{"id":"https://openalex.org/W2292995957","doi":"https://doi.org/10.4018/ijwsr.2016010105","title":"A Novel Freeway Traffic Speed Estimation Model with Massive Cellular Signaling Data","display_name":"A Novel Freeway Traffic Speed Estimation Model with Massive Cellular Signaling Data","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2292995957","doi":"https://doi.org/10.4018/ijwsr.2016010105","mag":"2292995957"},"language":"en","primary_location":{"id":"doi:10.4018/ijwsr.2016010105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijwsr.2016010105","pdf_url":null,"source":{"id":"https://openalex.org/S119470311","display_name":"International Journal of Web Services Research","issn_l":"1545-7362","issn":["1545-7362","1546-5004"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Services Research","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/A5049022297","display_name":"Tongyu Zhu","orcid":"https://orcid.org/0000-0002-2284-4795"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tongyu Zhu","raw_affiliation_strings":["State Key Lab of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073163900","display_name":"Zhixin Song","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixin Song","raw_affiliation_strings":["State Key Lab of Software Development Environment, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101681177","display_name":"Dongdong Wu","orcid":"https://orcid.org/0000-0002-4655-3992"},"institutions":[{"id":"https://openalex.org/I4210126311","display_name":"Beijing Transportation Research Center","ror":"https://ror.org/03pydk223","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Wu","raw_affiliation_strings":["Beijing Transportation Information Center, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Transportation Information Center, Beijing, China","institution_ids":["https://openalex.org/I4210126311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100639005","display_name":"Jianjun Yu","orcid":"https://orcid.org/0000-0003-0522-943X"},"institutions":[{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Yu","raw_affiliation_strings":["Computer Network Information Center, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Computer Network Information Center, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049022297"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.3049,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63243587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"13","issue":"1","first_page":"69","last_page":"87"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8634620308876038},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7185640931129456},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5009183883666992},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4083613157272339},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3792194128036499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2746852934360504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8634620308876038},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7185640931129456},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5009183883666992},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4083613157272339},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3792194128036499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2746852934360504},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijwsr.2016010105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijwsr.2016010105","pdf_url":null,"source":{"id":"https://openalex.org/S119470311","display_name":"International Journal of Web Services Research","issn_l":"1545-7362","issn":["1545-7362","1546-5004"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Services Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jwsr00:v:13:y:2016:i:1:p:69-87","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWSR.2016010105","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1519789204","https://openalex.org/W1690993342","https://openalex.org/W1864193793","https://openalex.org/W1987197474","https://openalex.org/W1996432640","https://openalex.org/W2002793621","https://openalex.org/W2016351790","https://openalex.org/W2021002141","https://openalex.org/W2060138201","https://openalex.org/W2075085547","https://openalex.org/W2083620785","https://openalex.org/W2088061407","https://openalex.org/W2098474202","https://openalex.org/W2098949101","https://openalex.org/W2100378013","https://openalex.org/W2104208272","https://openalex.org/W2107761673","https://openalex.org/W2121413385","https://openalex.org/W2123007293","https://openalex.org/W2128415924","https://openalex.org/W2143308790","https://openalex.org/W2144169341","https://openalex.org/W2164500427","https://openalex.org/W2364981588"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W2382290278","https://openalex.org/W4323768008","https://openalex.org/W2478288626"],"abstract_inverted_index":{"With":[0],"the":[1,16,22,30,77,82,95,102,105],"growing":[2],"popularity":[3],"of":[4,29,50,104],"cell":[5],"phones,":[6],"using":[7],"massive":[8],"cellular":[9,78],"signaling":[10,79],"data":[11,46,74,80,84],"as":[12],"probe":[13],"to":[14,65,93,111],"track":[15],"vehicles":[17],"movement":[18],"trajectory":[19],"and":[20,47,86],"obtain":[21],"real-time":[23],"traffic":[24,51,114],"condition":[25],"has":[26],"become":[27],"one":[28],"most":[31],"attractive":[32],"candidate":[33],"techniques.":[34],"However,":[35],"traditional":[36],"approaches":[37],"may":[38],"offer":[39],"a":[40,60,88],"poor":[41],"performance":[42],"in":[43,53,109],"removing":[44],"noisy":[45,73],"minimizing":[48],"deviation":[49],"speed":[52,115],"adjacent":[54],"time":[55],"intervals.":[56],"In":[57],"this":[58],"paper,":[59],"novel":[61],"approach":[62,106],"is":[63],"proposed":[64],"solve":[66],"these":[67],"two":[68,113],"issues.":[69],"The":[70,97],"authors":[71],"move":[72],"by":[75],"comparing":[76],"with":[81],"trained":[83],"set,":[85],"adopt":[87],"modified":[89],"Kalman":[90],"filter":[91],"algorithm":[92],"minimize":[94],"deviations.":[96],"experiment":[98],"results":[99],"show":[100],"that":[101],"accuracy":[103],"performs":[107],"better":[108],"comparison":[110],"other":[112],"estimation":[116],"approaches.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
