{"id":"https://openalex.org/W4399744267","doi":"https://doi.org/10.3390/s24123905","title":"A Dual-Stream Cross AGFormer-GPT Network for Traffic Flow Prediction Based on Large-Scale Road Sensor Data","display_name":"A Dual-Stream Cross AGFormer-GPT Network for Traffic Flow Prediction Based on Large-Scale Road Sensor Data","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4399744267","doi":"https://doi.org/10.3390/s24123905","pmid":"https://pubmed.ncbi.nlm.nih.gov/38931689"},"language":"en","primary_location":{"id":"doi:10.3390/s24123905","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24123905","pdf_url":"https://www.mdpi.com/1424-8220/24/12/3905/pdf?version=1718607175","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/12/3905/pdf?version=1718607175","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101761835","display_name":"Yu Sun","orcid":"https://orcid.org/0009-0000-5488-2764"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Sun","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":"https://orcid.org/0009-0000-5488-2764","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101380627","display_name":"Yajing Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajing Shi","raw_affiliation_strings":["Jeme Tienyow Honors College, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jeme Tienyow Honors College, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113330469","display_name":"Kaining Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaining Jia","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015455705","display_name":"Zhiyuan Zhang","orcid":"https://orcid.org/0000-0002-6752-0794"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyuan Zhang","raw_affiliation_strings":["Key Laboratory of Communication and Information Systems, Beijing Jiaotong University, Beijing 100044, China"],"raw_orcid":"https://orcid.org/0000-0002-6752-0794","affiliations":[{"raw_affiliation_string":"Key Laboratory of Communication and Information Systems, Beijing Jiaotong University, Beijing 100044, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100604174","display_name":"Qin Li","orcid":"https://orcid.org/0000-0001-5392-2752"},"institutions":[{"id":"https://openalex.org/I4210158522","display_name":"PLA Academy of Military Science","ror":"https://ror.org/05ct4s596","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210158522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Qin","raw_affiliation_strings":["PLA Academy of Military Science, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Academy of Military Science, Beijing 100044, China","institution_ids":["https://openalex.org/I4210158522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015455705","https://openalex.org/A5100604174"],"corresponding_institution_ids":["https://openalex.org/I21193070","https://openalex.org/I4210158522"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.2071,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76663999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"24","issue":"12","first_page":"3905","last_page":"3905"},"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":0.9968000054359436,"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":0.9911999702453613,"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/computer-science","display_name":"Computer science","score":0.687168300151825},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5979158282279968},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.5312575697898865},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5309633016586304},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5300994515419006},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5260640978813171},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.525258481502533},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.48355981707572937},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4720262587070465},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4373128116130829},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.4237828850746155},{"id":"https://openalex.org/keywords/network-traffic-simulation","display_name":"Network traffic simulation","score":0.41639912128448486},{"id":"https://openalex.org/keywords/traffic-engineering","display_name":"Traffic engineering","score":0.4107200503349304},{"id":"https://openalex.org/keywords/network-traffic-control","display_name":"Network traffic control","score":0.3141206204891205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2387891709804535},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1877424120903015},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1819978952407837},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14869272708892822},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.10539478063583374},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0832805335521698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687168300151825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5979158282279968},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.5312575697898865},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5309633016586304},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5300994515419006},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5260640978813171},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.525258481502533},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.48355981707572937},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4720262587070465},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4373128116130829},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.4237828850746155},{"id":"https://openalex.org/C94168897","wikidata":"https://www.wikidata.org/wiki/Q574324","display_name":"Network