{"id":"https://openalex.org/W4285185989","doi":"https://doi.org/10.1109/tits.2022.3172420","title":"Fitting Spatial-Temporal Data via a Physics Regularized Multi-Output Grid Gaussian Process: Case Studies of a Bike-Sharing System","display_name":"Fitting Spatial-Temporal Data via a Physics Regularized Multi-Output Grid Gaussian Process: Case Studies of a Bike-Sharing System","publication_year":2022,"publication_date":"2022-05-13","ids":{"openalex":"https://openalex.org/W4285185989","doi":"https://doi.org/10.1109/tits.2022.3172420"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3172420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3172420","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/A5028572318","display_name":"Zheng Zhu","orcid":"https://orcid.org/0000-0002-9318-1861"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Zhu","raw_affiliation_strings":["College of Civil Engineering and Architecture, Zhejiang University and Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9318-1861","affiliations":[{"raw_affiliation_string":"College of Civil Engineering and Architecture, Zhejiang University and Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059426964","display_name":"Meng Xu","orcid":"https://orcid.org/0000-0002-8077-6081"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Meng Xu","raw_affiliation_strings":["Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-8077-6081","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055070573","display_name":"Yining Di","orcid":"https://orcid.org/0000-0001-5763-9006"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yining Di","raw_affiliation_strings":["Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045705475","display_name":"Hai Yang","orcid":"https://orcid.org/0000-0001-5210-8468"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hai Yang","raw_affiliation_strings":["Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","Intelligent Transportation Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5210-8468","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Intelligent Transportation Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028572318"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.6196,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.80992569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"11","first_page":"21090","last_page":"21101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"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"}},"topics":[{"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9993000030517578,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/gaussian-process","display_name":"Gaussian process","score":0.7405884265899658},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5659810304641724},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5445852279663086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5429413914680481},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5117418766021729},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5002644062042236},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.49303433299064636},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48066937923431396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3796541690826416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3276407718658447},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3185654878616333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19869035482406616}],"concepts":[{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.7405884265899658},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5659810304641724},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5445852279663086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5429413914680481},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5117418766021729},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5002644062042236},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.49303433299064636},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48066937923431396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3796541690826416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3276407718658447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3185654878616333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19869035482406616},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2022.3172420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3172420","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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-118009","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-118009","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7820119191","display_name":null,"funder_award_id":"HKUST16208920","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1481376060","https://openalex.org/W1522971981","https://openalex.org/W1777124189","https://openalex.org/W1866206747","https://openalex.org/W1917966882","https://openalex.org/W1988489815","https://openalex.org/W1994377164","https://openalex.org/W2024558842","https://openalex.org/W2025197835","https://openalex.org/W2033212964","https://openalex.org/W2049952439","https://openalex.org/W2062017159","https://openalex.org/W2090364401","https://openalex.org/W2125817951","https://openalex.org/W2161304083","https://openalex.org/W2343567063","https://openalex.org/W2470641485","https://openalex.org/W2530386080","https://openalex.org/W2558189332","https://openalex.org/W2573587735","https://openalex.org/W2595668666","https://openalex.org/W2613331518","https://openalex.org/W2766311542","https://openalex.org/W2766678531","https://openalex.org/W2789788750","https://openalex.org/W2801262348","https://openalex.org/W2888918158","https://openalex.org/W2894608620","https://openalex.org/W2899244382","https://openalex.org/W2904430055","https://openalex.org/W2904832339","https://openalex.org/W2925974453","https://openalex.org/W2946789497","https://openalex.org/W2952038374","https://openalex.org/W2953263857","https://openalex.org/W2965858602","https://openalex.org/W2989567700","https://openalex.org/W3010933615","https://openalex.org/W3029687524","https://openalex.org/W3038397330","https://openalex.org/W3098230582","https://openalex.org/W3105138772","https://openalex.org/W3117469433","https://openalex.org/W3135178273","https://openalex.org/W3155957538","https://openalex.org/W3160019756","https://openalex.org/W3187447458","https://openalex.org/W4206721615","https://openalex.org/W4211049957","https://openalex.org/W4225330061","https://openalex.org/W4230031267","https://openalex.org/W4233048186","https://openalex.org/W6631251725","https://openalex.org/W6637968757","https://openalex.org/W6639216784","https://openalex.org/W6640127846","https://openalex.org/W6681539127","https://openalex.org/W6692054155","https://openalex.org/W6745256532","https://openalex.org/W6785059380","https://openalex.org/W6786203406","https://openalex.org/W6806859208","https://openalex.org/W6810891599"],"related_works":["https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W2392155297","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W4293503520","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655"],"abstract_inverted_index":{"Fitting":[0],"and":[1,19,72,111,125,131,143,157,182],"modeling":[2,197],"spatial-temporal":[3,77,93],"processes":[4,78,199],"are":[5,38,128,132],"essential":[6],"research":[7],"topics":[8],"in":[9,31,79,95,200],"transportation":[10,33,80,201],"studies.":[11],"Recently,":[12],"due":[13,43],"to":[14,44,90,105,116,150],"the":[15,23,96,102,108,121,140,152,177,183,187],"analytically":[16],"tractable":[17],"formulation":[18],"good":[20],"fitting":[21,32,55,74,97],"accuracy,":[22],"Gaussian":[24,65],"Process":[25,66],"(GP)":[26],"is":[27],"becoming":[28],"increasingly":[29],"preferable":[30],"processes.":[34],"However,":[35],"conventional":[36],"GPs":[37],"inapplicable":[39],"for":[40,70,196],"large-scale":[41,76,162],"problems":[42],"computational":[45,178],"issues.":[46],"Moreover,":[47],"they":[48],"dismiss":[49],"physics":[50,61,118],"laws":[51,119],"when":[52],"conducting":[53],"multi-output":[54,63,73,198],"tasks.":[56],"This":[57],"paper":[58],"proposes":[59],"a":[60,86,113,161,193],"regularized":[62],"grid":[64,87],"Model":[67,123],"(PRMGGP)":[68],"model":[69,84,142],"fast":[71],"of":[75,101,120,154,160,186],"systems.":[81,202],"The":[82,174],"PRMGGP":[83,188],"adopts":[85],"input":[88],"structure":[89],"capture":[91],"inherent":[92],"correlations":[94],"process,":[98],"takes":[99],"advantage":[100],"Kronecker":[103],"algebra":[104],"notably":[106],"accelerate":[107],"computation":[109],"speed,":[110],"utilizes":[112],"shadow":[114],"GP":[115],"incorporate":[117],"process.":[122],"training":[124],"predictive":[126],"algorithms":[127],"developed":[129],"coordinately":[130],"tested":[133],"via":[134],"synthetic":[135],"datasets.":[136],"Furthermore,":[137],"we":[138],"apply":[139],"proposed":[141],"other":[144],"widely":[145],"used":[146],"machine":[147],"learning":[148],"models":[149],"fit":[151],"numbers":[153],"pickups,":[155],"returns,":[156],"idle":[158],"bikes":[159],"bike-sharing":[163],"system":[164],"based":[165],"on":[166],"Citi":[167],"Bike":[168],"data":[169],"from":[170],"New":[171],"York":[172],"City.":[173],"results":[175],"demonstrate":[176],"efficiency,":[179],"interpretable":[180],"results,":[181],"prediction":[184],"accuracy":[185],"model,":[189],"which":[190],"can":[191],"be":[192],"promising":[194],"methodology":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
