{"id":"https://openalex.org/W3080252065","doi":"https://doi.org/10.1145/3394486.3403127","title":"Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks","display_name":"Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3080252065","doi":"https://doi.org/10.1145/3394486.3403127","mag":"3080252065"},"language":"en","primary_location":{"id":"doi:10.1145/3394486.3403127","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","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/A5074277827","display_name":"Yingxue Zhang","orcid":"https://orcid.org/0000-0002-0947-1875"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yingxue Zhang","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630059","display_name":"Yanhua Li","orcid":"https://orcid.org/0000-0001-8972-503X"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanhua Li","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086198510","display_name":"Xun Zhou","orcid":"https://orcid.org/0000-0003-4930-6572"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xun Zhou","raw_affiliation_strings":["University of Iowa, Iowa City, IA, USA"],"affiliations":[{"raw_affiliation_string":"University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002930471","display_name":"Xiangnan Kong","orcid":"https://orcid.org/0000-0002-7403-5869"},"institutions":[{"id":"https://openalex.org/I107077323","display_name":"Worcester Polytechnic Institute","ror":"https://ror.org/05ejpqr48","country_code":"US","type":"education","lineage":["https://openalex.org/I107077323"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiangnan Kong","raw_affiliation_strings":["Worcester Polytechnic Institute, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Worcester Polytechnic Institute, Worcester, MA, USA","institution_ids":["https://openalex.org/I107077323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106731907","display_name":"Jun Luo","orcid":"https://orcid.org/0000-0002-2032-0381"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Luo","raw_affiliation_strings":["Lenovo Group Limited, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Lenovo Group Limited, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I4210156165"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5074277827"],"corresponding_institution_ids":["https://openalex.org/I107077323"],"apc_list":null,"apc_paid":null,"fwci":4.4548,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.9467648,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"842","last_page":"852"},"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/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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9955999851226807,"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":0.7216962575912476},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5836824178695679},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5672472715377808},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5187985301017761},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.48975038528442383},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4884902238845825},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4139150381088257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28586524724960327},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16908392310142517},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09520027041435242}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7216962575912476},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5836824178695679},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5672472715377808},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5187985301017761},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.48975038528442383},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4884902238845825},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4139150381088257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28586524724960327},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16908392310142517},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09520027041435242},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394486.3403127","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3403127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G6274753584","display_name":null,"funder_award_id":"1657350","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"},{"id":"https://openalex.org/G8063136077","display_name":null,"funder_award_id":"1942680","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"},{"id":"https://openalex.org/G8761899520","display_name":null,"funder_award_id":"1831140","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"}],"funders":[{"id":"https://openalex.org/F4320315617","display_name":"University Transportation Centers","ror":null},{"id":"https://openalex.org/F4320337388","display_name":"Division of Computer and Network Systems","ror":"https://ror.org/02rdzmk74"},{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W149424455","https://openalex.org/W1924770834","https://openalex.org/W1928680093","https://openalex.org/W1937847179","https://openalex.org/W1968060540","https://openalex.org/W1973749534","https://openalex.org/W2031346385","https://openalex.org/W2031674781","https://openalex.org/W2036785686","https://openalex.org/W2075433852","https://openalex.org/W2112738128","https://openalex.org/W2125389028","https://openalex.org/W2163128056","https://openalex.org/W2172041433","https://openalex.org/W2514012650","https://openalex.org/W2535805784","https://openalex.org/W2537914016","https://openalex.org/W2559110679","https://openalex.org/W2613331518","https://openalex.org/W2626778328","https://openalex.org/W2768975186","https://openalex.org/W2788997482","https://openalex.org/W2798858969","https://openalex.org/W2808862972","https://openalex.org/W2809079004","https://openalex.org/W2895806569","https://openalex.org/W2905872298","https://openalex.org/W2951183276","https://openalex.org/W2952740813","https://openalex.org/W2964121744","https://openalex.org/W2978540613","https://openalex.org/W3003426638"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Given":[0],"an":[1],"urban":[2,41,104,109],"development":[3,42],"plan":[4,52],"and":[5,43,60,118,138,196],"the":[6,11,14,23,29,32,51,55,61,70,120,136,150,155,165,169],"historical":[7,71],"traffic":[8,25,90,141,170],"observations":[9],"over":[10],"road":[12,157],"network,":[13],"Conditional":[15,81],"Urban":[16,82],"Traffic":[17,83],"Estimation":[18],"problem":[19,35],"aims":[20],"to":[21,28,40,106,148,163],"estimate":[22],"resulting":[24],"status":[26],"prior":[27],"deployment":[30],"of":[31,37,168],"plan.":[33],"This":[34],"is":[36,47],"great":[38],"importance":[39],"transportation":[44],"management,":[45],"yet":[46],"very":[48],"challenging":[49],"because":[50],"would":[53],"change":[54],"local":[56,151],"travel":[57,63,100,133],"demands":[58,134],"drastically":[59],"new":[62],"demand":[64],"pattern":[65],"might":[66],"be":[67],"unprecedented":[68],"in":[69,92,190],"data.":[72],"To":[73],"tackle":[74],"these":[75],"challenges,":[76],"we":[77],"propose":[78],"a":[79,125],"novel":[80,127],"Generative":[84],"Adversarial":[85],"Network":[86],"(Curb-GAN),":[87],"which":[88],"provides":[89],"estimations":[91],"consecutive":[93],"time":[94,173],"slots":[95],"based":[96],"on":[97,177],"different":[98,172],"(unprecedented)":[99],"demands,":[101],"thus":[102],"enables":[103],"planners":[105],"accurately":[107],"evaluate":[108],"plans":[110],"before":[111],"deploying":[112],"them.":[113],"The":[114],"proposed":[115],"Curb-GAN":[116,185],"adopts":[117],"advances":[119],"conditional":[121],"GAN":[122],"structure":[123],"through":[124],"few":[126],"ideas:":[128],"(1)":[129],"dealing":[130],"with":[131],"various":[132,194],"as":[135],"\"conditions\"":[137],"generating":[139],"corresponding":[140],"estimations,":[142],"(2)":[143],"integrating":[144],"dynamic":[145],"convolutional":[146],"layers":[147],"capture":[149,164],"spatial":[152],"auto-correlations":[153],"along":[154],"underlying":[156],"networks,":[158],"(3)":[159],"employing":[160],"self-attention":[161],"mechanism":[162],"temporal":[166],"dependencies":[167],"across":[171],"slots.":[174],"Extensive":[175],"experiments":[176],"two":[178],"real-world":[179],"spatio-temporal":[180],"datasets":[181],"demonstrate":[182],"that":[183],"our":[184],"outperforms":[186],"major":[187],"baseline":[188],"methods":[189],"estimation":[191],"accuracy":[192],"under":[193],"conditions":[195],"can":[197],"produce":[198],"more":[199],"meaningful":[200],"estimations.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}