{"id":"https://openalex.org/W3009324813","doi":"https://doi.org/10.1109/icsai48974.2019.9010150","title":"Foreseeing Congestion using LSTM on Urban Traffic Flow Clusters","display_name":"Foreseeing Congestion using LSTM on Urban Traffic Flow Clusters","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3009324813","doi":"https://doi.org/10.1109/icsai48974.2019.9010150","mag":"3009324813"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021762562","display_name":"Ziyue Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ziyue Wang","raw_affiliation_strings":["Department of Computer Science, University of Manitoba Winnipeg, Manitoba, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Manitoba Winnipeg, Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028631410","display_name":"Parimala Thulasiraman","orcid":"https://orcid.org/0000-0002-6445-3629"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Parimala Thulasiraman","raw_affiliation_strings":["Department of Computer Science, University of Manitoba Winnipeg, Manitoba, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Manitoba Winnipeg, Manitoba, Canada","institution_ids":["https://openalex.org/I46247651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I46247651"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.30540254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"768","last_page":"774"},"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":0.9983999729156494,"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":0.9976000189781189,"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":0.7664756774902344},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6977181434631348},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.6826179623603821},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.6012117862701416},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5922937989234924},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5506495833396912},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.5184204578399658},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4886660873889923},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4629206657409668},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4589686095714569},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4540101885795593},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4163323938846588},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4106062650680542},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35841184854507446},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33768582344055176},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.26757878065109253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25100404024124146},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12535178661346436},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12055793404579163},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09736764430999756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664756774902344},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6977181434631348},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.6826179623603821},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.6012117862701416},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5922937989234924},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5506495833396912},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.5184204578399658},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4886660873889923},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4629206657409668},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4589686095714569},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4540101885795593},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4163323938846588},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4106062650680542},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35841184854507446},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33768582344055176},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.26757878065109253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25100404024124146},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12535178661346436},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12055793404579163},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09736764430999756},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6000000238418579,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W626441390","https://openalex.org/W1522301498","https://openalex.org/W1973943669","https://openalex.org/W2004353783","https://openalex.org/W2024558842","https://openalex.org/W2027392238","https://openalex.org/W2036785686","https://openalex.org/W2064675550","https://openalex.org/W2073640212","https://openalex.org/W2082533141","https://openalex.org/W2100649405","https://openalex.org/W2132711183","https://openalex.org/W2145039203","https://openalex.org/W2150010190","https://openalex.org/W2150152686","https://openalex.org/W2160507653","https://openalex.org/W2171234954","https://openalex.org/W2277710627","https://openalex.org/W2533328922","https://openalex.org/W2564701384","https://openalex.org/W2572939427","https://openalex.org/W2579495707","https://openalex.org/W2981722124","https://openalex.org/W6619978402","https://openalex.org/W6659849045"],"related_works":["https://openalex.org/W4390987329","https://openalex.org/W2972320057","https://openalex.org/W4386289889","https://openalex.org/W2074943018","https://openalex.org/W3117279048","https://openalex.org/W2945875309","https://openalex.org/W4220875044","https://openalex.org/W4206269847","https://openalex.org/W2898775471","https://openalex.org/W2587362999"],"abstract_inverted_index":{"Currently,":[0],"Intelligent":[1],"Transportation":[2],"Systems":[3],"(ITS),":[4],"is":[5,68,94,98],"revolutionizing":[6],"the":[7,63,84,125,143,161],"transportation":[8,40],"industry.":[9],"ITS":[10],"incorporates":[11],"advanced":[12],"Internet":[13],"of":[14,27,74,145,163],"Things":[15],"(IoT)":[16],"technologies":[17,23],"to":[18,38,83],"implement":[19],"Smart":[20],"City.":[21],"These":[22],"produce":[24],"tremendous":[25],"amount":[26],"real":[28],"time":[29],"data":[30,179],"from":[31,115],"diverse":[32],"sources":[33],"that":[34],"can":[35],"be":[36,90],"used":[37],"solve":[39],"problems.":[41],"In":[42],"this":[43,105,119,148],"paper,":[44],"we":[45,122,141],"focus":[46],"on":[47,147,175],"one":[48],"such":[49],"problem,":[50],"traffic":[51,61,130,146,178],"congestion":[52,93],"in":[53,81],"urban":[54],"areas.":[55],"A":[56],"road":[57,65,86,126],"segment":[58,87],"affected":[59,128],"by":[60,107,129],"affects":[62],"surrounding":[64],"segments.":[66],"This":[67],"obvious.":[69],"However,":[70],"over":[71],"a":[72,110,135],"period":[73],"time,":[75],"other":[76],"roads":[77],"not":[78,95],"necessarily":[79],"close":[80],"proximity":[82],"congested":[85],"may":[88],"also":[89],"affected.":[91],"The":[92],"stationary.":[96],"It":[97],"dynamic":[99],"and":[100,159,167,172],"it":[101],"spreads.":[102],"We":[103,157],"address":[104],"issue":[106],"first":[108],"formulating":[109],"similarity":[111,120],"function":[112],"using":[113,131,150],"ideas":[114],"network":[116,155],"theory.":[117],"Using":[118],"function,":[121],"then":[123],"cluster":[124,149],"points":[127],"affinity":[132],"propagation":[133],"clustering,":[134],"distributed":[136],"message":[137],"passing":[138],"algorithm.":[139],"Finally,":[140],"predict":[142],"effect":[144],"long-short":[151],"term":[152],"memory":[153],"neural":[154],"model.":[156],"evaluate":[158],"show":[160],"feasibility":[162],"our":[164],"proposed":[165],"clustering":[166],"prediction":[168],"algorithm":[169],"during":[170],"peak":[171],"non-peak":[173],"hours":[174],"open":[176],"source":[177],"set.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}