{"id":"https://openalex.org/W4381747191","doi":"https://doi.org/10.1109/percomworkshops56833.2023.10150301","title":"CrowdFlowTransformer: Capturing Spatio-Temporal Dependence for Forecasting Human Mobility","display_name":"CrowdFlowTransformer: Capturing Spatio-Temporal Dependence for Forecasting Human Mobility","publication_year":2023,"publication_date":"2023-03-13","ids":{"openalex":"https://openalex.org/W4381747191","doi":"https://doi.org/10.1109/percomworkshops56833.2023.10150301"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops56833.2023.10150301","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/percomworkshops56833.2023.10150301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","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/A5092246171","display_name":"Tomoki Choya","orcid":null},"institutions":[{"id":"https://openalex.org/I130137553","display_name":"Aichi University","ror":"https://ror.org/0172hvg27","country_code":"JP","type":"education","lineage":["https://openalex.org/I130137553"]},{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomoki Choya","raw_affiliation_strings":["Graduate school of Engineering, Nagoya University,Aichi,Japan","Graduate school of Engineering, Nagoya University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate school of Engineering, Nagoya University,Aichi,Japan","institution_ids":["https://openalex.org/I60134161","https://openalex.org/I130137553"]},{"raw_affiliation_string":"Graduate school of Engineering, Nagoya University, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017820855","display_name":"Naoki Tamura","orcid":"https://orcid.org/0000-0002-3362-697X"},"institutions":[{"id":"https://openalex.org/I130137553","display_name":"Aichi University","ror":"https://ror.org/0172hvg27","country_code":"JP","type":"education","lineage":["https://openalex.org/I130137553"]},{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Tamura","raw_affiliation_strings":["Graduate school of Engineering, Nagoya University,Aichi,Japan","Graduate school of Engineering, Nagoya University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate school of Engineering, Nagoya University,Aichi,Japan","institution_ids":["https://openalex.org/I60134161","https://openalex.org/I130137553"]},{"raw_affiliation_string":"Graduate school of Engineering, Nagoya University, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002452411","display_name":"Shin Katayama","orcid":"https://orcid.org/0000-0002-5614-4412"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]},{"id":"https://openalex.org/I130137553","display_name":"Aichi University","ror":"https://ror.org/0172hvg27","country_code":"JP","type":"education","lineage":["https://openalex.org/I130137553"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin Katayama","raw_affiliation_strings":["Graduate school of Engineering, Nagoya University,Aichi,Japan","Graduate school of Engineering, Nagoya University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate school of Engineering, Nagoya University,Aichi,Japan","institution_ids":["https://openalex.org/I60134161","https://openalex.org/I130137553"]},{"raw_affiliation_string":"Graduate school of Engineering, Nagoya University, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044005499","display_name":"Kenta Urano","orcid":"https://orcid.org/0000-0003-2906-537X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]},{"id":"https://openalex.org/I130137553","display_name":"Aichi University","ror":"https://ror.org/0172hvg27","country_code":"JP","type":"education","lineage":["https://openalex.org/I130137553"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Urano","raw_affiliation_strings":["Graduate school of Engineering, Nagoya University,Aichi,Japan","Graduate school of Engineering, Nagoya University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate school of Engineering, Nagoya University,Aichi,Japan","institution_ids":["https://openalex.org/I60134161","https://openalex.org/I130137553"]},{"raw_affiliation_string":"Graduate school of Engineering, Nagoya University, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083114149","display_name":"Takuro Yonezawa","orcid":"https://orcid.org/0000-0001-9781-0402"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]},{"id":"https://openalex.org/I130137553","display_name":"Aichi University","ror":"https://ror.org/0172hvg27","country_code":"JP","type":"education","lineage":["https://openalex.org/I130137553"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuro Yonezawa","raw_affiliation_strings":["Graduate school of Engineering, Nagoya University,Aichi,Japan","Graduate school of Engineering, Nagoya University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate school of Engineering, Nagoya University,Aichi,Japan","institution_ids":["https://openalex.org/I60134161","https://openalex.org/I130137553"]},{"raw_affiliation_string":"Graduate school of Engineering, Nagoya University, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045353484","display_name":"Nobuo Kawaguchi","orcid":"https://orcid.org/0000-0002-0444-2290"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]},{"id":"https://openalex.org/I130137553","display_name":"Aichi