{"id":"https://openalex.org/W3012381155","doi":"https://doi.org/10.1109/cdc40024.2019.9029749","title":"Time and Energy-Optimal Lane Change Maneuvers for Cooperating Connected and Automated Vehicles<sup>\u22c6</sup>","display_name":"Time and Energy-Optimal Lane Change Maneuvers for Cooperating Connected and Automated Vehicles<sup>\u22c6</sup>","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3012381155","doi":"https://doi.org/10.1109/cdc40024.2019.9029749","mag":"3012381155"},"language":"en","primary_location":{"id":"doi:10.1109/cdc40024.2019.9029749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9029749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th Conference on Decision and Control (CDC)","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/A5100618297","display_name":"Rui Chen","orcid":"https://orcid.org/0000-0003-0705-6739"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rui Chen","raw_affiliation_strings":["Division of Systems Engineering and Center for Information and Systems Engineering, Boston University, Brookline, MA"],"affiliations":[{"raw_affiliation_string":"Division of Systems Engineering and Center for Information and Systems Engineering, Boston University, Brookline, MA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047685950","display_name":"Christos G. Cassandras","orcid":"https://orcid.org/0000-0002-1625-7658"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos G. Cassandras","raw_affiliation_strings":["Division of Systems Engineering and Center for Information and Systems Engineering, Boston University, Brookline, MA"],"affiliations":[{"raw_affiliation_string":"Division of Systems Engineering and Center for Information and Systems Engineering, Boston University, Brookline, MA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023774369","display_name":"Amin Tahmasbi-Sarvestani","orcid":"https://orcid.org/0000-0002-0172-5420"},"institutions":[{"id":"https://openalex.org/I4210145184","display_name":"Honda (United States)","ror":"https://ror.org/04vdmc602","country_code":"US","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210145184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amin Tahmasbi-Sarvestani","raw_affiliation_strings":["Honda R&D Americas, Inc., Ann Arbor, MI"],"affiliations":[{"raw_affiliation_string":"Honda R&D Americas, Inc., Ann Arbor, MI","institution_ids":["https://openalex.org/I4210145184"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100618297"],"corresponding_institution_ids":["https://openalex.org/I111088046"],"apc_list":null,"apc_paid":null,"fwci":0.6653,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72020913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2220","last_page":"2225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"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":0.9998999834060669,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/optimal-control","display_name":"Optimal control","score":0.6781333684921265},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6287331581115723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.61658775806427},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.5828019976615906},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5633270740509033},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5419843792915344},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5067446827888489},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3403732180595398},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3124982714653015},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2538185715675354},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2312295138835907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1310197114944458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10977727174758911}],"concepts":[{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.6781333684921265},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6287331581115723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61658775806427},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.5828019976615906},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5633270740509033},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5419843792915344},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5067446827888489},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3403732180595398},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3124982714653015},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2538185715675354},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2312295138835907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1310197114944458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10977727174758911},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc40024.2019.9029749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc40024.2019.9029749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 58th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1027473064","https://openalex.org/W1511243153","https://openalex.org/W1560307644","https://openalex.org/W1967371255","https://openalex.org/W1986611630","https://openalex.org/W2073177254","https://openalex.org/W2084011031","https://openalex.org/W2098916117","https://openalex.org/W2107338474","https://openalex.org/W2131836176","https://openalex.org/W2199000878","https://openalex.org/W2343754557","https://openalex.org/W2504001346","https://openalex.org/W2511072509","https://openalex.org/W2517236235","https://openalex.org/W2774342010","https://openalex.org/W2795321142","https://openalex.org/W2798500587","https://openalex.org/W2912399903","https://openalex.org/W2961703895","https://openalex.org/W2963787065","https://openalex.org/W3012381155","https://openalex.org/W3101631160"],"related_works":["https://openalex.org/W4297745244","https://openalex.org/W4214628662","https://openalex.org/W2156822401","https://openalex.org/W2037518538","https://openalex.org/W3092380670","https://openalex.org/W3125847301","https://openalex.org/W4313390786","https://openalex.org/W2089393798","https://openalex.org/W2356819012","https://openalex.org/W2062829680"],"abstract_inverted_index":{"We":[0,23,42],"derive":[1],"optimal":[2,48,59],"control":[3,60],"policies":[4,49],"for":[5,73],"a":[6,18],"Connected":[7],"and":[8,28,55,89],"Automated":[9],"Vehicle":[10],"(CAV)":[11],"cooperating":[12,37],"with":[13],"neighboring":[14],"CAVs":[15],"to":[16,57,69,94],"implement":[17],"highway":[19],"lane":[20],"change":[21],"maneuver.":[22,41,79],"optimize":[24],"the":[25,31,47,52,78,83,86],"maneuver":[26],"time":[27],"subsequently":[29],"minimize":[30],"associated":[32],"energy":[33],"consumption":[34],"of":[35,46,85],"all":[36,74],"vehicles":[38,75],"in":[39,77],"this":[40],"prove":[43],"structural":[44],"properties":[45],"which":[50],"simplify":[51],"solution":[53,88],"derivations":[54],"lead":[56],"analytical":[58],"expressions.":[61],"The":[62],"solutions,":[63],"when":[64],"they":[65],"exist,":[66],"are":[67],"guaranteed":[68],"satisfy":[70],"safety":[71],"constraints":[72],"involved":[76],"Simulation":[80],"results":[81],"show":[82],"effectiveness":[84],"proposed":[87],"significant":[90],"performance":[91],"improvements":[92],"compared":[93],"maneuvers":[95],"performed":[96],"by":[97],"human-driven":[98],"vehicles.":[99]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
