{"id":"https://openalex.org/W4411471994","doi":"https://doi.org/10.1109/jiot.2025.3581778","title":"IoT-Enabled Traffic Management System Using Vehicle Count Prediction in a Semantic Communication Framework","display_name":"IoT-Enabled Traffic Management System Using Vehicle Count Prediction in a Semantic Communication Framework","publication_year":2025,"publication_date":"2025-06-20","ids":{"openalex":"https://openalex.org/W4411471994","doi":"https://doi.org/10.1109/jiot.2025.3581778"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3581778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3581778","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"},"type":"article","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/A5101998226","display_name":"Sachin Kadam","orcid":"https://orcid.org/0000-0001-7085-3365"},"institutions":[{"id":"https://openalex.org/I152869788","display_name":"Motilal Nehru National Institute of Technology","ror":"https://ror.org/04dp7tp96","country_code":"IN","type":"education","lineage":["https://openalex.org/I152869788"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sachin Kadam","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology, Prayagraj, India","Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology, Prayagraj, UP, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology, Prayagraj, India","institution_ids":["https://openalex.org/I152869788"]},{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Motilal Nehru National Institute of Technology, Prayagraj, UP, India","institution_ids":["https://openalex.org/I152869788"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022649488","display_name":"Dong In Kim","orcid":"https://orcid.org/0000-0001-7711-8072"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong In Kim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-7711-8072","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Sungkyunkwan University (SKKU), Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7368,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70822042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":"17","first_page":"36258","last_page":"36273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9427000284194946,"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":0.9427000284194946,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8127143383026123},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5153247714042664}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8127143383026123},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5153247714042664}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3581778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3581778","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5708442277","display_name":null,"funder_award_id":"IITP-2020-0-01821","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1203557841","https://openalex.org/W1575904939","https://openalex.org/W1975163393","https://openalex.org/W2120429293","https://openalex.org/W2194775991","https://openalex.org/W2341935269","https://openalex.org/W2344243544","https://openalex.org/W2566053671","https://openalex.org/W2750840446","https://openalex.org/W2897578281","https://openalex.org/W2906329161","https://openalex.org/W2915977493","https://openalex.org/W2942228371","https://openalex.org/W2953583753","https://openalex.org/W2962854645","https://openalex.org/W2964209782","https://openalex.org/W2993383518","https://openalex.org/W3036851434","https://openalex.org/W3083917758","https://openalex.org/W3085253484","https://openalex.org/W3100386317","https://openalex.org/W3127098469","https://openalex.org/W3134180814","https://openalex.org/W3156872594","https://openalex.org/W3158278422","https://openalex.org/W3165390189","https://openalex.org/W3166791908","https://openalex.org/W3175557814","https://openalex.org/W3182464672","https://openalex.org/W3202895480","https://openalex.org/W3215119669","https://openalex.org/W3215493153","https://openalex.org/W4200099066","https://openalex.org/W4205319213","https://openalex.org/W4205453809","https://openalex.org/W4210758220","https://openalex.org/W4210907247","https://openalex.org/W4213188933","https://openalex.org/W4224211827","https://openalex.org/W4282943