{"id":"https://openalex.org/W2904907999","doi":"https://doi.org/10.1109/itsc.2018.8569977","title":"Deep Reinforcement Learning for Predictive Longitudinal Control of Automated Vehicles","display_name":"Deep Reinforcement Learning for Predictive Longitudinal Control of Automated Vehicles","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2904907999","doi":"https://doi.org/10.1109/itsc.2018.8569977","mag":"2904907999"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2018.8569977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://mediatum.ub.tum.de/1486825","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061750987","display_name":"Martin Buechel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134795","display_name":"Fortiss","ror":"https://ror.org/042x1tp92","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210134795"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Buechel","raw_affiliation_strings":["Fortiss GmbH, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fortiss GmbH, Munich, Germany","institution_ids":["https://openalex.org/I4210134795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063781430","display_name":"Alois Knoll","orcid":"https://orcid.org/0000-0003-4840-076X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alois Knoll","raw_affiliation_strings":["Department of Robotics, Artificial Intelligence and Embedded Systems, Technical University of Munich (TUM), Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Robotics, Artificial Intelligence and Embedded Systems, Technical University of Munich (TUM), Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.8257,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.9913882,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2391","last_page":"2397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9983000159263611,"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":0.9983000159263611,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.9218235611915588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7294196486473083},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.6860141754150391},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.6441164612770081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5509799122810364},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4991793632507324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4199095070362091},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4160531759262085},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4114704132080078},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4085862338542938},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.36302390694618225},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21563273668289185}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.9218235611915588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7294196486473083},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6860141754150391},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.6441164612770081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5509799122810364},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4991793632507324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4199095070362091},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4160531759262085},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4114704132080078},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4085862338542938},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.36302390694618225},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21563273668289185},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itsc.2018.8569977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1486825","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1486825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"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":"","raw_type":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:mediatum.ub.tum.de:node/1486825","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1486825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"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":"","raw_type":"ConferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310476","display_name":"Bundesministerium f\u00fcr Verkehr und Digitale Infrastruktur","ror":"https://ror.org/00e3ns026"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W58266590","https://openalex.org/W1589190705","https://openalex.org/W1757796397","https://openalex.org/W1771410628","https://openalex.org/W1836465849","https://openalex.org/W2006963362","https://openalex.org/W2023465281","https://openalex.org/W2029490915","https://openalex.org/W2030281999","https://openalex.org/W2073265799","https://openalex.org/W2096018174","https://openalex.org/W2098450454","https://openalex.org/W2119717200","https://openalex.org/W2121863487","https://openalex.org/W2129660761","https://openalex.org/W2151708438","https://openalex.org/W2159571856","https://openalex.org/W2165150801","https://openalex.org/W2173248099","https://openalex.org/W2251761828","https://openalex.org/W2257979135","https://openalex.org/W2271358270","https://openalex.org/W2342662072","https://openalex.org/W2342840547","https://openalex.org/W2529079914","https://openalex.org/W2534435189","https://openalex.org/W2535412924","https://openalex.org/W2546260600","https://openalex.org/W2583993537","https://openalex.org/W2606447145","https://openalex.org/W2607328403","https://openalex.org/W2613127342","https://openalex.org/W2768635760","https://openalex.org/W2772709170","https://openalex.org/W2780162989","https://openalex.org/W2949117887","https://openalex.org/W2962831671","https://openalex.org/W2963864421","https://openalex.org/W2969231205","https://openalex.org/W3100944043","https://openalex.org/W4238586295","https://openalex.org/W4251541612","https://openalex.org/W4298857966","https://openalex.org/W4302570325","https://openalex.org/W6638018090","https://openalex.org/W6652071794","https://openalex.org/W6684205842","https://openalex.org/W6736937985","https://openalex.org/W6747376533","https://openalex.org/W6766762872"],"related_works":["https://openalex.org/W1990079087","https://openalex.org/W2060165215","https://openalex.org/W2101188133","https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W3202234113","https://openalex.org/W4380318855","https://openalex.org/W4248731570","https://openalex.org/W2138720691","https://openalex.org/W2031695474"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,37,42,59,80,86,98,106],"predictive":[4],"controller":[5,74],"for":[6],"longitudinal":[7],"motion":[8],"of":[9,32,50,72,79,105],"automated":[10],"vehicles":[11],"based":[12],"on":[13,45],"Deep":[14],"Reinforcement":[15,93],"Learning.":[16],"It":[17],"uses":[18],"advance":[19,52],"information":[20,34],"about":[21],"future":[22],"speed":[23],"reference":[24],"values":[25],"and":[26],"road":[27],"grade":[28],"changes.":[29],"The":[30,70],"incorporation":[31],"this":[33],"leads":[35],"to":[36,101],"new":[38],"design":[39,60],"parameter":[40],"with":[41],"high":[43],"influence":[44],"learning":[46,65],"speed:":[47],"the":[48,102],"selection":[49],"proper":[51],"knowledge":[53],"signals":[54],"during":[55],"training.":[56],"We":[57,89],"propose":[58],"method":[61],"which":[62],"shows":[63],"improved":[64],"performance":[66,71],"in":[67,85],"our":[68,73,92],"experiments.":[69],"is":[75],"explored":[76],"through":[77],"simulation":[78],"real":[81],"world":[82],"driving":[83],"scenario":[84],"parking":[87],"garage.":[88],"demonstrate":[90],"that":[91],"Learning":[94],"agent":[95],"can":[96],"learn":[97],"behavior":[99],"close":[100],"optimal":[103],"solution":[104],"Nonlinear":[107],"Model":[108],"Predictive":[109],"Controller,":[110],"but":[111],"at":[112],"reduced":[113],"computational":[114],"costs.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}