{"id":"https://openalex.org/W2766165671","doi":"https://doi.org/10.1145/3132211.3134461","title":"Real-time traffic estimation at vehicular edge nodes","display_name":"Real-time traffic estimation at vehicular edge nodes","publication_year":2017,"publication_date":"2017-10-12","ids":{"openalex":"https://openalex.org/W2766165671","doi":"https://doi.org/10.1145/3132211.3134461","mag":"2766165671"},"language":"en","primary_location":{"id":"doi:10.1145/3132211.3134461","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132211.3134461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second ACM/IEEE Symposium on Edge Computing","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/A5061071038","display_name":"Gorkem Kar","orcid":"https://orcid.org/0000-0003-0367-4409"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Gorkem Kar","raw_affiliation_strings":["Rutgers University"],"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102706524","display_name":"Shubham Jain","orcid":"https://orcid.org/0000-0002-4864-6420"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Shubham Jain","raw_affiliation_strings":["Rutgers University"],"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078160983","display_name":"Marco Gruteser","orcid":"https://orcid.org/0000-0002-7424-4951"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marco Gruteser","raw_affiliation_strings":["Rutgers University"],"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055017931","display_name":"Fan Bai","orcid":"https://orcid.org/0000-0001-5125-5394"},"institutions":[{"id":"https://openalex.org/I4210135317","display_name":"General Motors (Poland)","ror":"https://ror.org/03n3nz506","country_code":"PL","type":"company","lineage":["https://openalex.org/I118136607","https://openalex.org/I4210135317"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Fan Bai","raw_affiliation_strings":["General Motors Research"],"affiliations":[{"raw_affiliation_string":"General Motors Research","institution_ids":["https://openalex.org/I4210135317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042326103","display_name":"Ramesh Govindan","orcid":"https://orcid.org/0000-0001-8311-8853"},"institutions":[{"id":"https://openalex.org/I2800817003","display_name":"Southern California University for Professional Studies","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]},{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramesh Govindan","raw_affiliation_strings":["University of Southern California"],"affiliations":[{"raw_affiliation_string":"University of Southern California","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061071038"],"corresponding_institution_ids":["https://openalex.org/I4210096112"],"apc_list":null,"apc_paid":null,"fwci":1.2743,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.88126246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998000264167786,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.743777334690094},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6484030485153198},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.585685133934021},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.5734703540802002},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5711135864257812},{"id":"https://openalex.org/keywords/traffic-count","display_name":"Traffic count","score":0.4451097548007965},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.30869758129119873},{"id":"https://openalex.org/keywords/traffic-volume","display_name":"Traffic volume","score":0.2505580484867096},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.23585903644561768},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.19072964787483215},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11915135383605957},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1169937252998352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743777334690094},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6484030485153198},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.585685133934021},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.5734703540802002},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5711135864257812},{"id":"https://openalex.org/C2780866138","wikidata":"https://www.wikidata.org/wiki/Q361151","display_name":"Traffic count","level":3,"score":0.4451097548007965},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30869758129119873},{"id":"https://openalex.org/C168443057","wikidata":"https://www.wikidata.org/wiki/Q7001223","display_name":"Traffic volume","level":2,"score":0.2505580484867096},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.23585903644561768},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.19072964787483215},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11915135383605957},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1169937252998352}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3132211.3134461","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132211.3134461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second