{"id":"https://openalex.org/W2899541803","doi":"https://doi.org/10.1109/tits.2019.2922900","title":"Gramian-Based Optimization for the Analysis and Control of Traffic Networks","display_name":"Gramian-Based Optimization for the Analysis and Control of Traffic Networks","publication_year":2019,"publication_date":"2019-06-26","ids":{"openalex":"https://openalex.org/W2899541803","doi":"https://doi.org/10.1109/tits.2019.2922900","mag":"2899541803"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2019.2922900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2922900","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":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1811.02673","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051265052","display_name":"Gianluca Bianchin","orcid":"https://orcid.org/0000-0002-3234-5535"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gianluca Bianchin","raw_affiliation_strings":["Department of Mechanical Engineering, University of California at Riverside, Riverside, USA","Department of Mechanical Engineering, University of California at Riverside, Riverside, CA, USA#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-3234-5535","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California at Riverside, Riverside, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of California at Riverside, Riverside, CA, USA#TAB#","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049920415","display_name":"Fabio Pasqualetti","orcid":"https://orcid.org/0000-0002-8457-8656"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fabio Pasqualetti","raw_affiliation_strings":["Department of Mechanical Engineering, University of California at Riverside, Riverside, USA","Department of Mechanical Engineering, University of California at Riverside, Riverside, CA, USA#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-8457-8656","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California at Riverside, Riverside, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Department of Mechanical Engineering, University of California at Riverside, Riverside, CA, USA#TAB#","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1686,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44643553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":"7","first_page":"3013","last_page":"3024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9994000196456909,"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":0.9994000196456909,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9927999973297119,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9890999794006348,"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/computer-science","display_name":"Computer science","score":0.7752349376678467},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.751614511013031},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6159563064575195},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5473348498344421},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.47967100143432617},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4488096237182617},{"id":"https://openalex.org/keywords/network-traffic-control","display_name":"Network traffic control","score":0.4429546296596527},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43457096815109253},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4187670350074768},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15343093872070312},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09460875391960144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07975015044212341},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07863634824752808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7752349376678467},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.751614511013031},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6159563064575195},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5473348498344421},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.47967100143432617},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4488096237182617},{"id":"https://openalex.org/C201100257","wikidata":"https://www.wikidata.org/wiki/Q393287","display_name":"Network traffic control","level":3,"score":0.4429546296596527},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43457096815109253},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4187670350074768},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15343093872070312},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09460875391960144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07975015044212341},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07863634824752808},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","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/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tits.2019.2922900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2922900","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"},{"id":"pmh:oai:arXiv.org:1811.02673","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1811.02673","pdf_url":"https://arxiv.org/pdf/1811.02673","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2899541803","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1811.02673","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:dial.uclouvain.be:boreal:278032","is_oa":true,"landing_page_url":"http://hdl.handle.net/2078/278032","pdf_url":null,"source":{"id":"https://openalex.org/S4306401974","display_name":"DIAL (Catholic University of Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems, Vol. 21, no.7, p. 3013-3024 (2020)","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.1811.02673","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1811.02673","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1811.02673","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1811.02673","pdf_url":"https://arxiv.org/pdf/1811.02673","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G55216455","display_name":null,"funder_award_id":"71603NSYIP","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G5546992047","display_name":null,"funder_award_id":"CNS1646641","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2899541803.pdf","grobid_xml":"https://content.openalex.org/works/W2899541803.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W5525483","https://openalex.org/W1975342992","https://openalex.org/W2007894170","https://openalex.org/W2019974229","https://openalex.org/W2032549372","https://openalex.org/W2037141248","https://openalex.org/W2061348089","https://openalex.org/W2088748973","https://openalex.org/W2095797625","https://openalex.org/W2096124718","https://openalex.org/W2131398657","https://openalex.org/W2139728973","https://openalex.org/W2144488633","https://openalex.org/W2158976462","https://openalex.org/W2159633185","https://openalex.org/W2160085675","https://openalex.org/W2160261378","https://openalex.org/W2266946488","https://openalex.org/W2290536521","https://openalex.org/W2290569417","https://openalex.org/W2487175822","https://openalex.org/W2528158610","https://openalex.org/W2528319639","https://openalex.org/W2548722511","https://openalex.org/W2588904978","https://openalex.org/W2790027641","https://openalex.org/W2913171283","https://openalex.org/W6600981286","https://openalex.org/W6688475801","https://openalex.org/W6732080978"],"related_works":["https://openalex.org/W2964158619","https://openalex.org/W2913171283","https://openalex.org/W1943801851","https://openalex.org/W2078225548","https://openalex.org/W1485687784","https://openalex.org/W1934779415","https://openalex.org/W1993035318","https://openalex.org/W1504258592","https://openalex.org/W1982576773","https://openalex.org/W1913336966","https://openalex.org/W2049574696","https://openalex.org/W2370212302","https://openalex.org/W2782406368","https://openalex.org/W2099824923","https://openalex.org/W2758552308","https://openalex.org/W2267556053","https://openalex.org/W1980413587","https://openalex.org/W2965054383","https://openalex.org/W2378207504","https://openalex.org/W2900031987"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,111,123,135],"simplified":[4],"version":[5],"of":[6,17,38,52,59,66,80,88,110,113,115,137,145,165],"classical":[7],"models":[8],"for":[9,161],"urban":[10,163],"traffic":[11,34,69],"networks":[12],"and":[13,48,149,154],"studies":[14],"the":[15,19,25,36,50,63,78,86,92,95,108,116,128,132,143,146,162],"problem":[16,75],"optimizing":[18,81],"network":[20],"overall":[21],"efficiency":[22,105],"by":[23,62,84,130],"controlling":[24,85],"signalized":[26],"intersections.":[27],"Differently":[28],"from":[29],"traditional":[30],"approaches":[31],"to":[32,43,103,125],"control":[33],"signaling,":[35],"tractability":[37],"our":[39],"framework":[40,100,151],"allows":[41,101],"us":[42,102],"effectively":[44],"model":[45],"large-scale":[46],"interconnections":[47],"enables":[49],"design":[51],"critical":[53],"parameters":[54],"while":[55],"considering":[56],"network-wide":[57],"measures":[58],"efficiency.":[60],"Motivated":[61],"increasing":[64],"availability":[65],"real-time":[67],"high-resolution":[68],"data,":[70],"we":[71,141],"cast":[72],"an":[73],"optimization":[74,109,129,150],"that":[76],"formalizes":[77],"goal":[79],"vehicle":[82],"evacuation":[83],"durations":[87],"green":[89],"lights":[90],"at":[91],"intersections":[93],"under":[94],"current":[96],"congestion":[97],"conditions.":[98],"Our":[99],"relate":[104],"objectives":[106],"with":[107],"metric":[112],"controllability":[114],"associated":[117],"dynamical":[118],"network.":[119],"We":[120],"then":[121],"provide":[122],"technique":[124],"efficiently":[126],"solve":[127],"parallelizing":[131],"computation":[133],"among":[134],"group":[136],"distributed":[138],"agents.":[139],"Last,":[140],"assess":[142],"benefits":[144],"proposed":[147],"modeling":[148],"through":[152],"macroscopic":[153],"microscopic":[155],"simulations":[156],"on":[157],"daily":[158],"commute":[159],"scenarios":[160],"interconnection":[164],"Manhattan,":[166],"NY,":[167],"USA.":[168]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
