{"id":"https://openalex.org/W2969744824","doi":"https://doi.org/10.1109/access.2019.2936938","title":"Wavelet-HST: A Wavelet-Based Higher-Order Spatio-Temporal Framework for Urban Traffic Speed Prediction","display_name":"Wavelet-HST: A Wavelet-Based Higher-Order Spatio-Temporal Framework for Urban Traffic Speed Prediction","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2969744824","doi":"https://doi.org/10.1109/access.2019.2936938","mag":"2969744824"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2936938","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2936938","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08809691.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08809691.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063768530","display_name":"Na Zhang","orcid":"https://orcid.org/0000-0002-1010-8811"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Na Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China","institution_ids":["https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082420896","display_name":"Xuefeng Guan","orcid":"https://orcid.org/0000-0003-0865-3850"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Guan","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China","institution_ids":["https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057370662","display_name":"Jun Cao","orcid":"https://orcid.org/0000-0002-5634-3008"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Cao","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China","institution_ids":["https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087717914","display_name":"Xinglei Wang","orcid":"https://orcid.org/0000-0002-9824-7663"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinglei Wang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China","institution_ids":["https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030670883","display_name":"Huayi Wu","orcid":"https://orcid.org/0000-0003-3971-0512"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huayi Wu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China","institution_ids":["https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063768530"],"corresponding_institution_ids":["https://openalex.org/I4210118728"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.0905,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.9067648,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"118446","last_page":"118458"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9934999942779541,"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/T10524","display_name":"Traffic control and management","score":0.9925000071525574,"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/wavelet","display_name":"Wavelet","score":0.779827356338501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6604177355766296},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5017216205596924},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47314655780792236},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.43548229336738586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40975791215896606},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32801002264022827},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25959792733192444}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.779827356338501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604177355766296},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5017216205596924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47314655780792236},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.43548229336738586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40975791215896606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32801002264022827},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25959792733192444}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2936938","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2936938","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08809691.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:126aef95834a49b880cb9ea488b58c39","is_oa":true,"landing_page_url":"https://doaj.org/article/126aef95834a49b880cb9ea488b58c39","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 118446-118458 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2936938","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2936938","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08809691.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8299999833106995,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1356514951","display_name":null,"funder_award_id":"41971","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2330969606","display_name":null,"funder_award_id":"2017YFB0503802","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3547295057","display_name":null,"funder_award_id":"2017YFB0503802","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G466649759","display_name":null,"funder_award_id":"2017Y","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G562577095","display_name":null,"funder_award_id":"4197134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7370523241","display_name":null,"funder_award_id":"41971348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8340078520","display_name":null,"funder_award_id":"2017YF","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8823009050","display_name":null,"funder_award_id":"2017YFB","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2969744824.pdf","grobid_xml":"https://content.openalex.org/works/W2969744824.