{"id":"https://openalex.org/W4308068461","doi":"https://doi.org/10.1109/itsc55140.2022.9922409","title":"Integrating PDE Observer with Deep Learning for Traffic State Estimation","display_name":"Integrating PDE Observer with Deep Learning for Traffic State Estimation","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308068461","doi":"https://doi.org/10.1109/itsc55140.2022.9922409"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9922409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922409","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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/A5027611703","display_name":"Chenguang Zhao","orcid":"https://orcid.org/0009-0006-3487-4015"},"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"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Chenguang Zhao","raw_affiliation_strings":["Hong Kong University of Science and Technology (Guangzhou), Thrust of Intelligent Transportation,Guangzhou,Guangdong,China,511400","Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Hong Kong, SAR, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology (Guangzhou), Thrust of Intelligent Transportation,Guangzhou,Guangdong,China,511400","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030163330","display_name":"Huan Yu","orcid":"https://orcid.org/0000-0002-9324-0200"},"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"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Huan Yu","raw_affiliation_strings":["Hong Kong University of Science and Technology (Guangzhou), Thrust of Intelligent Transportation,Guangzhou,Guangdong,China,511400"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology (Guangzhou), Thrust of Intelligent Transportation,Guangzhou,Guangdong,China,511400","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027611703"],"corresponding_institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.8735,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68962264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"378","issue":null,"first_page":"1964","last_page":"1969"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10360","display_name":"Fluid Dynamics and Turbulent Flows","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9528999924659729,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.7330433130264282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.656798243522644},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5155815482139587},{"id":"https://openalex.org/keywords/state-observer","display_name":"State observer","score":0.5123680830001831},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4752870798110962},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.46871891617774963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4535452425479889},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3649727404117584}],"concepts":[{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.7330433130264282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656798243522644},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5155815482139587},{"id":"https://openalex.org/C3031470","wikidata":"https://www.wikidata.org/wiki/Q818544","display_name":"State observer","level":3,"score":0.5123680830001831},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4752870798110962},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.46871891617774963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4535452425479889},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3649727404117584},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itsc55140.2022.9922409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9922409","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-122054","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85141821212&origin=inward","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":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1965186506","https://openalex.org/W2011504567","https://openalex.org/W2012035643","https://openalex.org/W2087748410","https://openalex.org/W2532805786","https://openalex.org/W2605264395","https://openalex.org/W2899283552","https://openalex.org/W2945524112","https://openalex.org/W2963995014","https://openalex.org/W3022016197","https://openalex.org/W3037624214","https://openalex.org/W3045746634","https://openalex.org/W3117049966","https://openalex.org/W3120854574","https://openalex.org/W3133294546","https://openalex.org/W3154683987","https://openalex.org/W3160897191","https://openalex.org/W3168972368","https://openalex.org/W3177261102","https://openalex.org/W4200278706","https://openalex.org/W4309306772","https://openalex.org/W6631943919","https://openalex.org/W6672552787","https://openalex.org/W6788639737","https://openalex.org/W6846085374"],"related_works":["https://openalex.org/W2394201814","https://openalex.org/W2544838361","https://openalex.org/W2315418312","https://openalex.org/W2113447317","https://openalex.org/W2501264310","https://openalex.org/W4205434950","https://openalex.org/W2111927334","https://openalex.org/W4378174414","https://openalex.org/W4391766543","https://openalex.org/W2165082107"],"abstract_inverted_index":{"Traffic":[0],"state":[1,10,102,136],"estimation":[2,40,180],"(TSE)":[3],"refers":[4],"to":[5,85,116,134,183],"the":[6,22,42,94,120,140,164,175,179,185,190,199],"inference":[7],"of":[8,21,41,67,151],"traffic":[9,15,23,31,34,43,46,49,56,88],"information":[11],"from":[12,90],"partially":[13],"observed":[14],"data":[16],"and":[17,59,61,81,138,162,166],"some":[18],"prior":[19],"knowledge":[20],"dynamics.":[24],"TSE":[25,66,117],"plays":[26],"a":[27,68,113,148],"key":[28],"role":[29],"in":[30],"management":[32],"as":[33,55,159],"control":[35],"relies":[36],"on":[37],"an":[38,98],"accurate":[39],"states.":[44],"Macroscopic":[45],"models":[47],"describe":[48],"dynamics":[50],"with":[51,198],"aggregated":[52],"values":[53],"such":[54],"density,":[57],"velocity,":[58],"flow":[60],"are":[62],"often":[63],"employed":[64],"for":[65,101,143,206],"freeway":[69],"road":[70],"segment.":[71],"This":[72],"paper":[73],"integrates":[74],"Partial":[75],"Differential":[76],"Equation":[77],"(PDE)":[78],"observer":[79,96,122,142,158,187],"design":[80],"deep":[82],"learning":[83],"paradigm":[84,110],"estimate":[86],"spatial-temporal":[87],"states":[89],"boundary":[91,141],"sensing.":[92],"With":[93],"PDE":[95,121,157],"providing":[97],"rigorous":[99],"guarantee":[100,161],"estimates,":[103],"we":[104],"propose":[105],"Observer-Informed":[106,125],"Deep":[107,202],"Learning":[108,203],"(OIDL)":[109],"which":[111],"is":[112,129],"data-driven":[114,191],"solution":[115],"that":[118,155,174],"leverages":[119],"design.":[123],"An":[124],"Neural":[126],"Network":[127],"(OINN)":[128],"constructed":[130],"by":[131],"training":[132],"NN":[133],"generate":[135],"estimates":[137],"use":[139],"regularization.":[144],"The":[145],"OINN":[146],"forms":[147],"novel":[149],"class":[150],"data-efficient":[152],"function":[153],"approximators":[154],"encode":[156],"theoretical":[160],"improves":[163],"accuracy":[165],"convergence":[167],"speed.":[168],"Experiments":[169],"using":[170],"NGSIM":[171],"data-set":[172],"demonstrate":[173],"proposed":[176],"OIDL":[177,197],"reduces":[178],"error":[181],"compared":[182],"either":[184,189],"model-based":[186],"or":[188],"neural":[192],"network.":[193],"We":[194],"also":[195],"compare":[196],"existing":[200],"Physics-informed":[201],"(PIDL)":[204],"approach":[205],"TSE.":[207]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}