{"id":"https://openalex.org/W4313168581","doi":"https://doi.org/10.1109/tvt.2022.3217521","title":"Limi-TFP: Citywide Traffic Flow Prediction With Limited Road Status Information","display_name":"Limi-TFP: Citywide Traffic Flow Prediction With Limited Road Status Information","publication_year":2022,"publication_date":"2022-11-04","ids":{"openalex":"https://openalex.org/W4313168581","doi":"https://doi.org/10.1109/tvt.2022.3217521"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2022.3217521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3217521","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","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/A5029766703","display_name":"Qiuyang Huang","orcid":"https://orcid.org/0000-0002-0000-6635"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuyang Huang","raw_affiliation_strings":["College of Transportation, Jilin University, Changchun, China","Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0000-6635","affiliations":[{"raw_affiliation_string":"College of Transportation, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056249306","display_name":"Hongfei Jia","orcid":"https://orcid.org/0000-0002-2250-1776"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Jia","raw_affiliation_strings":["College of Transportation, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-2250-1776","affiliations":[{"raw_affiliation_string":"College of Transportation, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056077366","display_name":"Yuanbo Xu","orcid":"https://orcid.org/0000-0001-8370-5011"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanbo Xu","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0001-8370-5011","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045527959","display_name":"Yongjian Yang","orcid":"https://orcid.org/0000-0002-0056-3626"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjian Yang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-0056-3626","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005659262","display_name":"Gaoxi Xiao","orcid":"https://orcid.org/0000-0002-4171-6799"},"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":"Gaoxi Xiao","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4171-6799","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.653,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.63564583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"72","issue":"3","first_page":"2947","last_page":"2959"},"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":0.9940999746322632,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9901000261306763,"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/context","display_name":"Context (archaeology)","score":0.62436443567276},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6130223274230957},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5584514141082764},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5322411060333252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44180095195770264},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.42837491631507874},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3967052400112152},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32740575075149536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24579432606697083},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1782892942428589}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.62436443567276},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6130223274230957},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5584514141082764},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5322411060333252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44180095195770264},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.42837491631507874},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3967052400112152},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32740575075149536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24579432606697083},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1782892942428589},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2022.3217521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2022.3217521","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3620636606","display_name":"\u7f51\u8054\u8f66\u6df7\u5408\u4ea4\u901a\u6d41\u534f\u540c\u5206\u914d\u4e0e\u4e13\u7528\u9053\u67d4\u6027\u89c4\u5212\u7814\u7a76","funder_award_id":"52072143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4766526995","display_name":"\u7a00\u758f\u7fa4\u667a\u611f\u77e5\u4e2d\u57fa\u4e8e\u6570\u636e\u63a8\u65ad\u7684\u7528\u6237\u62db\u52df\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62072209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5347142032","display_name":null,"funder_award_id":"62002123","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5718392780","display_name":null,"funder_award_id":"RG19/20","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"},{"id":"https://openalex.org/G7316837090","display_name":null,"funder_award_id":"KF-2021-06-006","funder_id":"https://openalex.org/F4320310282","funder_display_name":"Ministry