{"id":"https://openalex.org/W2893851655","doi":"https://doi.org/10.1109/tbdata.2018.2872532","title":"BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories","display_name":"BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories","publication_year":2018,"publication_date":"2018-09-28","ids":{"openalex":"https://openalex.org/W2893851655","doi":"https://doi.org/10.1109/tbdata.2018.2872532","mag":"2893851655"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2018.2872532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2018.2872532","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","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/A5023185891","display_name":"Shunsuke Aoki","orcid":"https://orcid.org/0000-0002-3331-2778"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shunsuke Aoki","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3331-2778","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050720322","display_name":"Kaoru Sezaki","orcid":"https://orcid.org/0000-0003-1194-4632"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaoru Sezaki","raw_affiliation_strings":["Center for Spatial Information Science, The University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1194-4632","affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053345000","display_name":"Nicholas Jing Yuan","orcid":"https://orcid.org/0009-0006-3971-4176"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nicholas Jing Yuan","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044651577","display_name":"Xing Xie","orcid":"https://orcid.org/0000-0002-8608-8482"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Xie","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4216,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77572632,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":"2","first_page":"371","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9962999820709229,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7604759335517883},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6776381731033325},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6569392085075378},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.5962251424789429},{"id":"https://openalex.org/keywords/urban-computing","display_name":"Urban computing","score":0.5816219449043274},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5584012866020203},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.4788091778755188},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.43296459317207336},{"id":"https://openalex.org/keywords/garbage","display_name":"Garbage","score":0.4288163483142853},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.4162462055683136},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3200736939907074},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.29720592498779297},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22601580619812012},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17769965529441833},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.09133189916610718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7604759335517883},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6776381731033325},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6569392085075378},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.5962251424789429},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.5816219449043274},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5584012866020203},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.4788091778755188},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.43296459317207336},{"id":"https://openalex.org/C75403996","wikidata":"https://www.wikidata.org/wiki/Q5521979","display_name":"Garbage","level":2,"score":0.4288163483142853},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.4162462055683136},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3200736939907074},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.29720592498779297},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22601580619812012},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17769965529441833},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.09133189916610718},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2018.2872532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2018.2872532","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1640649830","display_name":"Reliable Data Compression and Fusion for Cooperative Perception and Vehicular Communications","funder_award_id":"21K21300","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320322832","display_name":"University of Tokyo","ror":"https://ror.org/057zh3y96"},{"id":"https://openalex.org/F4320333993","display_name":"Microsoft