{"id":"https://openalex.org/W2899133821","doi":"https://doi.org/10.1109/tits.2018.2870400","title":"Short-Term Prediction of Signal Cycle on an Arterial With Actuated-Uncoordinated Control Using Sparse Time Series Models","display_name":"Short-Term Prediction of Signal Cycle on an Arterial With Actuated-Uncoordinated Control Using Sparse Time Series Models","publication_year":2018,"publication_date":"2018-10-30","ids":{"openalex":"https://openalex.org/W2899133821","doi":"https://doi.org/10.1109/tits.2018.2870400","mag":"2899133821"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2018.2870400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2870400","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5023534068","display_name":"Bahman Moghimi","orcid":"https://orcid.org/0000-0003-4129-1388"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bahman Moghimi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007282531","display_name":"Abolfazl Safikhani","orcid":"https://orcid.org/0000-0001-8678-1247"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abolfazl Safikhani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088536140","display_name":"Camille Kamga","orcid":"https://orcid.org/0000-0002-9223-700X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Camille Kamga","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043011100","display_name":"Wei Hao","orcid":"https://orcid.org/0000-0002-9301-8765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Hao","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9301-8765","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5068374815","display_name":"Jiaqi Ma","orcid":"https://orcid.org/0000-0002-8184-5157"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaqi Ma","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8184-5157","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023534068"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7487,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.84641531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"20","issue":"8","first_page":"2976","last_page":"2985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10524","display_name":"Traffic control and management","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7083717584609985},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6170458197593689},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5632238388061523},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5369949340820312},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.49526944756507874},{"id":"https://openalex.org/keywords/long-term-prediction","display_name":"Long-term prediction","score":0.4582667946815491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4339653253555298},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39429569244384766},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.33613884449005127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27501583099365234},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.195805162191391},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1906072199344635},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12943175435066223},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11721208691596985}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7083717584609985},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6170458197593689},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5632238388061523},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5369949340820312},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.49526944756507874},{"id":"https://openalex.org/C2776537626","wikidata":"https://www.wikidata.org/wiki/Q4047883","display_name":"Long-term prediction","level":2,"score":0.4582667946815491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4339653253555298},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39429569244384766},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.33613884449005127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27501583099365234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.195805162191391},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1906072199344635},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12943175435066223},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11721208691596985},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2018.2870400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2870400","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G6010091942","display_name":null,"funder_award_id":"IIS-1302423","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W565774480","https://openalex.org/W575008786","https://openalex.org/W1539012881","https://openalex.org/W1973943669","https://openalex.org/W1975285212","https://openalex.org/W1982978808","https://openalex.org/W1998798635","https://openalex.org/W2003873404","https://openalex.org/W2027392238","https://openalex.org/W2034320970","https://openalex.org/W2051612742","https://openalex.org/W2058171396","https://openalex.org/W2061940491","https://openalex.org/W2071880269","https://openalex.org/W2078125201","https://openalex.org/W2096637869","https://openalex.org/W2100556411","https://openalex.org/W2103785804","https://openalex.org/W2126831543","https://openalex.org/W2135046866","https://openalex.org/W2140323676","https://openalex.org/W2150488999","https://openalex.org/W2155350940","https://openalex.org/W2159878099","https://openalex.org/W2347110957","https://openalex.org/W2404102969","https://openalex.org/W2564747559","https://openalex.org/W2772329499","https://openalex.org/W2798056406","https://openalex.org/W2889909460","https://openalex.org/W2962716677","https://openalex.org/W2962960549","https://openalex.org/W3124642795","https://openalex.org/W3150435615","https://openalex.org/W4298058555","https://openalex.org/W6616411942","https://openalex.org/W6632282575","https://openalex.org/W6731004731"],"related_works":["https://openalex.org/W2622688551","https://openalex.org/W2119012848","https://openalex.org/W1990205660","https://openalex.org/W1550175370","https://openalex.org/W4387331850","https://openalex.org/W623200377","https://openalex.org/W2990600680","https://openalex.org/W2093808649","https://openalex.org/W2125784081","https://openalex.org/W1485535213"],"abstract_inverted_index":{"Traffic":[0],"signals":[1,87,103],"as":[2,66,224,232],"part":[3],"of":[4,30,52,61,101,120,140,144,174,182],"intelligent":[5],"transportation":[6],"systems":[7],"can":[8,73],"play":[9],"a":[10,28,59,90,129,149,152,163,185],"significant":[11],"role":[12],"in":[13,42,151,191],"making":[14],"cities":[15],"smart.":[16],"Conventionally,":[17],"most":[18],"traffic":[19,37,40,53,175],"lights":[20,38],"are":[21,46,85],"designed":[22],"with":[23,92,165,171],"fixed-time":[24],"control,":[25],"which":[26],"induces":[27],"lot":[29],"slack":[31],"time":[32,44,62,131,202],"(unused":[33],"green":[34],"time).":[35],"Actuated":[36],"control":[39],"flow":[41],"real":[43],"and":[45,95,211],"more":[47,226],"responsive":[48],"to":[49,108,136,195,221],"the":[50,78,97,118,138,179,183,192,206,213],"variation":[51,100],"demands.":[54],"For":[55],"an":[56],"isolated":[57],"signal,":[58],"family":[60],"series":[63,132,203],"models,":[64,72,230],"such":[65,102,231],"autoregressive":[67,216],"integrated":[68],"moving":[69],"average":[70],"(ARIMA)":[71],"be":[74],"beneficial":[75],"for":[76],"predicting":[77],"next":[79],"cycle":[80,98,142],"length.":[81],"However,":[82],"when":[83],"there":[84],"multiple":[86,145,172],"placed":[88,147],"along":[89,148,162],"corridor":[91,150],"different":[93,166],"spacing":[94,167],"configurations,":[96],"length":[99],"is":[104,114,134,189],"not":[105],"just":[106],"related":[107],"each":[109],"signal\u2019s":[110],"values,":[111],"but":[112],"it":[113],"also":[115],"affected":[116],"by":[117],"platoon":[119],"vehicles":[121],"coming":[122],"from":[123],"neighboring":[124],"intersections.":[125],"In":[126],"this":[127],"paper,":[128],"multivariate":[130],"model":[133],"developed":[135],"analyze":[137],"behavior":[139],"signal":[141,207],"lengths":[143],"intersections":[146,158],"fully":[153],"actuated":[154],"setup.":[155],"Five":[156],"signalized":[157],"have":[159],"been":[160],"modeled":[161],"corridor,":[164],"among":[168],"them,":[169],"together":[170],"levels":[173],"demand.":[176],"To":[177],"tackle":[178],"high-dimensional":[180],"nature":[181],"problem,":[184],"penalized":[186],"least-squares":[187],"method":[188],"utilized":[190],"estimation":[193],"procedure":[194],"output":[196],"sparse":[197,201],"models.":[198],"Two":[199],"proposed":[200],"methods":[204],"captured":[205],"data":[208],"reasonably":[209],"well":[210,223],"outperformed":[212],"conventional":[214],"vector":[215],"model\u2014in":[217],"some":[218],"cases":[219],"up":[220],"17%\u2014as":[222],"being":[225],"powerful":[227],"than":[228],"univariate":[229],"ARIMA.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}