{"id":"https://openalex.org/W2056361027","doi":"https://doi.org/10.1109/itsc.2014.6958143","title":"Congestion pattern model for predicting short-term traffic decongestion times","display_name":"Congestion pattern model for predicting short-term traffic decongestion times","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2056361027","doi":"https://doi.org/10.1109/itsc.2014.6958143","mag":"2056361027"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2014.6958143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6958143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","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/A5100747694","display_name":"Kyung-Min Lee","orcid":"https://orcid.org/0000-0003-2863-2985"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyungmin Lee","raw_affiliation_strings":["Department of Computer Engineering, Pusan National University, Busan, Republic of Korea","Department of Computer Engineering, Pusan National University, Busan, 609735, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Department of Computer Engineering, Pusan National University, Busan, 609735, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102777735","display_name":"Bonghee Hong","orcid":"https://orcid.org/0000-0002-4237-1761"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bonghee Hong","raw_affiliation_strings":["Department of Computer Engineering, Pusan National University, Busan, Republic of Korea","Department of Computer Engineering, Pusan National University, Busan, 609735, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Department of Computer Engineering, Pusan National University, Busan, 609735, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071017357","display_name":"Doseong Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Doseong Jeong","raw_affiliation_strings":["Department of Computer Engineering, Pusan National University, Busan, Republic of Korea","Department of Computer Engineering, Pusan National University, Busan, 609735, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Department of Computer Engineering, Pusan National University, Busan, 609735, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100379083","display_name":"Jiwan Lee","orcid":"https://orcid.org/0000-0001-6307-075X"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiwan Lee","raw_affiliation_strings":["Department of Computer Engineering, Pusan National University, Busan, Republic of Korea","Department of Computer Engineering, Pusan National University, Busan, 609735, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Pusan National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Department of Computer Engineering, Pusan National University, Busan, 609735, Republic of Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6741,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85529324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"2828","last_page":"2833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9926000237464905,"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/T11106","display_name":"Data Management and Algorithms","score":0.9919000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7110313177108765},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.6253286004066467},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5894096493721008},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5711567997932434},{"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":0.4477359354496002},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4289485514163971},{"id":"https://openalex.org/keywords/pattern-analysis","display_name":"Pattern analysis","score":0.4145023226737976},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4103667140007019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2824033498764038},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17198896408081055},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1248774528503418},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08218392729759216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7110313177108765},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.6253286004066467},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5894096493721008},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5711567997932434},{"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":0.4477359354496002},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4289485514163971},{"id":"https://openalex.org/C2985264313","wikidata":"https://www.wikidata.org/wiki/Q378859","display_name":"Pattern analysis","level":2,"score":0.4145023226737976},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4103667140007019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2824033498764038},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17198896408081055},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1248774528503418},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08218392729759216},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2014.6958143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6958143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W275737705","https://openalex.org/W1548228063","https://openalex.org/W2014013321","https://openalex.org/W2094909852","https://openalex.org/W2111688141","https://openalex.org/W2125362277","https://openalex.org/W2173213060","https://openalex.org/W6610018138"],"related_works":["https://openalex.org/W301804496","https://openalex.org/W2042439812","https://openalex.org/W2972320057","https://openalex.org/W2897741166","https://openalex.org/W4386289889","https://openalex.org/W1669406372","https://openalex.org/W4211214322","https://openalex.org/W4390987329","https://openalex.org/W2945875309","https://openalex.org/W3006152109"],"abstract_inverted_index":{"Analysis":[0],"of":[1,47,102,113],"patterns":[2],"in":[3,21,58],"big":[4],"traffic":[5,26,36],"data":[6],"can":[7,76],"predict":[8],"when":[9],"road":[10],"congestion":[11,39,59,88,99,124],"events":[12],"will":[13],"dissipate.":[14],"ITS":[15],"organizations":[16],"or":[17],"drivers":[18],"have":[19],"interest":[20],"these":[22],"pattern-based":[23],"prediction":[24],"about":[25],"congestion.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31,42,65],"propose":[32,43],"methods":[33],"for":[34,60,69,96,122],"predicting":[35],"decongestion":[37,120],"using":[38,49],"patterns.":[40,73],"First,":[41],"a":[44,67],"new":[45],"method":[46,54,68,75],"representation":[48],"branched":[50,62],"spatiotemporal":[51,56],"chains.":[52],"The":[53],"describes":[55],"changes":[57],"multiway":[61],"roads.":[63],"Second,":[64],"suggest":[66],"measuring":[70],"similarities":[71],"between":[72],"This":[74],"find":[77],"the":[78,86,93,97,103,111,114],"historical":[79,104],"pattern":[80],"that":[81,101],"is":[82],"most":[83],"similar":[84],"to":[85,109],"current":[87,98],"pattern.":[89,105],"It":[90],"then":[91],"estimates":[92],"end":[94,116],"time":[95],"as":[100],"We":[106],"performed":[107],"experiments":[108],"compare":[110],"similarity":[112],"estimated":[115],"times":[117,121],"with":[118],"real":[119],"actual":[123],"events.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}