{"id":"https://openalex.org/W2785362665","doi":"https://doi.org/10.1109/tkde.2018.2795001","title":"Capturing the Spatiotemporal Evolution in Road Traffic Networks","display_name":"Capturing the Spatiotemporal Evolution in Road Traffic Networks","publication_year":2018,"publication_date":"2018-01-18","ids":{"openalex":"https://openalex.org/W2785362665","doi":"https://doi.org/10.1109/tkde.2018.2795001","mag":"2785362665"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2018.2795001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2018.2795001","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://research-repository.griffith.edu.au/bitstreams/c8707227-7125-49f8-b2cb-fec035226018/download","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067776186","display_name":"Tarique Anwar","orcid":"https://orcid.org/0000-0001-7157-0236"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tarique Anwar","raw_affiliation_strings":["Indian Institute of Technology Ropar, Rupnagar, India"],"raw_orcid":"https://orcid.org/0000-0001-7157-0236","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Ropar, Rupnagar, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028546502","display_name":"Chengfei Liu","orcid":"https://orcid.org/0000-0003-1675-1389"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chengfei Liu","raw_affiliation_strings":["Swinburne University of Technology, Hawthorn, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Hawthorn, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069363273","display_name":"Hai L. Vu","orcid":"https://orcid.org/0000-0001-6984-2060"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hai L. Vu","raw_affiliation_strings":["Institute of Transport Studies, Monash University, Clayton, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Transport Studies, Monash University, Clayton, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420838","display_name":"Md. Saiful Islam","orcid":"https://orcid.org/0000-0001-7181-5328"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Md. Saiful Islam","raw_affiliation_strings":["Griffith University, Nathan, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Griffith University, Nathan, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020449921","display_name":"Timos Sellis","orcid":"https://orcid.org/0000-0002-9067-5639"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Timos Sellis","raw_affiliation_strings":["Swinburne University of Technology, Hawthorn, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Hawthorn, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7884,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.91422819,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"30","issue":"8","first_page":"1426","last_page":"1439"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9941999912261963,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8294987678527832},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.7463085651397705},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5598130226135254},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5492602586746216},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5266908407211304},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5234010815620422},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.455992192029953},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.42823362350463867},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16172784566879272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8294987678527832},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7463085651397705},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5598130226135254},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5492602586746216},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5266908407211304},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5234010815620422},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.455992192029953},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42823362350463867},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16172784566879272},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tkde.2018.2795001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2018.2795001","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/369394","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/369394","pdf_url":"https://research-repository.griffith.edu.au/bitstreams/c8707227-7125-49f8-b2cb-fec035226018/download","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:81c1cb71-1138-4cd7-97eb-cf2b79521ae8/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/441973","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering, Vol. 30, no. 8 (Aug 2018), pp. 1426-1439","raw_type":null}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/369394","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/369394","pdf_url":"https://research-repository.griffith.edu.au/bitstreams/c8707227-7125-49f8-b2cb-fec035226018/download","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2785362665.pdf","grobid_xml":"https://content.openalex.org/works/W2785362665.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W93792061","https://openalex.org/W565831421","https://openalex.org/W1980295590","https://openalex.org/W2016051762","https://openalex.org/W2019246776","https://openalex.org/W2031769050","https://openalex.org/W2061928787","https://openalex.org/W2069069662","https://openalex.org/W2086662759","https://openalex.org/W2089906307","https://openalex.org/W2105522639","https://openalex.org/W2117618130","https://openalex.org/W2133835494","https://openalex.org/W2153624566","https://openalex.org/W2160080073","https://openalex.org/W2172041433","https://openalex.org/W2231777001","https://openalex.org/W2257812508","https://openalex.org/W2273707087","https://openalex.org/W2276629428","https://openalex.org/W2529026485","https://openalex.org/W2532536081","https://openalex.org/W6616053203","https://openalex.org/W6666044432","https://openalex.org/W6689637345","https://openalex.org/W6692203553"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W4256502920","https://openalex.org/W103652678","https://openalex.org/W2999756192","https://openalex.org/W4226090359","https://openalex.org/W4382701072","https://openalex.org/W2011624601","https://openalex.org/W2002863235"],"abstract_inverted_index":{"The":[0,48,119,223],"urban":[1],"road":[2,127],"networks":[3],"undergo":[4],"frequent":[5],"traffic":[6,35],"congestions":[7],"during":[8],"the":[9,14,18,22,77,104,109,144,159,163,183,190,207,214],"peak":[10],"hours":[11],"and":[12,38,92,135,197],"around":[13],"city":[15],"center.":[16],"Capturing":[17],"spatiotemporal":[19],"evolution":[20,105],"of":[21,57,66,80,89,125,186],"congestion":[23,49,67],"scenario":[24,50],"in":[25,27,32,41,87,111,131,150,166,189,221],"real-time":[26],"an":[28,112,155,173],"urban-scale":[29],"can":[30],"aid":[31],"developing":[33],"smart":[34],"management":[36],"systems,":[37],"guiding":[39],"commuters":[40],"making":[42],"informed":[43],"decision":[44],"about":[45,162],"route":[46],"choice.":[47],"is":[51,210],"often":[52],"represented":[53],"by":[54,106],"a":[55,63,99,116,123,132,167,229],"set":[56,124],"distinguishable":[58],"network":[59,128],"partitions":[60,83,110,165],"that":[61,180,206],"have":[62],"homogeneous":[64],"level":[65],"inside":[68],"them":[69],"but":[70],"are":[71],"heterogeneous":[72],"to":[73,76,102,139,152,157],"others.":[74],"Due":[75],"dynamic":[78],"nature":[79],"traffic,":[81],"these":[82],"evolve":[84],"with":[85,193,232],"time":[86,237],"terms":[88],"their":[90,199],"structure":[91],"location.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97],"propose":[98,172],"comprehensive":[100],"framework":[101],"capture":[103],"incrementally":[107,140],"updating":[108],"efficient":[113,200,212],"manner":[114],"using":[115],"two-layer":[117],"approach.":[118],"physical":[120,160],"layer":[121,146,161],"maintains":[122],"small-sized":[126],"building":[129,187],"blocks":[130,188],"fine":[133],"granularity,":[134],"performs":[136,147],"low-level":[137],"computations":[138,149],"update":[141],"them,":[142],"whereas":[143],"logical":[145],"high-level":[148],"order":[151],"serve":[153],"as":[154],"interface":[156],"query":[158],"congested":[164],"coarse":[168],"granularity.":[169],"We":[170],"also":[171],"in-memory":[174],"index":[175],"called":[176],"<monospace":[177,225],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[178,226],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Bin</monospace>":[179,227],"compactly":[181],"stores":[182],"historical":[184],"sets":[185],"main":[191],"memory":[192],"no":[194],"information":[195],"loss,":[196],"facilitates":[198],"retrieval.":[201],"Our":[202],"experimental":[203],"results":[204],"show":[205],"proposed":[208,224],"method":[209],"much":[211],"than":[213],"existing":[215],"re-partitioning":[216],"methods":[217],"without":[218],"significant":[219],"sacrifice":[220],"accuracy.":[222],"consumes":[228],"minimum":[230],"space":[231],"least":[233],"redundancy":[234],"at":[235],"different":[236],"stamps.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
