{"id":"https://openalex.org/W4320058092","doi":"https://doi.org/10.1109/paap56126.2022.10010538","title":"Traffic Speed Prediction of Road Cluster with Heterogeneous Sampling Frequency","display_name":"Traffic Speed Prediction of Road Cluster with Heterogeneous Sampling Frequency","publication_year":2022,"publication_date":"2022-11-25","ids":{"openalex":"https://openalex.org/W4320058092","doi":"https://doi.org/10.1109/paap56126.2022.10010538"},"language":"en","primary_location":{"id":"doi:10.1109/paap56126.2022.10010538","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/paap56126.2022.10010538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 13th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)","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/A5076931362","display_name":"Guiyuan Jiang","orcid":"https://orcid.org/0000-0002-1398-821X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiyuan Jiang","raw_affiliation_strings":["Ocean University of China,Qingdao,China","Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053523719","display_name":"Peilan He","orcid":"https://orcid.org/0000-0002-7411-2801"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peilan He","raw_affiliation_strings":["Ocean University of China,Qingdao,China","Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060755096","display_name":"Jigang Wu","orcid":"https://orcid.org/0000-0002-6470-9794"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jigang Wu","raw_affiliation_strings":["Guangdong University of Technology,Guangzhou,China","Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I139024713"]},{"raw_affiliation_string":"Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629959","display_name":"Yidan Sun","orcid":"https://orcid.org/0000-0002-3607-4963"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yidan Sun","raw_affiliation_strings":["Nanyang Technological University,Singapore","Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070475093","display_name":"Thambipillai Srikanthan","orcid":"https://orcid.org/0000-0003-3664-4345"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Thambipillai Srikanthan","raw_affiliation_strings":["Nanyang Technological University,Singapore","Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17863574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"6"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9944999814033508,"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":0.9933000206947327,"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/computer-science","display_name":"Computer science","score":0.7474811673164368},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6205066442489624},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5522852540016174},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.5182021260261536},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.505500078201294},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.443586528301239},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.44241392612457275},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.43918073177337646},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4163432717323303},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.413073867559433},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.38150128722190857},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3487642705440521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29336100816726685},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24675822257995605},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.15702635049819946},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15370914340019226},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.12288990616798401},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11280760169029236},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1099686324596405},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08902528882026672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7474811673164368},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6205066442489624},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5522852540016174},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.5182021260261536},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.505500078201294},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.443586528301239},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.44241392612457275},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.43918073177337646},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4163432717323303},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.413073867559433},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.38150128722190857},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3487642705440521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29336100816726685},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24675822257995605},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.15702635049819946},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15370914340019226},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.12288990616798401},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11280760169029236},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1099686324596405},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08902528882026672},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/paap56126.2022.10010538","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/paap56126.2022.10010538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 13th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.75,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2231777001","https://openalex.org/W2556405044","https://openalex.org/W2788503006","https://openalex.org/W2788997482","https://openalex.org/W2789788750","https://openalex.org/W2808871417","https://openalex.org/W2943963274","https://openalex.org/W2965341826","https://openalex.org/W2968259729","https://openalex.org/W2996451395","https://openalex.org/W3110353846","https://openalex.org/W3114481054","https://openalex.org/W3117808219","https://openalex.org/W3154965508","https://openalex.org/W3192193447","https://openalex.org/W4298238646","https://openalex.org/W6689637345","https://openalex.org/W6762978078"],"related_works":["https://openalex.org/W2009112536","https://openalex.org/W2410941711","https://openalex.org/W1550043390","https://openalex.org/W2587362999","https://openalex.org/W2007277743","https://openalex.org/W4297099588","https://openalex.org/W3157260122","https://openalex.org/W2905273075","https://openalex.org/W4320879016","https://openalex.org/W3165311439"],"abstract_inverted_index":{"Accurate":[0],"short-term":[1],"road":[2,31,49,56,76,95,178,207],"traffic":[3,14,44,88,105,122,131,203,231],"prediction":[4,27,90,111,123],"is":[5,226],"essential":[6],"for":[7,28,91,151],"achieving":[8],"intelligent":[9],"transportation":[10],"systems,":[11],"such":[12],"as":[13],"management,":[15],"travel":[16],"route":[17],"planning,":[18],"and":[19,100,121,141,174,181],"navigation.":[20],"The":[21,125,162,191,224],"existing":[22],"works":[23],"typically":[24],"provide":[25],"the":[26,43,55,85,129,153,186,196,202,213],"an":[29,221],"individual":[30],"segment":[32],"each":[33],"time.":[34],"Even":[35],"though":[36],"some":[37],"models":[38],"aim":[39],"to":[40,75,199],"simultaneously":[41,200],"predict":[42,201],"of":[45,48,78,87,94,104,114,155,171,205],"a":[46,59,92,109,210],"cluster":[47,57,93],"segments,":[50],"they":[51],"usually":[52],"assume":[53],"that":[54,167],"has":[58],"regular":[60],"network":[61,65,117,132,179],"topology":[62,99],"(e.g.,":[63,177],"ring":[64],"or":[66],"grid":[67],"network).":[68],"These":[69],"methods":[70],"cannot":[71],"be":[72],"easily":[73],"extended":[74],"networks":[77],"arbitrary":[79,98],"graph":[80],"topology.":[81],"This":[82],"paper":[83],"addresses":[84],"problem":[86],"speed":[89,172],"segments":[96,208],"with":[97,137,158],"heterogeneous":[101,159],"sampling":[102,160],"frequency":[103],"states.":[106],"We":[107],"propose":[108],"novel":[110],"framework":[112],"consisting":[113],"three":[115],"modules:":[116],"partitioning,":[118],"feature":[119],"extraction,":[120],"modules.":[124],"first":[126],"module":[127,164,193],"divides":[128],"entire":[130],"into":[133],"several":[134],"disjoint":[135],"clusters":[136],"high":[138],"intra-clusters":[139],"similarity":[140,154],"low":[142],"intercluster":[143],"similarity,":[144],"based":[145],"on":[146,195],"our":[147],"proposed":[148],"measurement":[149],"metrics":[150],"measuring":[152],"time":[156],"series":[157,173],"frequency.":[161,190],"second":[163],"extract":[165],"features":[166,198],"capture":[168],"temporal":[169],"correlations":[170,215],"contextual":[175],"factors":[176],"characteristics":[180],"extrinsic":[182],"factors)":[183],"while":[184],"considering":[185],"heterogeneity":[187],"in":[188,209],"data":[189,232],"third":[192],"relies":[194],"obtained":[197],"states":[204],"all":[206],"cluster,":[211],"where":[212],"spatial":[214],"among":[216],"roadways":[217],"are":[218],"captured":[219],"via":[220],"attention":[222],"mechanism.":[223],"performance":[225],"evaluated":[227],"using":[228],"large-scale":[229],"real-world":[230],"involving":[233],"42":[234],"bus":[235],"services.":[236]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