Research Asia","ror":"https://ror.org/0300m5276"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W170252564","https://openalex.org/W939076788","https://openalex.org/W1534625513","https://openalex.org/W1793148911","https://openalex.org/W1982300822","https://openalex.org/W1994412661","https://openalex.org/W1997219441","https://openalex.org/W1999110238","https://openalex.org/W2007159951","https://openalex.org/W2015480405","https://openalex.org/W2035112165","https://openalex.org/W2048968173","https://openalex.org/W2058853499","https://openalex.org/W2062743035","https://openalex.org/W2075364600","https://openalex.org/W2075433852","https://openalex.org/W2081942684","https://openalex.org/W2085264282","https://openalex.org/W2094283130","https://openalex.org/W2095166957","https://openalex.org/W2095334503","https://openalex.org/W2101823987","https://openalex.org/W2109441445","https://openalex.org/W2123661878","https://openalex.org/W2124499489","https://openalex.org/W2148838144","https://openalex.org/W2149510050","https://openalex.org/W2160754518","https://openalex.org/W2164920786","https://openalex.org/W2167993212","https://openalex.org/W2168346693","https://openalex.org/W2294628100","https://openalex.org/W2515454571","https://openalex.org/W2528040708","https://openalex.org/W2565239705","https://openalex.org/W2775868087","https://openalex.org/W2914059298","https://openalex.org/W3123170084","https://openalex.org/W4234961057","https://openalex.org/W6624747817","https://openalex.org/W6632081347","https://openalex.org/W6683716425"],"related_works":["https://openalex.org/W2015747722","https://openalex.org/W2362050182","https://openalex.org/W2382418233","https://openalex.org/W4361008295","https://openalex.org/W2795099256","https://openalex.org/W2961403551","https://openalex.org/W2388273718","https://openalex.org/W2512730499","https://openalex.org/W2766896160","https://openalex.org/W2973580673"],"abstract_inverted_index":{"Large-scale":[0],"events":[1,213],"attracting":[2],"many":[3],"participants":[4],"might":[5,74,79],"have":[6,29],"a":[7,18,50,81,89,118,122,128,159,240],"strong":[8],"negative":[9],"impact":[10],"on":[11,117],"productivity,":[12],"mobility,":[13],"comfort,":[14],"and":[15,38,194,232],"safety":[16],"in":[17,62,71,88,164,227],"city.":[19],"Within":[20],"the":[21,47,72,140,146,149,155,182,186,190,206,211,215,235],"few":[22],"years,":[23],"serious":[24,44],"accidents":[25],"led":[26],"by":[27,144,180],"congestion":[28],"occurred,":[30],"especially":[31],"during":[32],"sports":[33],"events,":[34],"religious":[35],"ceremonies,":[36],"festivals,":[37],"so":[39],"on.":[40],"To":[41],"alleviate":[42],"these":[43],"accidents,":[45],"predicting":[46],"occurrence":[48,61],"of":[49,65,148,185],"large-scale":[51],"event":[52,60,73,99,173,200,207],"is":[53],"much":[54],"significant.":[55],"When":[56],"we":[57,95],"know":[58],"an":[59,97,199],"advance,":[63],"some":[64],"those":[66],"who":[67],"are":[68,113],"not":[69],"interested":[70],"change":[75],"their":[76],"plans":[77],"and/or":[78],"take":[80],"detour":[82],"to":[83,85,166],"avoid":[84],"get":[86],"involved":[87],"heavy":[90],"congestion.":[91],"In":[92,151],"this":[93],"paper,":[94],"present":[96],"early":[98,172],"detection":[100,174],"technique":[101],"named":[102],"BusBeat.":[103],"BusBeat":[104,138,153,170,209,221],"uses":[105,154],"GPS":[106,142],"trajectory":[107],"data":[108,143,225,237],"collected":[109,226,238],"from":[110,239],"periodic-cars":[111,187],"that":[112,188],"vehicles":[114],"periodically":[115],"traveling":[116],"pre-scheduled":[119],"route":[120],"with":[121,158,234],"pre-determined":[123],"departure":[124],"time,":[125],"such":[126],"as":[127],"transit":[129],"bus,":[130],"shuttle,":[131],"garbage":[132],"truck,":[133],"or":[134],"municipal":[135],"patrol":[136],"car.":[137],"interpolates":[139],"missing":[141],"using":[145,181,222],"features":[147],"periodic-cars.":[150],"addition,":[152],"network-based":[156],"analysis":[157],"Time-dependent":[160],"Congestion":[161],"Network":[162],"(TCN)":[163],"order":[165],"detect":[167],"geo-spatial":[168,212],"events.":[169],"achieves":[171],"without":[175],"incurring":[176],"any":[177],"privacy":[178],"invasion,":[179],"continuous":[183],"trajectories":[184],"provide":[189],"real-time":[191],"traffic":[192,197],"flow":[193],"speed.":[195],"Since":[196],"towards":[198],"venue":[201],"would":[202],"be":[203],"slow":[204],"before":[205,214],"starts,":[208],"detects":[210],"attendees":[216],"gather.":[217],"We":[218],"evaluate":[219],"our":[220],"over":[223],"7,000-bus":[224],"Beijing":[228],"for":[229],"5":[230],"months":[231],"compare":[233],"check-in":[236],"social":[241],"network":[242],"service.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
