{"id":"https://openalex.org/W3149667390","doi":"https://doi.org/10.1145/3439346","title":"Jointly Modeling Spatio\u2013Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction","display_name":"Jointly Modeling Spatio\u2013Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction","publication_year":2021,"publication_date":"2021-03-26","ids":{"openalex":"https://openalex.org/W3149667390","doi":"https://doi.org/10.1145/3439346","mag":"3149667390"},"language":"en","primary_location":{"id":"doi:10.1145/3439346","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3439346","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5082218936","display_name":"Tianzi Zang","orcid":"https://orcid.org/0000-0001-9390-3740"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianzi Zang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113427468","display_name":"Yanmin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanmin Zhu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102927219","display_name":"Yanan Xu","orcid":"https://orcid.org/0000-0003-3794-4374"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Xu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012589427","display_name":"Jiadi Yu","orcid":"https://orcid.org/0000-0002-0207-9643"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiadi Yu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082218936"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.3724,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.8708455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"15","issue":"4","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9983999729156494,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7716240882873535},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6160508394241333},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.571204423904419},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5504167079925537},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5323190093040466},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.4634411633014679},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4593435227870941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43603309988975525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.332721471786499},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10391360521316528},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07513576745986938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7716240882873535},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6160508394241333},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.571204423904419},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5504167079925537},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5323190093040466},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.4634411633014679},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4593435227870941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43603309988975525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.332721471786499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10391360521316528},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07513576745986938},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3439346","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3439346","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G562939770","display_name":null,"funder_award_id":"62072304, 61772341, 61472254, and 61770238","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6808439292","display_name":null,"funder_award_id":"18511103002, 19510760500, and 19511101500","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1529430712","https://openalex.org/W1888005072","https://openalex.org/W1973943669","https://openalex.org/W1988580225","https://openalex.org/W2004353783","https://openalex.org/W2064675550","https://openalex.org/W2102148524","https://openalex.org/W2103448012","https://openalex.org/W2145039203","https://openalex.org/W2156206597","https://openalex.org/W2528639018","https://openalex.org/W2530386080","https://openalex.org/W2565330852","https://openalex.org/W2579495707","https://openalex.org/W2608239929","https://openalex.org/W2624190409","https://openalex.org/W2744043447","https://openalex.org/W2750303327","https://openalex.org/W2756203131","https://openalex.org/W2782920454","https://openalex.org/W2788134583","https://openalex.org/W2801575714","https://openalex.org/W2802508687","https://openalex.org/W2807894308","https://openalex.org/W2808377988","https://openalex.org/W2808862972","https://openalex.org/W2809035759","https://openalex.org/W2884128153","https://openalex.org/W2890385714","https://openalex.org/W2903871660","https://openalex.org/W2904449562","https://openalex.org/W2904813135","https://openalex.org/W2941822881","https://openalex.org/W2963945905","https://openalex.org/W2964927812","https://openalex.org/W2965399951","https://openalex.org/W2989010797","https://openalex.org/W3000301417","https://openalex.org/W3004285114","https://openalex.org/W3034944009","https://openalex.org/W3093630530","https://openalex.org/W3103720336","https://openalex.org/W3105705953","https://openalex.org/W4247950230"],"related_works":["https://openalex.org/W3018282762","https://openalex.org/W2558055997","https://openalex.org/W2791183434","https://openalex.org/W2353369313","https://openalex.org/W2086339586","https://openalex.org/W4300782058","https://openalex.org/W2394387726","https://openalex.org/W2378724474","https://openalex.org/W4389146154","https://openalex.org/W1472269183"],"abstract_inverted_index":{"Crowd":[0],"flow":[1,100,114,142,161],"prediction":[2],"is":[3,44,49],"a":[4,14,19,45,96,127,134],"vital":[5],"problem":[6],"for":[7,138],"an":[8],"intelligent":[9],"transportation":[10],"system":[11],"construction":[12],"in":[13,22,74],"smart":[15],"city.":[16],"It":[17],"plays":[18],"crucial":[20],"role":[21],"traffic":[23],"management":[24],"and":[25,42,79,101,153,159,180],"behavioral":[26],"analysis,":[27],"thus":[28],"it":[29],"has":[30,95],"raised":[31],"great":[32],"attention":[33],"from":[34,108],"many":[35,52],"researchers.":[36],"However,":[37],"predicting":[38],"crowd":[39,64,85,141],"flows":[40,86],"timely":[41],"accurately":[43],"challenging":[46],"task":[47],"that":[48,92,182],"affected":[50],"by":[51],"complex":[53],"factors":[54],"such":[55,72],"as":[56],"the":[57,174,177],"dependencies":[58,73,158],"of":[59,87,147,176],"adjacent":[60],"regions":[61,103],"or":[62,76],"recent":[63],"flows.":[65],"Existing":[66],"models":[67],"mainly":[68],"focus":[69],"on":[70,168],"capturing":[71],"spatial":[75],"temporal":[77],"domains":[78],"fail":[80],"to":[81,155,172],"model":[82,129,145,156,179,184],"relations":[83],"between":[84],"distant":[88],"regions.":[89],"We":[90,164],"notice":[91],"each":[93,109],"region":[94],"relatively":[97],"fixed":[98],"daily":[99,160],"some":[102],"(even":[104],"very":[105],"far":[106],"away":[107],"other)":[110],"may":[111],"share":[112],"similar":[113],"patterns":[115],"which":[116,132],"show":[117,181],"strong":[118],"correlations":[119],"among":[120],"them.":[121],"In":[122],"this":[123],"article,":[124],"we":[125],"propose":[126],"novel":[128],"named":[130,151],"Double-Encoder":[131],"follows":[133],"general":[135],"encoder\u2013decoder":[136],"framework":[137],"multi-step":[139],"citywide":[140],"prediction.":[143],"The":[144],"consists":[146],"two":[148,169],"encoder":[149],"modules":[150],"ST-Encoder":[152],"FR-Encoder":[154],"spatial-temporal":[157],"correlations,":[162],"respectively.":[163],"conduct":[165],"extensive":[166],"experiments":[167],"real-world":[170],"datasets":[171],"evaluate":[173],"performance":[175],"proposed":[178],"our":[183],"consistently":[185],"outperforms":[186],"state-of-the-art":[187],"methods.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}