{"id":"https://openalex.org/W1989713135","doi":"https://doi.org/10.1109/wmnc.2011.6097232","title":"The prediction of bus arrival time using global positioning system data and dynamic traffic information","display_name":"The prediction of bus arrival time using global positioning system data and dynamic traffic information","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W1989713135","doi":"https://doi.org/10.1109/wmnc.2011.6097232","mag":"1989713135"},"language":"en","primary_location":{"id":"doi:10.1109/wmnc.2011.6097232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wmnc.2011.6097232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th Joint IFIP Wireless and Mobile Networking Conference (WMNC 2011)","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/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 Laboratory of Software Development Environment, Beihang University, Beijing, China","State Key Laboratory of Software Development Environment, Beihang University Beijing China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University Beijing China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022673136","display_name":"Fajin Ma","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":"Fajin Ma","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","State Key Laboratory of Software Development Environment, Beihang University Beijing China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University Beijing China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101910089","display_name":"Tao Ma","orcid":"https://orcid.org/0000-0003-3475-7987"},"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":"Tao Ma","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","State Key Laboratory of Software Development Environment, Beihang University Beijing China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University Beijing China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100332238","display_name":"Congcong Li","orcid":"https://orcid.org/0000-0002-1240-1202"},"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":"Congcong Li","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","State Key Laboratory of Software Development Environment, Beihang University Beijing China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University Beijing China","institution_ids":["https://openalex.org/I82880672"]}]}],"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":3.8695,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.92327088,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9997000098228455,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9962000250816345,"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/beijing","display_name":"Beijing","score":0.7974793910980225},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.7851927876472473},{"id":"https://openalex.org/keywords/dwell-time","display_name":"Dwell time","score":0.749443769454956},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.7362520694732666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7071537375450134},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6707615852355957},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.615402102470398},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5972826480865479},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5779760479927063},{"id":"https://openalex.org/keywords/arrival-time","display_name":"Arrival time","score":0.5329225063323975},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.46893739700317383},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.46236422657966614},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4315224289894104},{"id":"https://openalex.org/keywords/real-time-data","display_name":"Real-time data","score":0.415205180644989},{"id":"https://openalex.org/keywords/automatic-vehicle-location","display_name":"Automatic vehicle location","score":0.4122784733772278},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21495166420936584},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.2035834789276123},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17191702127456665}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.7974793910980225},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.7851927876472473},{"id":"https://openalex.org/C151637689","wikidata":"https://www.wikidata.org/wiki/Q5318064","display_name":"Dwell time","level":2,"score":0.749443769454956},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7362520694732666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7071537375450134},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6707615852355957},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.615402102470398},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5972826480865479},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5779760479927063},{"id":"https://openalex.org/C3017552255","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Arrival time","level":2,"score":0.5329225063323975},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.46893739700317383},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.46236422657966614},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4315224289894104},{"id":"https://openalex.org/C110593043","wikidata":"https://www.wikidata.org/wiki/Q7300787","display_name":"Real-time data","level":2,"score":0.415205180644989},{"id":"https://openalex.org/C202176563","wikidata":"https://www.wikidata.org/wiki/Q2527484","display_name":"Automatic vehicle location","level":3,"score":0.4122784733772278},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21495166420936584},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.2035834789276123},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17191702127456665},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wmnc.2011.6097232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wmnc.2011.6097232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th Joint IFIP Wireless and Mobile Networking Conference (WMNC 2011)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W31895539","https://openalex.org/W570847266","https://openalex.org/W645282532","https://openalex.org/W1976223062","https://openalex.org/W1991694886","https://openalex.org/W2025751497","https://openalex.org/W2026184121","https://openalex.org/W2121755625","https://openalex.org/W2132240838","https://openalex.org/W2144462757","https://openalex.org/W2150355610","https://openalex.org/W2573654463","https://openalex.org/W2736581383","https://openalex.org/W6616178748","https://openalex.org/W6682180267","https://openalex.org/W6732257628","https://openalex.org/W6740921106"],"related_works":["https://openalex.org/W2999481788","https://openalex.org/W2784128073","https://openalex.org/W2132240838","https://openalex.org/W4253225819","https://openalex.org/W1818126648","https://openalex.org/W2902306928","https://openalex.org/W599210483","https://openalex.org/W2564227947","https://openalex.org/W640474992","https://openalex.org/W655862944"],"abstract_inverted_index":{"As":[0],"more":[1,3,40],"and":[2,54,136,143,164],"vehicles":[4,44],"are":[5,79,151],"being":[6],"introduced":[7],"into":[8],"the":[9,21,27,82,91,160,170,175],"urban":[10,24],"streets":[11],"every":[12],"year,":[13],"congestion":[14],"has":[15,121],"become":[16],"a":[17,61,123,182],"serious":[18],"problem":[19],"in":[20,94,180],"context":[22],"of":[23,64,81,126,174],"transport":[25,47],"around":[26],"world.":[28],"A":[29],"desirable":[30],"strategy":[31],"to":[32,38,45,101,108,111,157],"deal":[33],"with":[34,169],"such":[35,97],"issues":[36],"is":[37,60],"shift":[39],"people":[41],"from":[42],"personal":[43],"public":[46,75],"by":[48],"providing":[49],"better":[50],"service":[51],"(comfort,":[52],"convenience":[53],"so":[55],"on).":[56],"Travel":[57,118],"time":[58,119,146,192],"information":[59,104],"vital":[62],"component":[63],"many":[65],"intelligent":[66],"transportation":[67,76],"systems":[68,77],"(ITS)":[69],"applications.":[70],"In":[71],"this":[72],"context,":[73],"advanced":[74],"(APTS)":[78],"one":[80],"most":[83],"important":[84],"ITS":[85],"applications,":[86],"which":[87,132,185],"can":[88,186],"significantly":[89],"improve":[90],"traffic":[92],"situation":[93],"Beijing.":[95],"One":[96],"application":[98],"will":[99,178],"be":[100,187],"provide":[102],"accurate":[103],"about":[105],"bus":[106,116,141,161,190],"arrivals":[107],"passengers,":[109],"leading":[110],"reduced":[112],"waiting":[113],"times":[114,139,173],"at":[115,140,147],"stops.":[117],"prediction":[120],"been":[122],"well-renowned":[124],"topic":[125],"research":[127],"for":[128,189],"years.":[129],"However,":[130],"studies":[131],"were":[133],"model":[134],"based":[135],"incorporating":[137],"dwell":[138],"stops":[142],"also":[144],"delay":[145],"signalized":[148,165],"intersection":[149,166],"explicitly":[150,158],"limited.":[152],"The":[153],"present":[154],"study":[155],"tries":[156],"incorporate":[159],"stop":[162],"delays":[163,167],"associated":[168],"total":[171],"travel":[172],"buses.":[176],"This":[177],"help":[179],"obtaining":[181],"reliable":[183],"algorithm":[184],"adopted":[188],"arrival":[191],"prediction.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}