{"id":"https://openalex.org/W4281757841","doi":"https://doi.org/10.1145/3518997.3531022","title":"A Data-Driven Approach for Pedestrian Intention Prediction in Large Public Places","display_name":"A Data-Driven Approach for Pedestrian Intention Prediction in Large Public Places","publication_year":2022,"publication_date":"2022-06-08","ids":{"openalex":"https://openalex.org/W4281757841","doi":"https://doi.org/10.1145/3518997.3531022"},"language":"en","primary_location":{"id":"doi:10.1145/3518997.3531022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3518997.3531022","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 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","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/A5089695962","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0002-8453-2527"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081658553","display_name":"Jinghui Zhong","orcid":"https://orcid.org/0000-0003-0113-3430"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghui Zhong","raw_affiliation_strings":["South China University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036580072","display_name":"Wentong Cai","orcid":"https://orcid.org/0000-0002-0183-3835"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wentong Cai","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1554,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45015748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9980000257492065,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.8577423095703125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7064533233642578},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6268764138221741},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5586105585098267},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5277089476585388},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4259869456291199},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42113935947418213},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4003548324108124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39218246936798096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3873492479324341},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.20003864169120789},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19471988081932068},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15418773889541626}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.8577423095703125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064533233642578},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6268764138221741},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5586105585098267},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5277089476585388},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4259869456291199},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42113935947418213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4003548324108124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39218246936798096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3873492479324341},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.20003864169120789},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19471988081932068},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15418773889541626},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3518997.3531022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3518997.3531022","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 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7300000190734863,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2117497855","https://openalex.org/W2286744228","https://openalex.org/W2314301430","https://openalex.org/W2734733109","https://openalex.org/W2766530738","https://openalex.org/W2914871984","https://openalex.org/W2921426834","https://openalex.org/W3008700642","https://openalex.org/W3033920763","https://openalex.org/W3104199544","https://openalex.org/W3106257603","https://openalex.org/W3129163909","https://openalex.org/W4241069851"],"related_works":["https://openalex.org/W4318612353","https://openalex.org/W3160244858","https://openalex.org/W4312949351","https://openalex.org/W4379532240","https://openalex.org/W4221031036","https://openalex.org/W4223943233","https://openalex.org/W4366376591","https://openalex.org/W2039503904","https://openalex.org/W3017753816","https://openalex.org/W2999572232"],"abstract_inverted_index":{"Pedestrian":[0],"intention":[1,18,32],"prediction":[2,111],"is":[3,67],"an":[4,97],"important":[5],"issue":[6],"in":[7,24,91],"crowd":[8],"modeling":[9],"and":[10],"simulation.":[11],"Existing":[12],"approaches":[13],"focus":[14],"on":[15,59,71],"short":[16],"term":[17,31,46],"prediction,":[19],"which":[20],"limits":[21],"their":[22],"applications":[23],"large":[25],"public":[26],"places":[27],"that":[28,105],"require":[29],"long":[30,45],"prediction.":[33],"To":[34,82],"this":[35,37],"end,":[36],"paper":[38],"proposes":[39],"a":[40,92],"data-driven":[41],"approach":[42,90,107],"to":[43,75],"predict":[44,76],"pedestrian":[47],"intention.":[48],"In":[49],"the":[50,72,77,88],"proposed":[51,89],"approach,":[52],"local":[53],"velocity":[54,73],"fields":[55,74],"are":[56],"constructed":[57],"based":[58,70],"historical":[60],"trajectories":[61],"of":[62,80],"pedestrians.":[63,81],"A":[64],"similarity":[65],"function":[66],"further":[68],"defined":[69],"intermediate":[78],"destinations":[79],"evaluate":[83],"its":[84],"effectiveness,":[85],"we":[86],"evaluated":[87],"real":[93],"world":[94],"example":[95],"\u2013":[96],"airport":[98],"terminal.":[99],"The":[100],"simulation":[101],"results":[102],"have":[103],"demonstrated":[104],"our":[106],"can":[108],"offer":[109],"effective":[110],"performance.":[112]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
