{"id":"https://openalex.org/W2047547032","doi":"https://doi.org/10.1145/2534329.2534337","title":"Simulating the local behavior of small pedestrian groups using synthetic-vision based steering approach","display_name":"Simulating the local behavior of small pedestrian groups using synthetic-vision based steering approach","publication_year":2013,"publication_date":"2013-11-17","ids":{"openalex":"https://openalex.org/W2047547032","doi":"https://doi.org/10.1145/2534329.2534337","mag":"2047547032"},"language":"en","primary_location":{"id":"doi:10.1145/2534329.2534337","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2534329.2534337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027767246","display_name":"Qianqian Wu","orcid":"https://orcid.org/0000-0002-8402-4055"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Wu","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039951888","display_name":"Qingge Ji","orcid":"https://orcid.org/0000-0002-1207-2410"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingge Ji","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030034449","display_name":"Jinghong Du","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghong Du","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103085231","display_name":"Xiaolian Li","orcid":"https://orcid.org/0000-0002-9342-0367"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolian Li","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5853,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91819247,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.8539916276931763},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7956271171569824},{"id":"https://openalex.org/keywords/crowd-simulation","display_name":"Crowd simulation","score":0.7561138868331909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7103442549705505},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5867950320243835},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.56361323595047},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.5199107527732849},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5163606405258179},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4882219135761261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41738444566726685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36719053983688354},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3317687511444092},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3255169987678528},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1416730284690857},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.08740276098251343}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.8539916276931763},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7956271171569824},{"id":"https://openalex.org/C45617602","wikidata":"https://www.wikidata.org/wiki/Q465266","display_name":"Crowd simulation","level":3,"score":0.7561138868331909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7103442549705505},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5867950320243835},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.56361323595047},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.5199107527732849},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5163606405258179},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4882219135761261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41738444566726685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36719053983688354},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3317687511444092},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3255169987678528},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1416730284690857},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.08740276098251343},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2534329.2534337","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2534329.2534337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G3906374769","display_name":"\u9762\u5411\u516c\u5171\u5b89\u5168\u7684\u4eba\u7fa4\u884c\u4e3a\u5efa\u6a21\u53ca\u865a\u62df\u4eba\u7fa4\u4eff\u771f\u6280\u672f\u7814\u7a76","funder_award_id":"60473109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5826667541","display_name":"\u53ef\u89c6\u5a92\u4f53\u667a\u80fd\u5904\u7406\u7406\u8bba\u548c\u4f20\u8f93\u65b9\u6cd5\u7814\u7a76","funder_award_id":"U0735001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W192919555","https://openalex.org/W1535043448","https://openalex.org/W1556944053","https://openalex.org/W1574709890","https://openalex.org/W1869163116","https://openalex.org/W1888172398","https://openalex.org/W1970206276","https://openalex.org/W2000790002","https://openalex.org/W2002440441","https://openalex.org/W2018028329","https://openalex.org/W2028545909","https://openalex.org/W2036016432","https://openalex.org/W2036586770","https://openalex.org/W2037525546","https://openalex.org/W2051347688","https://openalex.org/W2089584121","https://openalex.org/W2099593662","https://openalex.org/W2104691494","https://openalex.org/W2111112078","https://openalex.org/W2117211893","https://openalex.org/W2129746290","https://openalex.org/W2130476529","https://openalex.org/W2141841319","https://openalex.org/W2142943472","https://openalex.org/W2144014493","https://openalex.org/W2145175424","https://openalex.org/W2150312211","https://openalex.org/W2295440603","https://openalex.org/W2400581990","https://openalex.org/W4234406933"],"related_works":["https://openalex.org/W1749168706","https://openalex.org/W2036586770","https://openalex.org/W606709926","https://openalex.org/W2980347456","https://openalex.org/W1643071209","https://openalex.org/W2911613207","https://openalex.org/W3043995842","https://openalex.org/W2094931707","https://openalex.org/W4299159492","https://openalex.org/W2944838502"],"abstract_inverted_index":{"With":[0],"the":[1,12,59,85,98],"development":[2],"of":[3,35,55,76,88,101],"Computer":[4],"Graphics":[5],"and":[6,19,37,46,58,73],"Virtual":[7],"Reality":[8],"technology,":[9],"crowds":[10],"in":[11,32,39,104],"virtual":[13],"worlds":[14],"have":[15],"become":[16],"increasingly":[17],"lively":[18],"appealing.":[20],"However,":[21],"few":[22],"existing":[23],"methods":[24],"take":[25],"into":[26],"account":[27],"that":[28,93],"pedestrians":[29],"usually":[30],"walk":[31],"small":[33,56,77,89,102],"groups":[34,57,103],"twos":[36],"threes":[38],"real":[40,105],"life,":[41],"for":[42],"instance,":[43],"shopping":[44],"couples":[45],"partners.":[47],"Our":[48],"research":[49],"is":[50],"based":[51,66],"on":[52],"dynamic":[53],"behavior":[54,87,100],"interaction":[60],"between":[61],"them.":[62],"By":[63],"using":[64],"synthetic-vision":[65],"steering":[67],"approach,":[68],"combining":[69],"with":[70],"formation":[71],"characteristics":[72],"deformation":[74],"mode":[75],"groups,":[78],"we":[79],"propose":[80],"an":[81],"approach":[82],"to":[83],"simulate":[84],"local":[86,99],"groups.":[90],"Experiments":[91],"show":[92],"our":[94],"method":[95],"can":[96],"reproduce":[97],"life.":[106]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
