{"id":"https://openalex.org/W7140230407","doi":"https://doi.org/10.1016/j.procs.2026.03.054","title":"AI-Powered Vehicle Image Recognition Model for Sustainable and Smart Urban Traffic Management","display_name":"AI-Powered Vehicle Image Recognition Model for Sustainable and Smart Urban Traffic Management","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140230407","doi":"https://doi.org/10.1016/j.procs.2026.03.054"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2026.03.054","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.03.054","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2026.03.054","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Paulo Guimar\u00e3es","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Paulo Guimar\u00e3es","raw_affiliation_strings":["ISLA Polytechnic University of Management and Technology Gaia, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISLA Polytechnic University of Management and Technology Gaia, Portugal","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Firmino Oliveira da Silva","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Firmino Oliveira da Silva","raw_affiliation_strings":["COPELABS, Lus\u00f3fona University, Portugal","Center for Organisational and Social Studies, Polytechnic of Porto, Portugal (CEOS.PP)","ISLA Polytechnic University of Management and Technology Gaia, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COPELABS, Lus\u00f3fona University, Portugal","institution_ids":[]},{"raw_affiliation_string":"Center for Organisational and Social Studies, Polytechnic of Porto, Portugal (CEOS.PP)","institution_ids":[]},{"raw_affiliation_string":"ISLA Polytechnic University of Management and Technology Gaia, Portugal","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60945921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"278","issue":null,"first_page":"808","last_page":"816"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.13670000433921814,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.13670000433921814,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.1242000013589859,"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/T11479","display_name":"Smart Cities and Technologies","score":0.11569999903440475,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/identification","display_name":"Identification (biology)","score":0.6371999979019165},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.551800012588501},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5260000228881836},{"id":"https://openalex.org/keywords/sustainability","display_name":"Sustainability","score":0.49079999327659607},{"id":"https://openalex.org/keywords/smart-city","display_name":"Smart city","score":0.46369999647140503},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4562999904155731},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.44589999318122864},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.40700000524520874},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.33629998564720154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7795000076293945},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6371999979019165},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.551800012588501},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5260000228881836},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.49079999327659607},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.46369999647140503},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4562999904155731},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.44589999318122864},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.33629998564720154},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.3334999978542328},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32280001044273376},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3151000142097473},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.31049999594688416},{"id":"https://openalex.org/C39389867","wikidata":"https://www.wikidata.org/wiki/Q380767","display_name":"Corporate governance","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.3068999946117401},{"id":"https://openalex.org/C2777636896","wikidata":"https://www.wikidata.org/wiki/Q1147899","display_name":"Road traffic safety","level":3,"score":0.3043999969959259},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2759000062942505},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2614000141620636},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.25290000438690186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2026.03.054","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.03.054","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2026.03.054","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2026.03.054","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4186333119869232,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2789600509","https://openalex.org/W2808316254","https://openalex.org/W2957480063","https://openalex.org/W3112597358","https://openalex.org/W3151685851","https://openalex.org/W3154246618","https://openalex.org/W3171671653","https://openalex.org/W3202101816","https://openalex.org/W3213917030","https://openalex.org/W3216623900","https://openalex.org/W4239362679","https://openalex.org/W4250343270","https://openalex.org/W4255141494","https://openalex.org/W4286904999","https://openalex.org/W4312407949","https://openalex.org/W4316659371","https://openalex.org/W4327500306","https://openalex.org/W4400594660","https://openalex.org/W4401604358"],"related_works":[],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"(AI)":[2],"is":[3,24],"rapidly":[4],"transforming":[5],"industries":[6],"worldwide,":[7],"offering":[8],"new":[9],"opportunities":[10],"for":[11,131,206],"urban":[12,138,170,192,210,232],"planning,":[13,152],"mobility":[14,211],"management,":[15],"and":[16,36,46,58,77,90,113,136,155,167,187],"strategic":[17,151],"governance.":[18],"Among":[19],"its":[20],"most":[21],"promising":[22],"applications":[23],"the":[25,44,119,146,161,175],"use":[26],"of":[27,48,163,177],"advanced":[28],"image":[29],"recognition":[30,86],"techniques":[31],"to":[32,92,160,231],"optimize":[33],"traffic":[34,93,125,233],"systems":[35],"foster":[37],"sustainable":[38,115],"smart":[39],"cities.":[40],"This":[41],"study":[42],"presents":[43],"design":[45],"implementation":[47],"an":[49],"AI-driven":[50],"vehicle":[51],"identification":[52,75],"model":[53,120,196],"that":[54,226],"leverages":[55],"object":[56],"detection":[57],"classification":[59],"through":[60],"Convolutional":[61],"Neural":[62],"Network":[63],"(CNN)-based":[64],"architecture.":[65],"The":[66,172,194],"model,":[67],"trained":[68],"on":[69],"a":[70,218],"diverse":[71],"dataset,":[72],"achieves":[73],"high":[74],"accuracy":[76],"adaptability":[78],"in":[79,104,123,149,180,191],"dynamic,":[80],"real-world":[81],"environments.":[82],"Evaluation":[83],"metrics":[84],"include":[85],"performance,":[87],"computational":[88],"efficiency,":[89],"responsiveness":[91],"conditions.":[94],"By":[95],"utilizing":[96],"this":[97,143],"technology,":[98],"cities":[99],"can":[100,121,215],"monitor":[101],"road":[102],"infrastructure":[103,116,153],"real-time,":[105],"identifying":[106],"maintenance":[107],"needs":[108],"such":[109],"as":[110,217],"asphalt":[111],"wear,":[112],"supporting":[114,150],"management.":[117],"Additionally,":[118],"assist":[122],"alleviating":[124],"congestion":[126],"by":[127],"suggesting":[128],"alternative":[129],"routes":[130],"vehicles,":[132],"thus":[133],"reducing":[134],"emissions":[135],"improving":[137,184],"mobility.":[139,193],"Beyond":[140],"technical":[141,200],"contributions,":[142],"research":[144],"underscores":[145],"model\u2019s":[147],"value":[148],"investment,":[154],"data-driven":[156],"policy":[157],"design,":[158],"contributing":[159],"creation":[162],"more":[164],"efficient,":[165],"sustainable,":[166],"economically":[168],"resilient":[169],"ecosystems.":[171],"findings":[173],"highlight":[174],"role":[176],"AI-powered":[178],"technologies":[179],"enabling":[181],"informed":[182],"decision-making,":[183],"public":[185],"services,":[186],"fostering":[188],"long-term":[189],"sustainability":[190],"proposed":[195],"demonstrates":[197],"not":[198],"only":[199],"feasibility":[201],"but":[202],"also":[203],"practical":[204],"relevance":[205],"integration":[207],"into":[208],"existing":[209],"infrastructures.":[212],"Its":[213],"adoption":[214],"serve":[216],"foundational":[219],"step":[220],"toward":[221],"smarter,":[222],"data-centric":[223],"governance":[224],"models":[225],"anticipate":[227],"rather":[228],"than":[229],"react":[230],"challenges.":[234]},"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2026-03-25T00:00:00"}
