{"id":"https://openalex.org/W1972812568","doi":"https://doi.org/10.1145/2534329.2534332","title":"Context-sensitive data-driven crowd simulation","display_name":"Context-sensitive data-driven crowd simulation","publication_year":2013,"publication_date":"2013-11-17","ids":{"openalex":"https://openalex.org/W1972812568","doi":"https://doi.org/10.1145/2534329.2534332","mag":"1972812568"},"language":"en","primary_location":{"id":"doi:10.1145/2534329.2534332","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2534329.2534332","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":"conference-paper","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/A5032694181","display_name":"Cory D. Boatright","orcid":null},"institutions":[{"id":"https://openalex.org/I181598100","display_name":"Grove City College","ror":"https://ror.org/01755xe07","country_code":"US","type":"education","lineage":["https://openalex.org/I181598100"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cory D. Boatright","raw_affiliation_strings":["University of Pennsylvania and Grove City College","University of Pennsylvania and Grove City College#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania and Grove City College","institution_ids":["https://openalex.org/I181598100"]},{"raw_affiliation_string":"University of Pennsylvania and Grove City College#TAB#","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069589954","display_name":"Mubbasir Kapadia","orcid":"https://orcid.org/0000-0002-3501-0028"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mubbasir Kapadia","raw_affiliation_strings":["University of Pennsylvania","#N# * University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]},{"raw_affiliation_string":"#N# * University of Pennsylvania","institution_ids":["https://openalex.org/I36788626","https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016108121","display_name":"Jennie M. Shapira","orcid":null},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennie M. Shapira","raw_affiliation_strings":["University of Pennsylvania","#N# * University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]},{"raw_affiliation_string":"#N# * University of Pennsylvania","institution_ids":["https://openalex.org/I36788626","https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001979394","display_name":"Norman I. Badler","orcid":"https://orcid.org/0000-0001-8659-3828"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]},{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Norman I. Badler","raw_affiliation_strings":["University of Pennsylvania","#N# * University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania","institution_ids":["https://openalex.org/I36788626"]},{"raw_affiliation_string":"#N# * University of Pennsylvania","institution_ids":["https://openalex.org/I36788626","https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9998999834060669,"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":0.9998999834060669,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10524","display_name":"Traffic control and management","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/computer-science","display_name":"Computer science","score":0.7652555108070374},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.640266478061676},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.6240642070770264},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5820324420928955},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5785700082778931},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.5433819890022278},{"id":"https://openalex.org/keywords/crowd-simulation","display_name":"Crowd simulation","score":0.5305054187774658},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5144941806793213},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5055785179138184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5001976490020752},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4672204256057739},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.45060089230537415},{"id":"https://openalex.org/keywords/crowd-psychology","display_name":"Crowd psychology","score":0.4449827969074249},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41914474964141846},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3894088864326477},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.22781726717948914},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10943108797073364},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.0986204743385315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652555108070374},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.640266478061676},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.6240642070770264},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5820324420928955},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5785700082778931},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.5433819890022278},{"id":"https://openalex.org/C45617602","wikidata":"https://www.wikidata.org/wiki/Q465266","display_name":"Crowd simulation","level":3,"score":0.5305054187774658},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5144941806793213},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5055785179138184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5001976490020752},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4672204256057739},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.45060089230537415},{"id":"https://openalex.org/C44042526","wikidata":"https://www.wikidata.org/wiki/Q1355183","display_name":"Crowd psychology","level":2,"score":0.4449827969074249},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41914474964141846},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3894088864326477},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.22781726717948914},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10943108797073364},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0986204743385315},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2534329.2534332","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2534329.2534332","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","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309370","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1496546024","https://openalex.org/W1532297966","https://openalex.org/W1967907012","https://openalex.org/W1970206276","https://openalex.org/W2018028329","https://openalex.org/W2018193765","https://openalex.org/W2020895320","https://openalex.org/W2036586770","https://openalex.org/W2057226585","https://openalex.org/W2087760063","https://openalex.org/W2105573591","https://openalex.org/W2109727655","https://openalex.org/W2142943472","https://openalex.org/W2145175424","https://openalex.org/W2150312211","https://openalex.org/W2165585517","https://openalex.org/W2167052694","https://openalex.org/W2208132734","https://openalex.org/W2293527364","https://openalex.org/W2295440603","https://openalex.org/W2911613207","https://openalex.org/W2914391295","https://openalex.org/W3175510091","https://openalex.org/W4234406933","https://openalex.org/W6676103783"],"related_works":["https://openalex.org/W3114736933","https://openalex.org/W2189920449","https://openalex.org/W2145709447","https://openalex.org/W3096912411","https://openalex.org/W1555506539","https://openalex.org/W2347937906","https://openalex.org/W2158902531","https://openalex.org/W3043995842","https://openalex.org/W2077952221","https://openalex.org/W135395861"],"abstract_inverted_index":{"In":[0],"terms":[1],"of":[2,8,28,45,51,106,109,136,153,192],"computation,":[3],"steering":[4,79,110],"through":[5,42],"a":[6,11,34,43,66,75,107,129],"crowd":[7,44,81],"pedestrians":[9],"is":[10,17,47,104,155],"challenging":[12],"task.":[13],"The":[14,55,102],"problem":[15,86],"space":[16,87],"inherently":[18],"high-dimensional,":[19],"with":[20,181],"each":[21],"added":[22],"agent":[23],"giving":[24],"yet":[25],"another":[26],"set":[27,65],"parameters":[29],"to":[30,120,133,157,188],"consider":[31],"while":[32,62],"finding":[33],"solution.":[35],"Yet":[36],"in":[37,80],"the":[38,52,59,85,92,123,134,159,165,170,182],"real":[39],"world,":[40,94],"navigating":[41],"people":[46,57],"very":[48],"similar":[49],"regardless":[50],"population":[53],"size.":[54],"closest":[56],"have":[58,128],"most":[60],"impact":[61],"those":[63],"distant":[64],"more":[67],"general":[68,93],"strategy.":[69],"To":[70],"this":[71],"end,":[72],"we":[73],"propose":[74],"data-driven":[76,199],"system":[77,103],"for":[78,91,98,145,169,194],"simulations":[82],"by":[83],"splitting":[84],"into":[88],"coarse":[89],"features":[90,97],"and":[95,164,185],"fine":[96],"other":[99],"agents":[100,187,196],"nearby.":[101],"comprised":[105],"collection":[108],"contexts,":[111],"which":[112,140],"are":[113],"qualitatively":[114],"different":[115],"overall":[116],"traffic":[117],"patterns.":[118],"Due":[119],"their":[121],"similarity,":[122],"scenarios":[124],"within":[125],"these":[126],"contexts":[127],"machine-learned":[130],"model":[131],"fit":[132],"data":[135],"an":[137,143,189],"offline":[138,183],"planner":[139,184],"serves":[141],"as":[142],"oracle":[144],"generating":[146],"synthetic":[147],"training":[148],"data.":[149],"An":[150],"additional":[151],"layer":[152],"machine-learning":[154],"used":[156],"select":[158],"current":[160],"context":[161],"at":[162],"runtime,":[163],"context's":[166],"policy":[167],"consulted":[168],"agent's":[171],"next":[172],"step.":[173],"We":[174],"experienced":[175],"speedup":[176],"from":[177],"hours":[178],"per":[179],"scenario":[180],"10":[186],"interactive":[190],"framerate":[191],"10FPS":[193],"3,000":[195],"using":[197],"our":[198],"technique.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}