{"id":"https://openalex.org/W4408580389","doi":"https://doi.org/10.3389/frai.2025.1565287","title":"Accurate V2X traffic prediction with deep learning architectures","display_name":"Accurate V2X traffic prediction with deep learning architectures","publication_year":2025,"publication_date":"2025-03-18","ids":{"openalex":"https://openalex.org/W4408580389","doi":"https://doi.org/10.3389/frai.2025.1565287","pmid":"https://pubmed.ncbi.nlm.nih.gov/40176965"},"language":"en","primary_location":{"id":"doi:10.3389/frai.2025.1565287","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2025.1565287","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1565287/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1565287/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110818749","display_name":"Ali R. Abdellah","orcid":null},"institutions":[{"id":"https://openalex.org/I184834183","display_name":"Al-Azhar University","ror":"https://ror.org/05fnp1145","country_code":"EG","type":"education","lineage":["https://openalex.org/I184834183"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Ali R. Abdellah","raw_affiliation_strings":["Electrical Engineering Department, Faculty of Engineering, Al-Azhar University, Qena, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Faculty of Engineering, Al-Azhar University, Qena, Egypt","institution_ids":["https://openalex.org/I184834183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010469343","display_name":"Ahmed Abdelmoaty","orcid":"https://orcid.org/0000-0003-2407-252X"},"institutions":[{"id":"https://openalex.org/I184834183","display_name":"Al-Azhar University","ror":"https://ror.org/05fnp1145","country_code":"EG","type":"education","lineage":["https://openalex.org/I184834183"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ahmed Abdelmoaty","raw_affiliation_strings":["Electrical Engineering Department, Faculty of Engineering, Al-Azhar University, Qena, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Faculty of Engineering, Al-Azhar University, Qena, Egypt","institution_ids":["https://openalex.org/I184834183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047571247","display_name":"Abdelhamied A. Ateya","orcid":"https://orcid.org/0000-0002-1610-9612"},"institutions":[{"id":"https://openalex.org/I142024983","display_name":"Prince Sultan University","ror":"https://ror.org/053mqrf26","country_code":"SA","type":"education","lineage":["https://openalex.org/I142024983"]},{"id":"https://openalex.org/I192398990","display_name":"Zagazig University","ror":"https://ror.org/053g6we49","country_code":"EG","type":"education","lineage":["https://openalex.org/I192398990"]}],"countries":["EG","SA"],"is_corresponding":false,"raw_author_name":"Abdelhamied A. Ateya","raw_affiliation_strings":["Department of Electronics and Communications Engineering, Zagazig University, Zagazig, Egypt","EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communications Engineering, Zagazig University, Zagazig, Egypt","institution_ids":["https://openalex.org/I192398990"]},{"raw_affiliation_string":"EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I142024983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051434121","display_name":"Ahmed A. Abd El\u2010Latif","orcid":"https://orcid.org/0000-0002-5068-2033"},"institutions":[{"id":"https://openalex.org/I142024983","display_name":"Prince Sultan University","ror":"https://ror.org/053mqrf26","country_code":"SA","type":"education","lineage":["https://openalex.org/I142024983"]},{"id":"https://openalex.org/I63601056","display_name":"Menoufia University","ror":"https://ror.org/05sjrb944","country_code":"EG","type":"education","lineage":["https://openalex.org/I63601056"]}],"countries":["EG","SA"],"is_corresponding":false,"raw_author_name":"Ahmed A. Abd El-Latif","raw_affiliation_strings":["Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, Shebin El-Koom, Egypt","EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, Shebin El-Koom, Egypt","institution_ids":["https://openalex.org/I63601056"]},{"raw_affiliation_string":"EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I142024983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024357714","display_name":"Ammar Muthanna","orcid":"https://orcid.org/0000-0003-0213-8145"},"institutions":[{"id":"https://openalex.org/I126527374","display_name":"Peoples' Friendship University of Russia","ror":"https://ror.org/02dn9h927","country_code":"RU","type":"education","lineage":["https://openalex.org/I126527374"]},{"id":"https://openalex.org/I37355250","display_name":"Saint-Petersburg State University of Telecommunications","ror":"https://ror.org/00pcyc255","country_code":"RU","type":"education","lineage":["https://openalex.org/I37355250"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ammar Muthanna","raw_affiliation_strings":["Applied Probability and Informatics, 'Peoples' Friendship University of Russia (RUDN University), Moscow, Russia","The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St. Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Probability and Informatics, 'Peoples' Friendship University of Russia (RUDN University), Moscow, Russia","institution_ids":["https://openalex.org/I126527374"]},{"raw_affiliation_string":"The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St. Petersburg, Russia","institution_ids":["https://openalex.org/I37355250"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018187110","display_name":"Andrey Koucheryavy","orcid":"https://orcid.org/0000-0003-4479-2479"},"institutions":[{"id":"https://openalex.org/I37355250","display_name":"Saint-Petersburg State University of Telecommunications","ror":"https://ror.org/00pcyc255","country_code":"RU","type":"education","lineage":["https://openalex.org/I37355250"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Andrey Koucheryavy","raw_affiliation_strings":["The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St. Petersburg, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St. Petersburg, Russia","institution_ids":["https://openalex.org/I37355250"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5110818749"],"corresponding_institution_ids":["https://openalex.org/I184834183"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":3.9958,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92658903,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"1565287","last_page":"1565287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9976000189781189,"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"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7577915787696838},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6782422661781311},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6619781255722046},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.49715927243232727},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.49447011947631836},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4788122773170471},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.47553515434265137},{"id":"https://openalex.org/keywords/traffic-speed","display_name":"Traffic