{"id":"https://openalex.org/W2744211975","doi":"https://doi.org/10.1145/3106426.3106499","title":"An IoT approach for context-aware smart traffic management using ontology","display_name":"An IoT approach for context-aware smart traffic management using ontology","publication_year":2017,"publication_date":"2017-08-10","ids":{"openalex":"https://openalex.org/W2744211975","doi":"https://doi.org/10.1145/3106426.3106499","mag":"2744211975"},"language":"en","primary_location":{"id":"doi:10.1145/3106426.3106499","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106499","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-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/A5015589507","display_name":"Deepti Goel","orcid":"https://orcid.org/0000-0002-2595-8819"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Deepti Goel","raw_affiliation_strings":["IIT Delhi"],"affiliations":[{"raw_affiliation_string":"IIT Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086242686","display_name":"Santanu Chaudhury","orcid":"https://orcid.org/0000-0002-5488-7773"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santanu Chaudhury","raw_affiliation_strings":["IIT Delhi"],"affiliations":[{"raw_affiliation_string":"IIT Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102939795","display_name":"Hiranmay Ghosh","orcid":"https://orcid.org/0000-0003-1945-5745"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiranmay Ghosh","raw_affiliation_strings":["TCS Innovation Labs, Mysuru, Karnataka"],"affiliations":[{"raw_affiliation_string":"TCS Innovation Labs, Mysuru, Karnataka","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015589507"],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":2.8422,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93001842,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.982699990272522,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9782999753952026,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8058722019195557},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7754553556442261},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6632155776023865},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5767391920089722},{"id":"https://openalex.org/keywords/smart-city","display_name":"Smart city","score":0.4759395122528076},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.46520668268203735},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4626854658126831},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.43331557512283325},{"id":"https://openalex.org/keywords/context-awareness","display_name":"Context awareness","score":0.41982099413871765},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.41434866189956665},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.34323662519454956},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.3112215995788574},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23686015605926514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20436623692512512},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.18148621916770935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8058722019195557},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7754553556442261},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6632155776023865},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5767391920089722},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.4759395122528076},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.46520668268203735},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4626854658126831},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.43331557512283325},{"id":"https://openalex.org/C2781368080","wikidata":"https://www.wikidata.org/wiki/Q501688","display_name":"Context awareness","level":3,"score":0.41982099413871765},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.41434866189956665},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34323662519454956},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.3112215995788574},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23686015605926514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20436623692512512},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.18148621916770935},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3106426.3106499","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3106426.3106499","pdf_url":null,"source":{"id":"https://openalex.org/S4306524158","display_name":"Proceedings of the International Conference on Web Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Web Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W66822575","https://openalex.org/W585709381","https://openalex.org/W1986672281","https://openalex.org/W2028201545","https://openalex.org/W2058401212","https://openalex.org/W2100614348","https://openalex.org/W2123261836","https://openalex.org/W2128094052","https://openalex.org/W2158394118","https://openalex.org/W2161227658","https://openalex.org/W2165609373","https://openalex.org/W2179352600","https://openalex.org/W2247303396","https://openalex.org/W2532223440","https://openalex.org/W3098722327"],"related_works":["https://openalex.org/W2005409769","https://openalex.org/W4390341805","https://openalex.org/W2044422050","https://openalex.org/W3069032","https://openalex.org/W2982084411","https://openalex.org/W4210448965","https://openalex.org/W4390097595","https://openalex.org/W4386289889","https://openalex.org/W2973192971","https://openalex.org/W4360619413"],"abstract_inverted_index":{"This":[0,47],"paper":[1],"exhibits":[2],"a":[3,159],"novel":[4],"context-aware":[5],"service":[6],"framework":[7,201],"for":[8,137],"IoT":[9,75,82,140,194],"based":[10],"Smart":[11,85],"Traffic":[12,86],"Management":[13],"using":[14,213],"ontology":[15,116,144],"to":[16,38,42,55,59,89,117,152,163,176,205,226,243,252,284],"regulate":[17],"smooth":[18],"traffic":[19,27,50,123,131,161,200,206,210,228],"flow":[20],"in":[21,68,84,100,146,268],"smart":[22,199],"cities":[23],"by":[24,72,239],"analyzing":[25],"real-time":[26,245],"environment.":[28],"The":[29,77,142],"proposed":[30,139,198],"approach":[31,238],"makes":[32],"smarter":[33],"use":[34,73,235],"of":[35,44,65,74,79,103,122,130,158,191,220,236],"transport":[36,45],"networks":[37,174],"achieve":[39],"objectives":[40],"related":[41],"performance":[43],"system.":[46,195],"requires":[48],"efficient":[49],"planning":[51,254],"measures":[52],"which":[53,97,133,187,224,266],"relate":[54],"the":[56,61,66,91,101,167,189,257,271,285],"actions":[57],"designed":[58],"adjust":[60],"demand":[62],"and":[63,70,81,94,125,156,181,216],"capacity":[64],"network":[67],"time":[69],"space":[71],"technologies.":[76],"adoption":[78],"sensors":[80],"devices":[83],"System":[87],"helps":[88,151,225],"capture":[90],"user's":[92],"preferences":[93],"context":[95,185],"information":[96,132,203],"can":[98,277],"be":[99,278],"form":[102],"travel":[104],"time,":[105],"weather":[106],"conditions":[107,124],"or":[108,282],"real-life":[109],"driving":[110],"patterns.":[111],"We":[112,232],"have":[113,233],"employed":[114],"multimedia":[115,143],"derive":[118],"higher":[119],"level":[120],"descriptions":[121],"vehicles":[126],"from":[127],"perceptual":[128],"observation":[129],"provides":[134],"important":[135],"grounds":[136],"our":[138,197,237],"framework.":[141],"encoded":[145],"Multimedia":[147],"Web":[148],"Ontology":[149],"Language(MOWL)":[150],"define":[153],"classes,":[154],"properties,":[155],"structure":[157],"possible":[160],"environment":[162],"provide":[164],"insights":[165],"across":[166],"transportation":[168],"network.":[169],"MOWL":[170],"supports":[171],"Dynamic":[172],"Bayesian":[173],"(DBN)":[175],"deal":[177],"with":[178,184,270],"time-series":[179],"data":[180],"uncertainties":[182],"linked":[183],"observations":[186],"fits":[188],"definition":[190],"an":[192],"intelligent":[193],"Thus,":[196],"aggregates":[202],"corresponding":[204],"domain":[207],"such":[208],"as":[209],"videos":[211],"captured":[212],"CCTV":[214],"cameras":[215],"allows":[217],"automatic":[218],"prediction":[219],"dynamically":[221],"changing":[222],"situations":[223],"make":[227],"authorities":[229],"more":[230],"responsive.":[231],"illustrated":[234],"utilizing":[240],"contextual":[241],"information,":[242],"assess":[244],"congestion":[246,258,263],"situation":[247,259],"on":[248],"roads":[249],"thus":[250],"allowing":[251],"visualize":[253],"services.":[255],"Once":[256],"is":[260],"predicted,":[261],"alternate":[262],"free":[264],"routes":[265],"are":[267,274],"accordance":[269],"coveted":[272],"criteria":[273],"suggested":[275],"that":[276],"propagated":[279],"through":[280],"text-messages":[281],"e-mails":[283],"users.":[286]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