of Natural Resources"}],"funders":[{"id":"https://openalex.org/F4320310282","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02ntv3742"},{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329197","display_name":"Singapore-ETH Centre","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W295894637","https://openalex.org/W1973943669","https://openalex.org/W2004353783","https://openalex.org/W2036785686","https://openalex.org/W2069929199","https://openalex.org/W2117014758","https://openalex.org/W2131739422","https://openalex.org/W2290117067","https://openalex.org/W2295598076","https://openalex.org/W2299288249","https://openalex.org/W2460404912","https://openalex.org/W2528639018","https://openalex.org/W2579495707","https://openalex.org/W2611552022","https://openalex.org/W2626290941","https://openalex.org/W2756203131","https://openalex.org/W2802508687","https://openalex.org/W2807894308","https://openalex.org/W2808535700","https://openalex.org/W2808871417","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2907228515","https://openalex.org/W2916747931","https://openalex.org/W2935726879","https://openalex.org/W2949011311","https://openalex.org/W2950817888","https://openalex.org/W2962756421","https://openalex.org/W2964319113","https://openalex.org/W2965399951","https://openalex.org/W2988486362","https://openalex.org/W2997848713","https://openalex.org/W2997857369","https://openalex.org/W3008577308","https://openalex.org/W3011019592","https://openalex.org/W3012562343","https://openalex.org/W3033688252","https://openalex.org/W3034077089","https://openalex.org/W3080911033","https://openalex.org/W3103720336","https://openalex.org/W3127009820","https://openalex.org/W3127229177","https://openalex.org/W6610517080","https://openalex.org/W6737372380"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2798997222","https://openalex.org/W2798198862","https://openalex.org/W2091548507","https://openalex.org/W2368816706","https://openalex.org/W3159414774","https://openalex.org/W210698821"],"abstract_inverted_index":{"Citywide":[0],"traffic":[1,20,26,50,101,108],"flow":[2,21,102],"prediction":[3,22,69,103,205],"is":[4,41,118,151,170,196,223],"a":[5,81,92,156],"basic":[6],"but":[7],"challenging":[8],"task":[9],"in":[10,33],"the":[11,30,53,65,71,88,106,122,129,174,182,188,204,210,215,219,226,232],"field":[12],"of":[13,28,67,73,95,110,137,159,166,190,228],"Intelligent":[14],"Transportation":[15],"Systems":[16],"(ITS).":[17],"Most":[18],"existing":[19,59],"methods":[23,60],"require":[24],"historical":[25,107],"data":[27,51,109],"all":[29,142],"target":[31],"roads":[32,160,238],"both":[34],"training":[35],"and":[36,44,98,128,193,222],"application":[37],"stages.":[38],"However,":[39],"it":[40],"not":[42],"easy,":[43],"usually":[45],"costly,":[46],"to":[47,62,90,120,161,201,231],"collect":[48],"real-time":[49],"across":[52],"entire":[54],"road":[55,74,132,139,143,148],"network.":[56],"Therefore,":[57],"many":[58],"have":[61],"narrow":[63],"down":[64],"scope":[66],"their":[68],"on":[70,209],"parts":[72],"networks.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79],"propose":[80],"deep-learning":[82],"model,":[83],"named":[84],"Limi-TFP,":[85],"which":[86],"has":[87],"ability":[89],"identify":[91],"limited":[93,157],"number":[94,158],"monitored":[96,179],"roads,":[97],"achieves":[99,218],"citywide":[100],"by":[104,140],"using":[105],"these":[111],"selected":[112],"roads.":[113],"Specifically,":[114],"an":[115],"embedding":[116,141],"module":[117],"proposed":[119,216],"capture":[121],"spatial":[123],"context":[124],"(road":[125],"topology":[126],"structure)":[127],"attributes":[130],"(e.g.,":[131],"type,":[133],"length,":[134],"lanes,":[135],"etc.)":[136],"each":[138,178],"segments":[144],"into":[145,199],"vectors.":[146],"A":[147,164],"ranking":[149],"method":[150,217],"then":[152],"developed":[153],"for":[154,172],"selecting":[155],"be":[162],"monitored.":[163,240],"group":[165],"multi-head":[167],"attention":[168],"mechanisms":[169],"exploited":[171],"capturing":[173],"dynamic":[175],"correlations":[176],"with":[177,184,225,235],"road.":[180],"Meanwhile,":[181],"fusion":[183],"external":[185],"factors,":[186],"including":[187],"point":[189],"interests":[191],"(POIs)":[192],"weather":[194],"data,":[195],"also":[197],"taken":[198],"account":[200],"further":[202],"improve":[203],"accuracy.":[206],"Extensive":[207],"experiments":[208],"real-world":[211],"datasets":[212],"demonstrate":[213],"that":[214],"superior":[220],"performance":[221],"robust":[224],"presence":[227],"noise":[229],"compared":[230],"state-of-the-art":[233],"baselines,":[234],"only":[236],"5%":[237],"being":[239]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}