{"id":"https://openalex.org/W2021291561","doi":"https://doi.org/10.1109/cybconf.2013.6617461","title":"Dynamic adaptation of a vehicle's cruising speed with recurrent neural networks for enhancing fuel economy","display_name":"Dynamic adaptation of a vehicle's cruising speed with recurrent neural networks for enhancing fuel economy","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2021291561","doi":"https://doi.org/10.1109/cybconf.2013.6617461","mag":"2021291561"},"language":"en","primary_location":{"id":"doi:10.1109/cybconf.2013.6617461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2013.6617461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Cybernetics (CYBCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080005289","display_name":"Mahmoud Abou-Nasr","orcid":null},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. A. Abou-Nasr","raw_affiliation_strings":["Intelligent Control Research, Ford Motor Company, Dearborn, MI, USA","Intell. Control Res., Ford Motor Co., Dearborn, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Control Research, Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]},{"raw_affiliation_string":"Intell. Control Res., Ford Motor Co., Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015550681","display_name":"Dimitar Filev","orcid":"https://orcid.org/0000-0001-7127-6782"},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. P. Filev","raw_affiliation_strings":["Intelligent Control Research, Ford Motor Company, Dearborn, MI, USA","Intell. Control Res., Ford Motor Co., Dearborn, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Control Research, Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]},{"raw_affiliation_string":"Intell. Control Res., Ford Motor Co., Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1292974536"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9980000257492065,"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/T10524","display_name":"Traffic control and management","score":0.996999979019165,"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":0.9821000099182129,"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/cruise","display_name":"Cruise","score":0.8029822707176208},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.7555270791053772},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.7375876903533936},{"id":"https://openalex.org/keywords/cruise-control","display_name":"Cruise control","score":0.6766791343688965},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.5312775373458862},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.46425941586494446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4414961636066437},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4283069670200348},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4135909676551819},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.40308672189712524},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3854001760482788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12219458818435669},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10972243547439575},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.10406464338302612}],"concepts":[{"id":"https://openalex.org/C2778821358","wikidata":"https://www.wikidata.org/wiki/Q2063640","display_name":"Cruise","level":2,"score":0.8029822707176208},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.7555270791053772},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.7375876903533936},{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.6766791343688965},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.5312775373458862},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.46425941586494446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4414961636066437},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4283069670200348},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4135909676551819},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.40308672189712524},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3854001760482788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12219458818435669},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10972243547439575},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.10406464338302612},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cybconf.2013.6617461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cybconf.2013.6617461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Cybernetics (CYBCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1907796993","https://openalex.org/W2014284151","https://openalex.org/W2016968940","https://openalex.org/W2056006612","https://openalex.org/W2066346101","https://openalex.org/W2120472140","https://openalex.org/W2121698472","https://openalex.org/W2136064843","https://openalex.org/W2136465235","https://openalex.org/W2140254105","https://openalex.org/W2155513194","https://openalex.org/W2167322332","https://openalex.org/W3213472335","https://openalex.org/W6654501524","https://openalex.org/W6804409665"],"related_works":["https://openalex.org/W3016854740","https://openalex.org/W2569031414","https://openalex.org/W2684794767","https://openalex.org/W586940735","https://openalex.org/W2304505011","https://openalex.org/W2014284151","https://openalex.org/W1947511779","https://openalex.org/W4390457665","https://openalex.org/W2260259195","https://openalex.org/W304540861"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,88],"architecture":[4,83],"for":[5],"optimally":[6],"modulating":[7],"the":[8,20,29,35,39,45,55,59,64,72,75,78,124],"cruise":[9,66],"speed":[10],"around":[11],"its":[12],"set":[13,70],"point.":[14],"Our":[15,100],"objective":[16],"is":[17,52],"to":[18,57,112],"minimize":[19],"overall":[21,30,49,115],"fuel":[22,116],"consumption":[23],"over":[24],"a":[25],"trip":[26,31,50,60],"without":[27],"impacting":[28],"time,":[32],"by":[33,71,87],"exploiting":[34,123],"vehicle":[36,90],"dynamics":[37],"and":[38,94,105],"terrain,":[40],"specifically":[41],"in":[42,97],"this":[43,82],"paper,":[44],"road":[46,125],"grades.":[47,126],"The":[48],"time":[51,56],"defined":[53],"as":[54],"complete":[58],"while":[61],"driving":[62],"at":[63,74],"constant":[65],"speed,":[67],"which":[68,119],"was":[69,102],"driver":[73],"beginning":[76],"of":[77,114,118],"trip.":[79],"We":[80],"test":[81],"with":[84],"data":[85],"acquired":[86],"instrumented":[89],"driven":[91],"on":[92],"city":[93],"highway":[95],"roads":[96],"Southeast":[98],"Michigan.":[99],"testing":[101],"very":[103],"promising":[104],"showed":[106],"that":[107],"we":[108],"can":[109],"achieve":[110],"up":[111],"11%":[113],"economy":[117],"10.8%":[120],"are":[121],"from":[122]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