ACM/IEEE Symposium on Edge Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1480073791","https://openalex.org/W1495370968","https://openalex.org/W1591285480","https://openalex.org/W1603219075","https://openalex.org/W1973261441","https://openalex.org/W1986864914","https://openalex.org/W2006614395","https://openalex.org/W2031454541","https://openalex.org/W2036490799","https://openalex.org/W2061676282","https://openalex.org/W2080801496","https://openalex.org/W2093700832","https://openalex.org/W2103784575","https://openalex.org/W2120419212","https://openalex.org/W2122487083","https://openalex.org/W2124386111","https://openalex.org/W2127038040","https://openalex.org/W2131076267","https://openalex.org/W2137479423","https://openalex.org/W2141896189","https://openalex.org/W2155541015","https://openalex.org/W2161969291","https://openalex.org/W2162763780","https://openalex.org/W2166623283","https://openalex.org/W2225887246","https://openalex.org/W2538008885","https://openalex.org/W2545225635","https://openalex.org/W2607044885","https://openalex.org/W2963037989","https://openalex.org/W3023501095","https://openalex.org/W3097096317","https://openalex.org/W4253883650"],"related_works":["https://openalex.org/W22276206","https://openalex.org/W2489960164","https://openalex.org/W1607802202","https://openalex.org/W2565438091","https://openalex.org/W2999982936","https://openalex.org/W77977451","https://openalex.org/W2035297662","https://openalex.org/W1504841953","https://openalex.org/W2128415924","https://openalex.org/W2134331959"],"abstract_inverted_index":{"Traffic":[0],"estimation":[1,25,35,246,262],"has":[2,10],"been":[3],"a":[4,144,153,196,200],"long-studied":[5],"problem,":[6],"but":[7,75,215],"prior":[8],"work":[9,19,32],"mostly":[11],"provided":[12],"coarse":[13],"estimates":[14],"over":[15,259],"large":[16],"areas.":[17],"This":[18],"proposes":[20],"effective":[21],"fine-grained":[22],"traffic":[23,34,39,51,57,73,134,212,256],"volume":[24],"using":[26],"in-vehicle":[27],"dashboard":[28],"mounted":[29],"cameras.":[30],"Existing":[31],"on":[33,37,79,113,121,129,152,162,195,211],"relies":[36],"static":[38],"cameras":[40],"that":[41,146,206,243],"are":[42,67],"usually":[43],"deployed":[44],"at":[45,49],"crowded":[46],"intersections":[47],"and":[48,88,131,155,159,167,181,199,255,258],"some":[50,59],"lights.":[52],"For":[53,237],"streets":[54],"with":[55],"no":[56],"cameras,":[58],"well-known":[60],"navigation":[61],"apps":[62],"(e.g.,":[63],"Google":[64],"Maps,":[65],"Waze)":[66],"often":[68],"used":[69],"to":[70,85,165,175],"get":[71],"the":[72,93,108,114,148,177,218,229,233,238,268,273],"information":[74,106],"these":[76],"applications":[77],"depend":[78],"limited":[80],"number":[81,109],"of":[82,110,133,179,183],"GPS":[83],"traces":[84],"estimate":[86,176],"speed,":[87],"therefore":[89],"may":[90],"not":[91,103],"show":[92,205,242],"average":[94],"speed":[95,182,245],"experienced":[96],"by":[97],"every":[98],"vehicle.":[99],"Moreover,":[100],"they":[101],"do":[102],"give":[104],"any":[105],"about":[107],"vehicles":[111,123,184,230,265],"traveling":[112,180,231,266],"road.":[115,202],"In":[116],"this":[117,140,163,189],"work,":[118],"we":[119,142,191,221],"focus":[120],"harvesting":[122],"as":[124],"edge":[125],"compute":[126],"nodes,":[127],"focusing":[128],"sensing":[130],"interpretation":[132],"from":[135],"live":[136],"video":[137,150],"streams.":[138],"With":[139],"goal,":[141],"consider":[143],"system":[145],"uses":[147],"dash-cam":[149],"collected":[151],"drive,":[154],"executes":[156],"object":[157],"detection":[158],"identification":[160],"techniques":[161,174],"data":[164],"detect":[166],"count":[168,208],"vehicles.":[169],"We":[170],"use":[171],"image":[172],"processing":[173],"lane":[178,261,271],"in":[185,232,267],"real-time.":[186],"To":[187],"evaluate":[188],"system,":[190],"recorded":[192],"several":[193],"trips":[194],"major":[197],"highway":[198],"university":[201],"The":[203],"results":[204,241],"vehicle":[207],"accuracy":[209,227,263],"depends":[210],"conditions":[213],"heavily":[214],"even":[216],"during":[217],"peak":[219],"hours,":[220],"achieve":[222],"more":[223],"than":[224,249],"90%":[225],"counting":[226],"for":[228,264],"left":[234,269],"most":[235,270],"lane.":[236],"detected":[239],"vehicles,":[240],"our":[244],"gives":[247],"less":[248],"10%":[250],"error":[251],"across":[252],"diverse":[253],"roads":[254],"conditions,":[257],"91%":[260],"(i.e.,":[272],"passing":[274],"lane).":[275]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}