311","https://openalex.org/W4285270282","https://openalex.org/W4285285918","https://openalex.org/W4292722123","https://openalex.org/W4309287184","https://openalex.org/W4310011591","https://openalex.org/W4312051474","https://openalex.org/W4312826597","https://openalex.org/W4313350178","https://openalex.org/W4313350185","https://openalex.org/W4313449066","https://openalex.org/W4317039775","https://openalex.org/W4321488711","https://openalex.org/W4365420412","https://openalex.org/W4381661790","https://openalex.org/W4385245566","https://openalex.org/W4386321499","https://openalex.org/W4387010474","https://openalex.org/W4387716705","https://openalex.org/W4387883706","https://openalex.org/W4388720088","https://openalex.org/W4390594721","https://openalex.org/W4390769907","https://openalex.org/W4391897821","https://openalex.org/W4392347726","https://openalex.org/W4392796643","https://openalex.org/W4394790048","https://openalex.org/W4394862998","https://openalex.org/W4400276405","https://openalex.org/W4405357440","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6782889966","https://openalex.org/W6783507135","https://openalex.org/W6810966997","https://openalex.org/W6811124000","https://openalex.org/W7002173608"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"An":[0],"effective":[1,241],"traffic":[2,54,60,142,222,242],"management":[3,143,243],"system":[4],"is":[5,17,109,219],"crucial":[6],"to":[7,51,99,111,133,186,239],"smart":[8,32,245],"city":[9],"growth.":[10],"Consequently,":[11],"the":[12,52,112,117,120,124,148,177,195],"significance":[13],"of":[14,119,131,150,197,203],"IoT":[15,20,35,97,121,162],"devices":[16],"increasing.":[18],"Numerous":[19],"devices,":[21,36],"including":[22],"cameras,":[23],"are":[24],"commonly":[25],"positioned":[26],"along":[27],"major":[28],"roads":[29,139],"in":[30,201,221,244],"a":[31,67,76,82,92,228],"city.":[33],"These":[34],"embedded":[37],"with":[38,81],"computing":[39],"and":[40,47,140,168,208,233],"transmitting":[41],"capabilities,":[42],"collect":[43],"data":[44,108],"from":[45,103],"cameras":[46],"then":[48],"relay":[49],"it":[50],"central":[53],"controller":[55],"(CTC)":[56],"responsible":[57],"for":[58,231],"managing":[59],"flow.":[61],"In":[62],"our":[63,198,224],"study,":[64],"we":[65,153,174],"introduce":[66],"novel":[68],"framework":[69,226],"termed":[70],"semantic":[71,93,126,169],"communication":[72],"(SemCom),":[73],"which":[74],"integrates":[75],"Convolutional":[77],"Neural":[78],"Network":[79],"(CNN)":[80],"Long":[83],"Short-Term":[84],"Memory":[85],"(LSTM)":[86],"network.":[87],"The":[88],"SemCom":[89,178,225],"model":[90,179,200],"employs":[91],"encoder":[94],"within":[95],"each":[96],"device":[98,163],"extract":[100],"pertinent":[101],"information":[102],"raw":[104],"images.":[105],"This":[106],"encoded":[107],"transmitted":[110],"CTC":[113],"as":[114],"symbols":[115,132],"by":[116,183],"transmitter":[118],"device.":[122],"Subsequently,":[123],"CTC\u2019s":[125],"decoder":[127],"utilizes":[128],"this":[129],"sequence":[130],"predict":[134],"vehicle":[135,159,216,235],"counts":[136],"on":[137],"respective":[138],"devise":[141],"strategies":[144],"accordingly.":[145],"To":[146],"enhance":[147],"quality":[149],"experience":[151],"(QoE),":[152],"formulate":[154],"an":[155],"optimization":[156],"problem":[157],"considering":[158],"user":[160],"safety,":[161],"transmission":[164],"power,":[165],"prediction":[166,218],"accuracy,":[167],"entropy.":[170],"Through":[171],"numerical":[172],"analysis,":[173],"demonstrate":[175],"that":[176],"significantly":[180],"reduces":[181],"overhead":[182],"54.42%":[184],"compared":[185],"conventional":[187],"source":[188],"encoder/decoder":[189],"models.":[190],"Moreover,":[191],"simulation":[192],"results":[193],"showcase":[194],"superiority":[196],"proposed":[199],"terms":[202],"mean":[204],"absolute":[205],"error":[206],"(MAE)":[207],"QoE":[209],"metrics":[210],"over":[211],"existing":[212],"state-of-the-art":[213],"approaches.":[214],"Since":[215],"count":[217,236],"pivotal":[220],"management,":[223],"offers":[227],"promising":[229],"avenue":[230],"efficient":[232],"accurate":[234],"prediction,":[237],"contributing":[238],"more":[240],"cities.":[246]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}