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W594114979","https://openalex.org/W626441390","https://openalex.org/W1485009520","https://openalex.org/W1662382123","https://openalex.org/W1982978808","https://openalex.org/W1989491491","https://openalex.org/W1991410369","https://openalex.org/W1991694886","https://openalex.org/W2002841906","https://openalex.org/W2004353783","https://openalex.org/W2007422655","https://openalex.org/W2064675550","https://openalex.org/W2069929199","https://openalex.org/W2108196201","https://openalex.org/W2116988482","https://openalex.org/W2129451521","https://openalex.org/W2132984323","https://openalex.org/W2153624566","https://openalex.org/W2168332608","https://openalex.org/W2470861207","https://openalex.org/W2528639018","https://openalex.org/W2564701384","https://openalex.org/W2565330852","https://openalex.org/W2573587735","https://openalex.org/W2579495707","https://openalex.org/W2613331518","https://openalex.org/W2770717124","https://openalex.org/W2772724270","https://openalex.org/W2781156794","https://openalex.org/W2793811777","https://openalex.org/W2808955427","https://openalex.org/W2900659728","https://openalex.org/W2942392852","https://openalex.org/W2946782700","https://openalex.org/W2963235422","https://openalex.org/W2963358464","https://openalex.org/W2964145825","https://openalex.org/W2964311892","https://openalex.org/W2964321699","https://openalex.org/W2996451395","https://openalex.org/W3103720336","https://openalex.org/W4289294434","https://openalex.org/W6619978402","https://openalex.org/W6628877408","https://openalex.org/W6637178625","https://openalex.org/W6713582119","https://openalex.org/W6720006811","https://openalex.org/W6728547873","https://openalex.org/W6746015598","https://openalex.org/W6746536644","https://openalex.org/W6748385761","https://openalex.org/W6756151100","https://openalex.org/W6785773631"],"related_works":["https://openalex.org/W2611163850","https://openalex.org/W1845849701","https://openalex.org/W3015250136","https://openalex.org/W1980812295","https://openalex.org/W2044218713","https://openalex.org/W2625268413","https://openalex.org/W2382174632","https://openalex.org/W2962989220","https://openalex.org/W2129959498","https://openalex.org/W2077021924"],"abstract_inverted_index":{"As":[0],"a":[1,26,68,73,103,139,182],"crucial":[2],"part":[3],"of":[4,12,55,94,155,203],"the":[5,34,52,62,151,174,179,207],"Intelligent":[6],"Transportation":[7],"System,":[8],"traffic":[9,16,23,40,56,77,80,117,129,156,183],"forecasting":[10],"is":[11,30,147],"great":[13],"help":[14],"for":[15],"management":[17],"and":[18,161,189],"guidance.":[19],"However,":[20],"predicting":[21],"short-term":[22],"conditions":[24],"on":[25,76,181],"large-scale":[27],"road":[28,69],"network":[29,145],"challenging":[31],"due":[32],"to":[33,50,113,126,149,169],"complex":[35],"spatio-temporal":[36,153],"dependencies":[37,154],"found":[38],"in":[39,67,186,206],"data.":[41],"Previous":[42],"studies":[43],"used":[44],"Euclidean":[45],"proximity":[46],"or":[47],"topological":[48],"adjacency":[49],"explore":[51],"spatial":[53],"correlation":[54],"flows,":[57],"but":[58],"did":[59],"not":[60],"consider":[61],"higher-order":[63,152],"connectivity":[64],"patterns":[65],"exhibited":[66],"network,":[70],"which":[71],"have":[72,90],"significant":[74],"influence":[75],"propagation.":[78],"Meanwhile,":[79],"sequences":[81],"display":[82],"distinct":[83],"multiple":[84],"time-frequency":[85],"properties,":[86],"yet":[87],"few":[88],"researchers":[89],"made":[91],"full":[92],"use":[93],"this":[95,99],"resource.":[96],"To":[97],"fill":[98],"gap,":[100],"we":[101],"propose":[102],"novel":[104],"hybrid":[105],"framework":[106,180],"\u2013":[107],"Wavelet-based":[108],"Higher-order":[109],"Spatial-Temporal":[110],"method":[111],"(Wavelet-HST)":[112],"accurately":[114],"predict":[115],"network-scale":[116],"speeds.":[118],"Wavelet-HST":[119,194],"first":[120],"uses":[121],"discrete":[122],"wavelet":[123],"transform":[124],"(DWT)":[125],"decompose":[127],"raw":[128],"data":[130],"into":[131],"several":[132],"components":[133],"with":[134],"different":[135],"frequency":[136],"sub-bands.":[137],"Then":[138],"motif-based":[140],"graph":[141],"convolutional":[142],"recurrent":[143],"neural":[144],"(Motif-GCRNN)":[146],"proposed":[148],"learn":[150],"speeds":[157],"from":[158,173],"low-frequency":[159],"components,":[160],"auto-regressive":[162],"moving":[163],"average":[164],"(ARMA)":[165],"models":[166],"are":[167],"employed":[168],"simulate":[170],"random":[171],"fluctuations":[172],"high-frequency":[175],"components.":[176],"We":[177],"evaluate":[178],"dataset":[184],"collected":[185],"Chengdu,":[187],"China,":[188],"experimental":[190],"results":[191],"demonstrate":[192],"that":[193],"outperforms":[195],"six":[196],"state-of-art":[197],"prediction":[198],"methods":[199],"by":[200],"an":[201],"improvement":[202],"7.8%":[204],"~10.5%":[205],"root":[208],"mean":[209],"square":[210],"error.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