traffic simulation","level":4,"score":0.41639912128448486},{"id":"https://openalex.org/C16160715","wikidata":"https://www.wikidata.org/wiki/Q1640676","display_name":"Traffic engineering","level":2,"score":0.4107200503349304},{"id":"https://openalex.org/C201100257","wikidata":"https://www.wikidata.org/wiki/Q393287","display_name":"Network traffic control","level":3,"score":0.3141206204891205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2387891709804535},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1877424120903015},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1819978952407837},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14869272708892822},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.10539478063583374},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0832805335521698},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s24123905","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24123905","pdf_url":"https://www.mdpi.com/1424-8220/24/12/3905/pdf?version=1718607175","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38931689","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38931689","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11207720","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11207720","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11207720/pdf/sensors-24-03905.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:dd25a3100792429aacee01f2d260a928","is_oa":false,"landing_page_url":"https://doaj.org/article/dd25a3100792429aacee01f2d260a928","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 12, p 3905 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24123905","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24123905","pdf_url":"https://www.mdpi.com/1424-8220/24/12/3905/pdf?version=1718607175","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6800000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399744267.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W2036785686","https://openalex.org/W2756203131","https://openalex.org/W2793820729","https://openalex.org/W2811044697","https://openalex.org/W2884566142","https://openalex.org/W2901504064","https://openalex.org/W2903871660","https://openalex.org/W2907228515","https://openalex.org/W2955819484","https://openalex.org/W2962686190","https://openalex.org/W2964321699","https://openalex.org/W2996847713","https://openalex.org/W2997848713","https://openalex.org/W3013238231","https://openalex.org/W3040275518","https://openalex.org/W3082485094","https://openalex.org/W3086113267","https://openalex.org/W3103720336","https://openalex.org/W3159993297","https://openalex.org/W3174022889","https://openalex.org/W3206043672","https://openalex.org/W3207611353","https://openalex.org/W3215509581","https://openalex.org/W4200138911","https://openalex.org/W4200354888","https://openalex.org/W4200547309","https://openalex.org/W4281264698","https://openalex.org/W4283817628","https://openalex.org/W4288072843","https://openalex.org/W4293136753","https://openalex.org/W4297733535","https://openalex.org/W4307953057","https://openalex.org/W4386609825","https://openalex.org/W4388681972","https://openalex.org/W4391683160","https://openalex.org/W4392553820","https://openalex.org/W4394577958","https://openalex.org/W6659849045","https://openalex.org/W6720006811","https://openalex.org/W6745537798","https://openalex.org/W6765790483","https://openalex.org/W6770750589","https://openalex.org/W6772631766","https://openalex.org/W6782999473","https://openalex.org/W6787016461","https://openalex.org/W6805256685","https://openalex.org/W6805940837"],"related_works":["https://openalex.org/W2490010379","https://openalex.org/W2497786025","https://openalex.org/W2587362999","https://openalex.org/W2975138805","https://openalex.org/W1550043390","https://openalex.org/W2329128924","https://openalex.org/W1994698836","https://openalex.org/W3108736915","https://openalex.org/W2035170846","https://openalex.org/W2463357960"],"abstract_inverted_index":{"Traffic":[0],"flow":[1,75,88],"prediction":[2,57,124,148],"can":[3,15,43],"provide":[4],"important":[5],"reference":[6],"data":[7,35,42,134],"for":[8,23,73],"managers":[9],"to":[10,54,122],"maintain":[11],"traffic":[12,74,79,87,147],"order,":[13],"and":[14,34,81,94,99,118],"also":[16],"be":[17,44],"based":[18],"on":[19,129],"personal":[20],"travel":[21],"plans":[22],"optimal":[24],"route":[25],"selection.":[26],"On":[27],"account":[28],"of":[29,32,92,112],"the":[30,90,104,110,113,139],"development":[31],"sensors":[33],"collection":[36],"technology,":[37],"large-scale":[38],"road":[39,132,152],"network":[40,69,117,133],"historical":[41],"effectively":[45,108],"used,":[46],"but":[47],"their":[48],"high":[49],"non-linearity":[50],"makes":[51],"it":[52],"meaningful":[53],"establish":[55],"effective":[56],"models.":[58],"In":[59],"this":[60,62],"regard,":[61],"paper":[63],"proposes":[64],"a":[65],"dual-stream":[66,105],"cross":[67,106],"AGFormer-GPT":[68],"with":[70],"prompt":[71],"engineering":[72],"prediction,":[76],"which":[77],"integrates":[78],"occupancy":[80],"speed":[82],"as":[83],"two":[84,130],"prompts":[85],"into":[86],"in":[89,146],"form":[91],"cross-attention,":[93],"uniquely":[95],"mines":[96],"spatial":[97],"correlation":[98,101],"temporal":[100],"information":[102],"through":[103],"structure,":[107],"combining":[109],"advantages":[111],"adaptive":[114],"graph":[115],"neural":[116],"large":[119],"language":[120],"model":[121,140],"improve":[123],"accuracy.":[125],"The":[126],"experimental":[127],"results":[128],"PeMS":[131],"sets":[135],"have":[136],"verified":[137],"that":[138],"has":[141],"improved":[142],"by":[143],"about":[144],"1.2%":[145],"accuracy":[149],"under":[150],"different":[151],"networks.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}