{"id":"https://openalex.org/W2735315598","doi":"https://doi.org/10.23919/acc.2017.7963497","title":"Offset optimization of signalized intersections via the Burer-Monteiro method","display_name":"Offset optimization of signalized intersections via the Burer-Monteiro method","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735315598","doi":"https://doi.org/10.23919/acc.2017.7963497","mag":"2735315598"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2017.7963497","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","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/A5101408597","display_name":"Eric S. Kim","orcid":"https://orcid.org/0000-0002-2926-7994"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eric S. Kim","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California, Berkeley"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060808786","display_name":"Cheng-Ju Wu","orcid":"https://orcid.org/0000-0002-7406-9962"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng-Ju Wu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California, Berkeley"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002745879","display_name":"Roberto Horowitz","orcid":"https://orcid.org/0000-0003-2807-0054"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roberto Horowitz","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California, Berkeley"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025743742","display_name":"Murat Arcak","orcid":"https://orcid.org/0000-0001-9060-4032"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murat Arcak","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California, Berkeley"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101408597"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":1.207,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80191597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3554","last_page":"3559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9872999787330627,"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"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9872999787330627,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9833999872207642,"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/offset","display_name":"Offset (computer science)","score":0.7898803353309631},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6953471302986145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6222403049468994},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.5926564931869507},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5696688890457153},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5599960684776306},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5538265109062195},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5412854552268982},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4624495804309845},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.4238622784614563},{"id":"https://openalex.org/keywords/conic-optimization","display_name":"Conic optimization","score":0.422515332698822},{"id":"https://openalex.org/keywords/microsimulation","display_name":"Microsimulation","score":0.4132031202316284},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3763939142227173},{"id":"https://openalex.org/keywords/convex-combination","display_name":"Convex combination","score":0.26185280084609985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24849161505699158},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10178482532501221},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.0875220000743866}],"concepts":[{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.7898803353309631},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6953471302986145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6222403049468994},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.5926564931869507},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5696688890457153},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5599960684776306},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5538265109062195},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5412854552268982},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4624495804309845},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.4238622784614563},{"id":"https://openalex.org/C79187972","wikidata":"https://www.wikidata.org/wiki/Q2654791","display_name":"Conic optimization","level":5,"score":0.422515332698822},{"id":"https://openalex.org/C2780015235","wikidata":"https://www.wikidata.org/wiki/Q1934035","display_name":"Microsimulation","level":2,"score":0.4132031202316284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3763939142227173},{"id":"https://openalex.org/C111110010","wikidata":"https://www.wikidata.org/wiki/Q2627315","display_name":"Convex combination","level":4,"score":0.26185280084609985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24849161505699158},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10178482532501221},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0875220000743866},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2017.7963497","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1669104078","https://openalex.org/W2005102197","https://openalex.org/W2049371785","https://openalex.org/W2118550318","https://openalex.org/W2143075842","https://openalex.org/W2143703915","https://openalex.org/W2290208944","https://openalex.org/W2426334170","https://openalex.org/W2594893535","https://openalex.org/W4212997115","https://openalex.org/W4298393077","https://openalex.org/W6717724730"],"related_works":["https://openalex.org/W2466516768","https://openalex.org/W4381623700","https://openalex.org/W2317735557","https://openalex.org/W2126351339","https://openalex.org/W4297174051","https://openalex.org/W2012204533","https://openalex.org/W3139158759","https://openalex.org/W2216036554","https://openalex.org/W608274465","https://openalex.org/W3135309989"],"abstract_inverted_index":{"This":[0],"paper":[1],"tackles":[2],"the":[3,30,41,100,103,116,123,130,136],"offset":[4,44],"optimization":[5,45],"problem":[6,46,86],"which":[7],"seeks":[8],"to":[9],"coordinate":[10],"traffic":[11,16],"signals":[12,22],"in":[13,111,140],"a":[14,24,51,83,126],"large":[15,76],"network.":[17],"By":[18],"assuming":[19],"that":[20,29,115,135],"all":[21],"have":[23],"common":[25],"cycle":[26],"time":[27,143],"and":[28,81,144],"arrival/departure":[31],"rates":[32],"at":[33],"each":[34],"intersection":[35],"can":[36,47],"be":[37,48],"approximated":[38],"by":[39],"sinusoids,":[40],"original":[42],"non-convex":[43],"relaxed":[49],"into":[50],"semidefinite":[52],"program":[53],"(SDP).":[54],"SDP":[55],"solvers":[56],"unfortunately":[57],"run":[58],"out":[59],"of":[60,67,102,122,129],"memory":[61],"for":[62,74],"larger":[63],"networks":[64],"with":[65,96],"thousands":[66],"intersections.":[68],"The":[69],"Burer-Monteiro":[70],"(BM)":[71],"method":[72,118],"[1]":[73],"solving":[75],"SDPs":[77],"avoids":[78],"conic":[79],"constraints":[80],"solves":[82],"lower":[84],"dimensional":[85],"but":[87],"is":[88],"non-convex.":[89],"A":[90],"synthetic":[91],"New":[92],"York":[93],"City":[94],"example":[95,107],"1771":[97],"intersections":[98,110],"showcases":[99],"scalability":[101],"BM":[104,117],"method.":[105],"Another":[106],"involving":[108],"420":[109],"Los":[112,131],"Angeles":[113,132],"demonstrates":[114],"recovers":[119],"optimal":[120],"solutions":[121],"SDP.":[124],"Moreover,":[125],"detailed":[127],"microsimulation":[128],"network":[133],"shows":[134],"optimized":[137],"offsets":[138],"result":[139],"reduced":[141],"delay":[142],"smaller":[145],"queues.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
