{"id":"https://openalex.org/W4321021733","doi":"https://doi.org/10.1109/tits.2023.3243087","title":"Missing Road Condition Imputation Using a Multi-View Heterogeneous Graph Network From GPS Trajectory","display_name":"Missing Road Condition Imputation Using a Multi-View Heterogeneous Graph Network From GPS Trajectory","publication_year":2023,"publication_date":"2023-02-16","ids":{"openalex":"https://openalex.org/W4321021733","doi":"https://doi.org/10.1109/tits.2023.3243087"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3243087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3243087","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5048053629","display_name":"Zhiwen Zhang","orcid":"https://orcid.org/0000-0001-9524-7871"},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhang Zhiwen","raw_affiliation_strings":["Center for Spatial Information Science, The University of Tokyo, Chiba, Kashiwa, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, The University of Tokyo, Chiba, Kashiwa, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077405071","display_name":"Hongjun Wang","orcid":"https://orcid.org/0000-0002-5396-7659"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Wang","raw_affiliation_strings":["Department of Computer Science, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009062546","display_name":"Zipei Fan","orcid":"https://orcid.org/0000-0002-1442-1530"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]},{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zipei Fan","raw_affiliation_strings":["Center for Spatial Information Science, The University of Tokyo, Chiba, Kashiwa, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, The University of Tokyo, Chiba, Kashiwa, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046856721","display_name":"Xuan Song","orcid":"https://orcid.org/0000-0003-4042-7888"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Song","raw_affiliation_strings":["Department of Computer Science, Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105206953","display_name":"Ryosuke Shibasaki","orcid":"https://orcid.org/0000-0001-8760-244X"},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke Shibasaki","raw_affiliation_strings":["Center for Spatial Information Science, The University of Tokyo, Chiba, Kashiwa, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, The University of Tokyo, Chiba, Kashiwa, Japan","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048053629"],"corresponding_institution_ids":["https://openalex.org/I14396692","https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.4722,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59215253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"24","issue":"5","first_page":"4917","last_page":"4931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11106","display_name":"Data Management and Algorithms","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.6604189872741699},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6132854223251343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5570472478866577},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5283128619194031},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.5177273154258728},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5125322341918945},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4713320732116699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34080734848976135},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23900142312049866},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19997376203536987}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604189872741699},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6132854223251343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5570472478866577},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5283128619194031},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.5177273154258728},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5125322341918945},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4713320732116699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34080734848976135},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23900142312049866},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19997376203536987},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2023.3243087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3243087","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G11244041","display_name":null,"funder_award_id":"22H03573","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1500188831","https://openalex.org/W1979646154","https://openalex.org/W1983883318","https://openalex.org/W1989750313","https://openalex.org/W2020641160","https://openalex.org/W2031674781","https://openalex.org/W2042675654","https://openalex.org/W2043571470","https://openalex.org/W2062363204","https://openalex.org/W2082770616","https://openalex.org/W2085040216","https://openalex.org/W2091449379","https://openalex.org/W2118718620","https://openalex.org/W2135822894","https://openalex.org/W2147512299","https://openalex.org/W2153919224","https://openalex.org/W2163150789","https://openalex.org/W2179076887","https://openalex.org/W2295739661","https://openalex.org/W2524986418","https://openalex.org/W2546919788","https://openalex.org/W2583643061","https://openalex.org/W2604314403","https://openalex.org/W2784823820","https://openalex.org/W2787241424","https://openalex.org/W2788997482","https://openalex.org/W2792660917","https://openalex.org/W2801262348","https://openalex.org/W2809840258","https://openalex.org/W2894714913","https://openalex.org/W2911286998","https://openalex.org/W2912818700","https://openalex.org/W2941466173","https://openalex.org/W2952568980","https://openalex.org/W2963358464","https://openalex.org/W2963383024","https://openalex.org/W2964010806","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2964346351","https://openalex.org/W2965341826","https://openalex.org/W3034734814","https://openalex.org/W3035184251","https://openalex.org/W3035721909","https://openalex.org/W3081469395","https://openalex.org/W3102436600","https://openalex.org/W3103720336","https://openalex.org/W3166291381","https://openalex.org/W3166589372","https://openalex.org/W4297733535","https://openalex.org/W4385245566","https://openalex.org/W6677759377","https://openalex.org/W6726873649","https://openalex.org/W6729542563","https://openalex.org/W6731370813","https://openalex.org/W6739901393","https://openalex.org/W6746015598","https://openalex.org/W6747826347","https://openalex.org/W6751145664","https://openalex.org/W6766252466","https://openalex.org/W6767098714","https://openalex.org/W6785773631"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"How":[0],"to":[1,28,76,148],"generate":[2],"road":[3,55,100,107,118],"conditions":[4],"from":[5,22,35,81],"urban":[6],"GPS":[7],"trajectory":[8,84],"is":[9,124],"an":[10],"important":[11],"problem":[12,26],"in":[13,46,88,137],"transportation":[14],"systems.":[15,37],"However,":[16],"this":[17,63],"computation":[18],"process":[19],"usually":[20],"suffers":[21],"serious":[23],"missing":[24,163],"value":[25],"due":[27],"the":[29,43,53,89,104,113,121,134,138,144,171,177],"observation":[30],"uncertainty":[31],"or":[32],"limited":[33],"reports":[34],"crowdsourcing":[36],"Conventional":[38],"tensor":[39],"factorization":[40],"approaches":[41],"learn":[42],"spatio-temporal":[44,146,189],"dependencies":[45],"a":[47,67,82,96,128,150],"collaborative":[48],"filtering":[49],"way,":[50],"which":[51],"ignores":[52],"complex":[54],"network":[56,108],"structure":[57,131],"information":[58],"and":[59,111,167],"temporal":[60,122,139],"heterogeneity.":[61],"In":[62,181],"study,":[64],"we":[65,102,142],"propose":[66],"multi-view":[68],"model":[69,112,184],"with":[70],"multiple":[71,114],"aspects":[72],"of":[73,99,106,116,162],"prior":[74],"knowledge":[75],"impute":[77],"traffic":[78],"state":[79],"computed":[80],"real-world":[83],"dataset.":[85],"More":[86],"specifically,":[87],"spatial":[90],"view,":[91],"rather":[92],"than":[93],"focusing":[94],"on":[95,159],"specific":[97],"type":[98],"segment,":[101],"take":[103],"heterogeneity":[105],"into":[109],"consideration":[110],"relations":[115],"adjacent":[117],"segments.":[119],"Meanwhile,":[120],"pattern":[123],"also":[125],"viewed":[126],"as":[127],"heterogeneous":[129],"graphical":[130],"that":[132,170],"discriminates":[133],"weekly/hourly":[135],"adjacency":[136],"view.":[140],"Finally,":[141],"fuse":[143],"above":[145],"features":[147],"provide":[149],"robust":[151],"estimation":[152],"under":[153],"different":[154],"sparse":[155],"conditions.":[156],"Intensive":[157],"experiments":[158],"two":[160],"types":[161],"scenarios":[164],"(i.e.,":[165],"random":[166],"non-random)":[168],"demonstrate":[169],"proposed":[172],"imputation":[173],"method":[174],"outperforms":[175],"all":[176],"other":[178],"state-of-the-art":[179],"approaches.":[180],"addition,":[182],"our":[183],"represents":[185],"interpretable":[186],"patterns":[187],"for":[188],"graph":[190],"analysis.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}