University","ror":"https://ror.org/0172hvg27","country_code":"JP","type":"education","lineage":["https://openalex.org/I130137553"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuo Kawaguchi","raw_affiliation_strings":["Graduate school of Engineering, Nagoya University,Aichi,Japan","Graduate school of Engineering, Nagoya University, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate school of Engineering, Nagoya University,Aichi,Japan","institution_ids":["https://openalex.org/I60134161","https://openalex.org/I130137553"]},{"raw_affiliation_string":"Graduate school of Engineering, Nagoya University, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5092246171"],"corresponding_institution_ids":["https://openalex.org/I130137553","https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":0.735,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76451119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7924277186393738},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6202415823936462},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.46443021297454834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4355882704257965},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4184529781341553},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38759979605674744},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33024126291275024},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10963425040245056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7924277186393738},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6202415823936462},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.46443021297454834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4355882704257965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4184529781341553},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38759979605674744},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33024126291275024},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10963425040245056},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomworkshops56833.2023.10150301","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/percomworkshops56833.2023.10150301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2530386080","https://openalex.org/W2782791108","https://openalex.org/W2793820729","https://openalex.org/W2805992315","https://openalex.org/W2896457183","https://openalex.org/W2898987694","https://openalex.org/W2903871660","https://openalex.org/W2954731415","https://openalex.org/W2962790412","https://openalex.org/W2963358464","https://openalex.org/W2963951265","https://openalex.org/W2964110616","https://openalex.org/W2972229264","https://openalex.org/W3000386982","https://openalex.org/W3030833394","https://openalex.org/W3034749137","https://openalex.org/W3038981236","https://openalex.org/W3165427653","https://openalex.org/W6746015598","https://openalex.org/W6764679822"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W3154635860","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W4390590544","https://openalex.org/W2096195258","https://openalex.org/W2990460313"],"abstract_inverted_index":{"Crowd":[0,31],"flow":[1,32,140],"forecasting":[2,33,74,148],"is":[3,34],"expected":[4],"to":[5,120,136],"have":[6],"a":[7,64,85,137],"wide":[8],"range":[9],"of":[10,43,48,98,123],"applications":[11],"such":[12,28],"as":[13,29],"human":[14],"resource":[15],"allocation,":[16],"guidance":[17],"design,":[18],"marketing,":[19],"disaster":[20],"mitigation":[21],"and":[22,50,75,81,125,153],"congestion":[23],"prediction":[24],"for":[25,66,73],"avoiding":[26],"epidemic":[27],"COVID-19.":[30],"challenging":[35],"because":[36],"it":[37,144],"requires":[38],"considering":[39],"both":[40],"the":[41,45,52,95,103,114,121,130,154,161],"task":[42],"capturing":[44,51],"temporal":[46],"dependency":[47,97,106],"data":[49],"spatial":[53],"dependence.":[54],"To":[55],"address":[56],"these":[57],"challenges,":[58],"in":[59],"this":[60],"paper,":[61],"we":[62,82],"propose":[63],"mechanism":[65],"referencing":[67],"time-series":[68],"features":[69,128],"that":[70,157],"are":[71],"important":[72,109],"incorporating":[76],"graph":[77],"convolution":[78],"into":[79,129],"Transformer,":[80,124],"introduce":[83],"CrowdFlowTransformer(CF-Transformer),":[84],"deep":[86],"learning":[87],"model":[88,159],"based":[89],"on":[90],"Google's":[91],"Transformer":[92],"framework":[93],"captures":[94,102],"Spatio-temporal":[96],"time":[99,104,111,116],"series.":[100],"CF-Transformer":[101,135],"series":[105,112],"by":[107,145],"extracting":[108],"local":[110],"from":[113],"past":[115],"series,":[117],"inputting":[118],"them":[119],"decoder":[122],"encoding":[126],"critical":[127],"model's":[131],"input.":[132],"We":[133,142],"adapted":[134],"real-world":[138],"crowd":[139],"dataset.":[141],"evaluated":[143],"comparing":[146],"its":[147],"accuracy":[149],"with":[150],"conventional":[151,162],"models,":[152],"results":[155],"demonstrate":[156],"our":[158],"outperforms":[160],"models.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}