{"id":"https://openalex.org/W4361793667","doi":"https://doi.org/10.1145/3577530.3577553","title":"Research on Pedestrian Interaction Based on AgentNet","display_name":"Research on Pedestrian Interaction Based on AgentNet","publication_year":2022,"publication_date":"2022-12-09","ids":{"openalex":"https://openalex.org/W4361793667","doi":"https://doi.org/10.1145/3577530.3577553"},"language":"en","primary_location":{"id":"doi:10.1145/3577530.3577553","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577530.3577553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Computer Science and Artificial Intelligence","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/A5009654203","display_name":"Kang Li","orcid":"https://orcid.org/0000-0001-6702-2798"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kang Li","raw_affiliation_strings":["School of Information Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0001-6702-2798","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology of China, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030055498","display_name":"Zining Li","orcid":"https://orcid.org/0000-0002-7191-7591"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zining Li","raw_affiliation_strings":["School of Information Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0002-7191-7591","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology of China, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030827112","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0001-5181-3384"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Information Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0001-5181-3384","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology of China, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1468,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50726569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"142","last_page":"147"},"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/T10370","display_name":"Traffic and Road Safety","score":0.9955999851226807,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9839000105857849,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.9017398357391357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7994563579559326},{"id":"https://openalex.org/keywords/crowd-simulation","display_name":"Crowd simulation","score":0.5555167198181152},{"id":"https://openalex.org/keywords/interaction-model","display_name":"Interaction model","score":0.5275527834892273},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5112154483795166},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.42863041162490845},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4254254996776581},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4233250916004181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37228769063949585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3527674973011017},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33163851499557495},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.2651599645614624},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23394882678985596},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11369407176971436},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.06971603631973267},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06637710332870483}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.9017398357391357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7994563579559326},{"id":"https://openalex.org/C45617602","wikidata":"https://www.wikidata.org/wiki/Q465266","display_name":"Crowd simulation","level":3,"score":0.5555167198181152},{"id":"https://openalex.org/C2780806968","wikidata":"https://www.wikidata.org/wiki/Q6045196","display_name":"Interaction model","level":2,"score":0.5275527834892273},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5112154483795166},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.42863041162490845},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4254254996776581},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4233250916004181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37228769063949585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3527674973011017},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33163851499557495},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.2651599645614624},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23394882678985596},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11369407176971436},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.06971603631973267},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06637710332870483},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3577530.3577553","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577530.3577553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 6th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W637429218","https://openalex.org/W1542263132","https://openalex.org/W1984149429","https://openalex.org/W2021949775","https://openalex.org/W2044690406","https://openalex.org/W2055005740","https://openalex.org/W2080864550","https://openalex.org/W2136712200","https://openalex.org/W2142943472","https://openalex.org/W2144289036","https://openalex.org/W2556862487","https://openalex.org/W2789484124","https://openalex.org/W2951093250","https://openalex.org/W4234122739"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W2101960027","https://openalex.org/W2036586770","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W1963781018","https://openalex.org/W4376137772","https://openalex.org/W305336286","https://openalex.org/W12794076"],"abstract_inverted_index":{"Pedestrian":[0],"interaction":[1,16,22,42,73,117],"is":[2,25,44,75],"a":[3],"key":[4],"issue":[5],"in":[6,23,102,110],"virtual":[7],"crowd":[8,24,86,108],"simulation":[9,52,90,109],"research.":[10],"Most":[11],"existing":[12],"researches":[13],"describe":[14],"multi-agent":[15],"through":[17],"empirical":[18],"rules,":[19],"while":[20],"pedestrian":[21,41,72,116],"difficult":[26],"to":[27,82],"be":[28],"modeled":[29],"simply":[30],"by":[31,59],"several":[32],"rules":[33],"or":[34],"simple":[35],"models.":[36],"In":[37],"this":[38,103],"paper,":[39],"the":[40,48,51,55,60,84,89,96,114,121],"model":[43,56],"automatically":[45],"extracted":[46],"from":[47],"datasets":[49],"and":[50,77,87,113],"results":[53,93],"of":[54,62,65,125],"are":[57,80],"evaluated":[58],"method":[61,100],"data-driven":[63],"modeling":[64,99],"complex":[66,78,97,122],"systems":[67],"based":[68],"on":[69],"AgentNet.":[70],"The":[71],"map":[74],"established":[76,115],"features":[79],"introduced":[81],"evaluate":[83,120],"real":[85],"compare":[88],"results.":[91],"Experimental":[92],"show":[94],"that":[95],"system":[98,123],"used":[101],"paper":[104],"can":[105,119],"better":[106],"realize":[107],"general":[111],"scenarios,":[112],"graph":[118],"characteristics":[124],"crowd.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
