2_8_6_1 doi: 10.1109/TVCG.2013.235 – ident: e_1_2_8_21_1 doi: 10.1111/j.1467-8659.2007.01090.x – ident: e_1_2_8_15_1 doi: 10.1111/j.1467-8659.2012.03028.x – ident: e_1_2_8_34_1 doi: 10.1088/1742-5468/2012/02/P02002 – ident: e_1_2_8_26_1 doi: 10.1007/978-3-642-19457-3_1 – ident: e_1_2_8_32_1 doi: 10.1109/WSC.2014.7019906 – ident: e_1_2_8_4_1 doi: 10.1111/cgf.12472 – ident: e_1_2_8_13_1 doi: 10.1145/1507149.1507185 – ident: e_1_2_8_22_1 – ident: e_1_2_8_3_1 doi: 10.1145/2786784.2786804 – ident: e_1_2_8_20_1 doi: 10.1007/978-3-642-24393-6_24 – ident: e_1_2_8_25_1 doi: 10.1145/1073368.1073371 – ident: e_1_2_8_7_1 doi: 10.1145/2366145.2366209 – ident: e_1_2_8_17_1 doi: 10.1371/journal.pone.0117856 – ident: e_1_2_8_14_1 doi: 10.1145/2915926.2915944 – ident: e_1_2_8_11_1 doi: 10.1002/cav.341 – ident: e_1_2_8_35_1 doi: 10.1145/2901378.2901382 – ident: e_1_2_8_2_1 – ident: e_1_2_8_9_1 doi: 10.1038/35035023 – ident: e_1_2_8_23_1 doi: 10.1109/TVCG.2010.33 – ident: e_1_2_8_27_1 – ident: e_1_2_8_31_1 doi: 10.1145/1842722.1842725 – ident: e_1_2_8_24_1 – ident: e_1_2_8_29_1 doi: 10.1145/2980179.2982442 – ident: e_1_2_8_33_1 doi: 10.1109/ICPR.2006.392 – ident: e_1_2_8_8_1 – ident: e_1_2_8_30_1 doi: 10.1109/TVCG.2016.2642963 – ident: e_1_2_8_16_1 doi: 10.1002/cav.238 – ident: e_1_2_8_12_1 doi: 10.1142/S0219525907001355 – start-page: 1 year: 2015 ident: e_1_2_8_18_1 article-title: A path‐based multi‐agent navigation model publication-title: The Visual Computer – ident: e_1_2_8_19_1 doi: 10.1145/1778765.1778860 – ident: e_1_2_8_28_1 doi: 10.1111/cgf.12328
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SubjectTerms	animation Behavior behavioural animation Categories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: 3D Graphics and Realism—Animation, I.6.5 [Simulation and Modelling]: Model Development—Modelling methodologies Computer simulation human simulation Modelling motion planning Simulation Steering
Title	ProactiveCrowd: Modelling Proactive Steering Behaviours for Agent‐Based Crowd Simulation
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