{"id":"https://openalex.org/W7138849509","doi":"https://doi.org/10.31449/inf.v50i10.12392","title":"A New Energy Vehicle Autonomous Driving Decision Control Method Integrating Neural Networks and Reinforcement Learning","display_name":"A New Energy Vehicle Autonomous Driving Decision Control Method Integrating Neural Networks and Reinforcement Learning","publication_year":2026,"publication_date":"2026-03-18","ids":{"openalex":"https://openalex.org/W7138849509","doi":"https://doi.org/10.31449/inf.v50i10.12392"},"language":null,"primary_location":{"id":"doi:10.31449/inf.v50i10.12392","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i10.12392","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/12392/6628","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.informatica.si/index.php/informatica/article/download/12392/6628","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130050133","display_name":"Wei E. Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wei Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5130050133"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27935589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.6704999804496765,"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":0.6704999804496765,"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":0.24869999289512634,"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/T12095","display_name":"Vehicle emissions and performance","score":0.017899999395012856,"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":0.7903000116348267},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5764999985694885},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5547000169754028},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.45660001039505005},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.44339999556541443},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4108999967575073},{"id":"https://openalex.org/keywords/obstacle-avoidance","display_name":"Obstacle avoidance","score":0.397599995136261},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.3910999894142151},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.3797999918460846},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.3684999942779541}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7903000116348267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6248999834060669},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5764999985694885},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5547000169754028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46959999203681946},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.45660001039505005},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.44339999556541443},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4108999967575073},{"id":"https://openalex.org/C6683253","wikidata":"https://www.wikidata.org/wiki/Q7075535","display_name":"Obstacle avoidance","level":4,"score":0.397599995136261},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3797999918460846},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.3668000102043152},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.3650999963283539},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34599998593330383},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.334199994802475},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3212999999523163},{"id":"https://openalex.org/C82327864","wikidata":"https://www.wikidata.org/wiki/Q835100","display_name":"Intelligent control","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31779998540878296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.31700000166893005},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.3149000108242035},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.3093999922275543},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.27320000529289246},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.27059999108314514},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31449/inf.v50i10.12392","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i10.12392","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/12392/6628","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31449/inf.v50i10.12392","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i10.12392","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/12392/6628","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8987135887145996,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138849509.pdf","grobid_xml":"https://content.openalex.org/works/W7138849509.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Autonomous":[0],"driving":[1,23,28,59,231],"has":[2],"emerged":[3],"as":[4],"a":[5,116,126,158,225],"capable":[6],"technology":[7],"to":[8,33,42,95,111,115,166],"improve":[9],"the":[10,72,122,178,197],"energy":[11],"efficiency":[12],"and":[13,37,89,92,101,139,142,148,175,191,208],"safety":[14,160],"of":[15],"New":[16],"Energy":[17],"Vehicles":[18],"(NEVs)":[19],"by":[20],"enabling":[21],"intelligent":[22],"decisions.":[24],"Conventional":[25],"energy-efficient":[26],"autonomous":[27,58,230],"methods":[29],"are":[30],"often":[31],"limited":[32],"longitudinal":[34],"velocity":[35],"planning":[36],"fixed-route":[38],"strategies,":[39],"which":[40,135],"fail":[41],"achieve":[43],"optimal":[44],"adaptability":[45],"in":[46,146,177,204,232],"dynamic":[47,149,192],"traffic":[48,150,183],"conditions.":[49],"To":[50],"overcome":[51],"these":[52],"challenges,":[53],"this":[54],"research":[55],"proposes":[56],"an":[57],"decision":[60,144,153],"control":[61,145,154],"method":[62,155],"integrating":[63,218],"Neural":[64],"Networks":[65],"(NNs)":[66],"with":[67,221],"Reinforcement":[68],"Learning":[69],"(RL).":[70],"In":[71],"proposed":[73,198],"framework,":[74],"convolutional":[75],"neural":[76,219],"networks":[77,220],"(CNNs)":[78],"extract":[79],"spatial-temporal":[80],"features":[81,114,120],"from":[82],"multi-sensor":[83],"inputs,":[84],"including":[85,185],"camera,":[86],"Light":[87],"Detection":[88],"Ranging":[90],"(LiDAR),":[91],"radar":[93],"data,":[94],"capture":[96],"lane":[97],"geometry,":[98],"vehicle":[99],"distances,":[100],"obstacle":[102],"dynamics.":[103],"The":[104,152,171,214],"data":[105],"were":[106],"preprocessed":[107],"using":[108],"Min-Max":[109],"normalization":[110],"scale":[112],"all":[113],"consistent":[117],"range.":[118],"These":[119],"form":[121],"state":[123],"space":[124],"for":[125,228],"Capuchin":[127],"Search-driven":[128],"Scalable":[129],"Deep":[130],"Q-Network":[131],"(CapSA-SDQN)-based":[132],"RL":[133],"agent,":[134],"simultaneously":[136],"manages":[137],"lane-changing":[138],"vehicle-following":[140],"behaviors":[141],"optimizes":[143],"complex":[147],"environments.":[151,234],"further":[156],"incorporates":[157],"rule-based":[159],"checker":[161],"that":[162,196,217],"is":[163,173],"embedded":[164],"downstream":[165],"guarantee":[167],"safe":[168],"maneuver":[169],"execution.":[170],"strategy":[172],"trained":[174],"tested":[176],"simulation":[179],"platform":[180],"under":[181],"diverse":[182],"scenarios,":[184],"congested":[186],"urban":[187],"intersections,":[188],"highway":[189],"merging,":[190],"overtaking.":[193],"Results":[194],"show":[195],"CapSA-SDQN":[199],"approach":[200],"achieves":[201],"significant":[202],"improvements":[203],"average":[205],"speed":[206,210],"(46.72)":[207],"reduced":[209],"standard":[211],"deviation":[212],"(2.15).":[213],"findings":[215],"demonstrate":[216],"reinforcement":[222],"learning":[223],"provides":[224],"scalable":[226],"solution":[227],"NEV":[229],"real-world":[233]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-20T00:00:00"}