speed","score":0.4414183497428894},{"id":"https://openalex.org/keywords/resource-consumption","display_name":"Resource consumption","score":0.43770378828048706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43197375535964966},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.4111681282520294},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39735937118530273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35624563694000244},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.329135000705719},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2882528305053711},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2793022394180298},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1593843400478363},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.113514244556427},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.10214915871620178}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7577915787696838},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6782422661781311},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6619781255722046},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.49715927243232727},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.49447011947631836},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4788122773170471},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.47553515434265137},{"id":"https://openalex.org/C2993660032","wikidata":"https://www.wikidata.org/wiki/Q746984","display_name":"Traffic speed","level":2,"score":0.4414183497428894},{"id":"https://openalex.org/C2777480716","wikidata":"https://www.wikidata.org/wiki/Q23582796","display_name":"Resource consumption","level":2,"score":0.43770378828048706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43197375535964966},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.4111681282520294},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39735937118530273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35624563694000244},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.329135000705719},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2882528305053711},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2793022394180298},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1593843400478363},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.113514244556427},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.10214915871620178},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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":4,"locations":[{"id":"doi:10.3389/frai.2025.1565287","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2025.1565287","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1565287/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},{"id":"pmid:40176965","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40176965","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in artificial intelligence","raw_type":null},{"id":"pmh:oai:doaj.org/article:797dcb7f928e43baa4511eb68f42c89d","is_oa":true,"landing_page_url":"https://doaj.org/article/797dcb7f928e43baa4511eb68f42c89d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Artificial Intelligence, Vol 8 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11962783","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11962783","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Artif Intell","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/frai.2025.1565287","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2025.1565287","pdf_url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1565287/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408580389.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W3171419621","https://openalex.org/W3184856471","https://openalex.org/W3202316976","https://openalex.org/W3215886655","https://openalex.org/W3217304042","https://openalex.org/W4206472250","https://openalex.org/W4210482483","https://openalex.org/W4225716729","https://openalex.org/W4226364811","https://openalex.org/W4281491395","https://openalex.org/W4283455846","https://openalex.org/W4285138331","https://openalex.org/W4289822233","https://openalex.org/W4310490169","https://openalex.org/W4311002436","https://openalex.org/W4313132966","https://openalex.org/W4313197776","https://openalex.org/W4313595726","https://openalex.org/W4318486461","https://openalex.org/W4319878653","https://openalex.org/W4327522621","https://openalex.org/W4365143812","https://openalex.org/W4365149444","https://openalex.org/W4367163072","https://openalex.org/W4379537083","https://openalex.org/W4384036417","https://openalex.org/W4386263530","https://openalex.org/W4390663578","https://openalex.org/W4393198079"],"related_works":["https://openalex.org/W2022544890","https://openalex.org/W2394097730","https://openalex.org/W2043523297","https://openalex.org/W2475378634","https://openalex.org/W2113405914","https://openalex.org/W4312353617","https://openalex.org/W2260963831","https://openalex.org/W2145487074","https://openalex.org/W636737094","https://openalex.org/W1274585904"],"abstract_inverted_index":{"Vehicle-to-Everything":[0],"(V2X)":[1],"communication":[2],"promises":[3],"to":[4],"revolutionize":[5],"road":[6,97],"safety":[7,94],"and":[8,15,49,61,92,104],"efficiency.":[9],"However,":[10],"challenges":[11,26],"in":[12,38,76],"data":[13],"sharing":[14],"network":[16,90],"reliability":[17],"impede":[18],"its":[19],"full":[20],"realization.":[21],"This":[22,80],"paper":[23],"addresses":[24],"these":[25],"by":[27],"proposing":[28],"a":[29,105],"novel":[30],"Deep":[31],"Learning":[32],"(DL)":[33],"approach":[34],"for":[35,95],"traffic":[36,78],"prediction":[37,82],"V2X":[39],"environments.":[40],"We":[41],"employ":[42],"Bidirectional":[43],"Long":[44],"Short-Term":[45],"Memory":[46],"(BiLSTM)":[47],"networks":[48],"compare":[50],"their":[51],"performance":[52],"against":[53],"other":[54],"prominent":[55],"DL":[56],"architectures,":[57],"including":[58],"unidirectional":[59],"LSTM":[60],"Gated":[62],"Recurrent":[63],"Unit":[64],"(GRU).":[65],"Our":[66],"findings":[67],"demonstrate":[68],"that":[69],"the":[70],"BiLSTM":[71],"model":[72],"exhibits":[73],"superior":[74],"accuracy":[75],"predicting":[77],"patterns.":[79],"enhanced":[81,93],"capability":[83],"enables":[84],"more":[85,106],"efficient":[86],"resource":[87],"allocation,":[88],"improved":[89],"performance,":[91],"all":[96],"users,":[98],"reducing":[99],"fuel":[100],"consumption,":[101],"decreased":[102],"emissions,":[103],"sustainable":[107],"transportation":[108],"system.":[109]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
