{"id":"https://openalex.org/W4416264555","doi":"https://doi.org/10.1631/fitee.2500169","title":"MltAuxTSPP: a unified benchmark for deep learning-based traffic state prediction with multi-source auxiliary data","display_name":"MltAuxTSPP: a unified benchmark for deep learning-based traffic state prediction with multi-source auxiliary data","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W4416264555","doi":"https://doi.org/10.1631/fitee.2500169"},"language":"en","primary_location":{"id":"doi:10.1631/fitee.2500169","is_oa":true,"landing_page_url":"https://doi.org/10.1631/fitee.2500169","pdf_url":"https://link.springer.com/content/pdf/10.1631/FITEE.2500169.pdf","source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1631/FITEE.2500169.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yusong Zhou","orcid":"https://orcid.org/0009-0003-4475-623X"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]},{"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":"Yusong Zhou","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, China","State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-4475-623X","affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004746670","display_name":"Xiaoyu Jiang","orcid":"https://orcid.org/0000-0001-6904-7665"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]},{"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":false,"raw_author_name":"Xiaoyu Jiang","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, China","State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078241205","display_name":"Shuli Sun","orcid":"https://orcid.org/0000-0001-5325-3608"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]},{"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":false,"raw_author_name":"Shu Sun","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, China","State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654679","display_name":"Xinmin Zhang","orcid":"https://orcid.org/0000-0002-4761-3969"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]},{"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":false,"raw_author_name":"Xinmin Zhang","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, China","State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4761-3969","affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016761365","display_name":"Yuanqiu Mo","orcid":"https://orcid.org/0000-0002-0500-5201"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqiu Mo","raw_affiliation_strings":["School of Mathematics, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048733958","display_name":"Zhihuan Song","orcid":"https://orcid.org/0000-0003-4098-6479"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]},{"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":false,"raw_author_name":"Zhihuan Song","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, China","State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4391767838","https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35076074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"10","first_page":"1984","last_page":"1999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9918000102043152,"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":0.9918000102043152,"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":0.0015999999595806003,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/benchmark","display_name":"Benchmark (surveying)","score":0.8230999708175659},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.7026000022888184},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5817999839782715},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5541999936103821},{"id":"https://openalex.org/keywords/unified-model","display_name":"Unified Model","score":0.4876999855041504},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4562999904155731},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41920000314712524},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.399399995803833}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8230999708175659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.762499988079071},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.7026000022888184},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5817999839782715},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5541999936103821},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5364000201225281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4968999922275543},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.4876999855041504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47029998898506165},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4562999904155731},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41920000314712524},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.399399995803833},{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3573000133037567},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C197947376","wikidata":"https://www.wikidata.org/wiki/Q5155608","display_name":"Comparability","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.2533999979496002},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1631/fitee.2500169","is_oa":true,"landing_page_url":"https://doi.org/10.1631/fitee.2500169","pdf_url":"https://link.springer.com/content/pdf/10.1631/FITEE.2500169.pdf","source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1631/fitee.2500169","is_oa":true,"landing_page_url":"https://doi.org/10.1631/fitee.2500169","pdf_url":"https://link.springer.com/content/pdf/10.1631/FITEE.2500169.pdf","source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology & Electronic Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416264555.pdf","grobid_xml":"https://content.openalex.org/works/W4416264555.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2062017159","https://openalex.org/W2064675550","https://openalex.org/W2147710851","https://openalex.org/W2165700458","https://openalex.org/W2756203131","https://openalex.org/W2802508687","https://openalex.org/W2884128153","https://openalex.org/W2886931180","https://openalex.org/W2889793454","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2949676527","https://openalex.org/W2965341826","https://openalex.org/W2996847713","https://openalex.org/W3000056055","https://openalex.org/W3011204221","https://openalex.org/W3090011481","https://openalex.org/W3151697167","https://openalex.org/W3170140111","https://openalex.org/W3171884590","https://openalex.org/W3177318507","https://openalex.org/W3213170289","https://openalex.org/W4303438998","https://openalex.org/W4309734258","https://openalex.org/W4390438031","https://openalex.org/W4403600951","https://openalex.org/W4406785293","https://openalex.org/W6911018234"],"related_works":[],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"empowered":[3],"traffic":[4,86,166],"prediction":[5,88],"models":[6],"to":[7,62,150],"integrate":[8],"diverse":[9],"auxiliary":[10,69,91],"data":[11,70,98,110],"sources,":[12],"such":[13],"as":[14],"weather":[15,146],"and":[16,31,33,55,58,100,111,130,147,155,159],"temporal":[17,148],"features,":[18],"for":[19,40,83,162],"enhanced":[20],"forecasting":[21],"accuracy.":[22],"However,":[23],"existing":[24],"approaches":[25],"often":[26],"suffer":[27],"from":[28],"limited":[29],"generality":[30],"scalability,":[32],"the":[34,51,64],"field":[35],"lacks":[36],"a":[37,79,96,101,157],"unified":[38,80,116],"benchmark":[39,81],"fair":[41,129],"model":[42],"comparison.":[43],"This":[44],"absence":[45],"hinders":[46],"consistent":[47,106],"performance":[48,154],"evaluation,":[49],"slows":[50],"development":[52],"of":[53,67,108],"robust":[54],"adaptable":[56],"models,":[57,127],"makes":[59],"it":[60],"challenging":[61],"quantify":[63],"incremental":[65],"benefits":[66],"different":[68],"sources.":[71],"To":[72],"address":[73],"these":[74],"issues,":[75],"we":[76],"present":[77],"MltAuxTSPP,":[78],"framework":[82,94],"deep":[84],"learning-based":[85],"state":[87,167],"with":[89],"multi-source":[90],"data.":[92],"The":[93],"features":[95,149],"standardized":[97],"container":[99],"fusion":[102],"embedding":[103],"module,":[104],"enabling":[105],"utilization":[107],"heterogeneous":[109],"improving":[112],"scalability.":[113],"It":[114],"produces":[115],"hidden":[117],"representations":[118],"that":[119,142],"can":[120],"be":[121],"seamlessly":[122],"adopted":[123],"by":[124],"various":[125],"downstream":[126],"ensuring":[128],"reproducible":[131,160],"comparisons":[132],"under":[133],"identical":[134],"conditions.":[135],"Extensive":[136],"experiments":[137],"on":[138],"real-world":[139],"datasets":[140],"demonstrate":[141],"MltAuxTSPP":[143],"effectively":[144],"leverages":[145],"improve":[151],"long-term":[152],"forecast":[153],"offers":[156],"practical":[158],"foundation":[161],"advancing":[163],"research":[164],"in":[165],"prediction.":[168]},"counts_by_year":[],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-11-17T00:00:00"}