{"id":"https://openalex.org/W3209165347","doi":"https://doi.org/10.1109/itsc48978.2021.9564881","title":"Efficient Prediction of Region-wide Traffic States in Public Bus Networks using LSTMs","display_name":"Efficient Prediction of Region-wide Traffic States in Public Bus Networks using LSTMs","publication_year":2021,"publication_date":"2021-09-19","ids":{"openalex":"https://openalex.org/W3209165347","doi":"https://doi.org/10.1109/itsc48978.2021.9564881","mag":"3209165347"},"language":"en","primary_location":{"id":"doi:10.1109/itsc48978.2021.9564881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5088143837","display_name":"Marcos Amar\u00eds","orcid":"https://orcid.org/0000-0002-8171-4931"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos Amaris","raw_affiliation_strings":["Faculty of Computing Engineering, Federal University of Par\u00e1, Tucuru\u00ed, PA, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computing Engineering, Federal University of Par\u00e1, Tucuru\u00ed, PA, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008561323","display_name":"Mayur\u00ed A. Morais","orcid":"https://orcid.org/0000-0001-8004-6911"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mayuri A. Morais","raw_affiliation_strings":["Department of Computer Science, Center for Mathematics Computing and Cognition, Federal University of ABC, Santo Andr\u00e9, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Center for Mathematics Computing and Cognition, Federal University of ABC, Santo Andr\u00e9, SP, Brazil","institution_ids":["https://openalex.org/I71715416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012679482","display_name":"Raphael Y. de Camargo","orcid":"https://orcid.org/0000-0001-6021-747X"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Raphael Y. De Camargo","raw_affiliation_strings":["Department of Computer Science, Center for Mathematics Computing and Cognition, Federal University of ABC, Santo Andr\u00e9, SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Center for Mathematics Computing and Cognition, Federal University of ABC, Santo Andr\u00e9, SP, Brazil","institution_ids":["https://openalex.org/I71715416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2158829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"2215","last_page":"2220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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":0.9993000030517578,"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":0.9983999729156494,"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":0.8177270889282227},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.6883100271224976},{"id":"https://openalex.org/keywords/state-information","display_name":"State information","score":0.5542939901351929},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.5439247488975525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4610224664211273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44244664907455444},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.43257033824920654},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.42006027698516846},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37805384397506714},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2449168860912323},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.18117135763168335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09570148587226868},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07719823718070984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8177270889282227},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.6883100271224976},{"id":"https://openalex.org/C2985963534","wikidata":"https://www.wikidata.org/wiki/Q7603704","display_name":"State information","level":3,"score":0.5542939901351929},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.5439247488975525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4610224664211273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44244664907455444},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.43257033824920654},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.42006027698516846},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37805384397506714},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2449168860912323},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.18117135763168335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09570148587226868},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07719823718070984},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc48978.2021.9564881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G2006459058","display_name":"INCT 2014: on the Internet of the Future","funder_award_id":"14/50937-1","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G2453956027","display_name":null,"funder_award_id":"465446/2014\u20100","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W2026942921","https://openalex.org/W2100649405","https://openalex.org/W2131774270","https://openalex.org/W2140041726","https://openalex.org/W2556487516","https://openalex.org/W2579495707","https://openalex.org/W2737200173","https://openalex.org/W2770104456","https://openalex.org/W2791202102","https://openalex.org/W2900682747","https://openalex.org/W2959691222","https://openalex.org/W2966819461","https://openalex.org/W2981293803","https://openalex.org/W3021810927","https://openalex.org/W3041279471","https://openalex.org/W6628877408","https://openalex.org/W6745262502"],"related_works":["https://openalex.org/W1518185400","https://openalex.org/W3200586296","https://openalex.org/W4230332972","https://openalex.org/W1998033311","https://openalex.org/W4247322236","https://openalex.org/W4231165741","https://openalex.org/W233457313","https://openalex.org/W4295104149","https://openalex.org/W1762272577","https://openalex.org/W1569044692"],"abstract_inverted_index":{"Public":[0],"bus":[1,26,43,78,131],"systems":[2],"are":[3],"impacted":[4],"by":[5],"many":[6],"factors,":[7],"such":[8,65],"as":[9,66],"varying":[10],"traffic":[11],"conditions,":[12],"passenger":[13],"demand,":[14],"and":[15,56,136,177],"weather":[16],"changes.":[17],"One":[18],"can":[19,144,173],"combine":[20],"all":[21,129,142],"those":[22],"factors":[23],"that":[24,48,87,133,171],"affect":[25],"travel":[27],"times":[28],"into":[29],"a":[30,37,42,153,186],"single":[31,50,112],"factor":[32],"called":[33],"link":[34,38,51,123,150,181],"state,":[35],"where":[36],"represents":[39],"part":[40],"of":[41,76,100,106,111,121,166],"route.":[44],"Several":[45],"works":[46],"exist":[47],"predict":[49,73,103,180],"states":[52,182],"using":[53],"different":[54],"statistical":[55],"machine":[57],"learning":[58,63],"approaches.":[59],"More":[60],"recently,":[61],"deep":[62],"techniques,":[64],"LSTMs,":[67],"started":[68],"to":[69,72,102,147,179],"be":[70,145,174],"used":[71,146,178],"the":[74,98,104,119,130],"state":[75,105,120,160],"entire":[77,107],"routes.":[79,113],"The":[80],"main":[81],"problem":[82],"with":[83,162],"this":[84,94],"approach":[85],"is":[86,124],"it":[88,172],"uses":[89],"extensive":[90],"computational":[91],"resources.":[92],"In":[93],"work,":[95],"we":[96,169],"evaluate":[97],"use":[99],"LSTMs":[101],"city":[108],"regions":[109],"instead":[110],"It":[114],"has":[115],"two":[116],"advantages:":[117],"(i)":[118],"each":[122],"evaluated":[125],"only":[126],"once":[127],"for":[128,185],"routes":[132,143],"cross":[134],"it,":[135],"(ii)":[137],"information":[138],"from":[139,141],"buses":[140],"determine":[148],"future":[149],"states.":[151],"Using":[152],"shallow":[154],"bidirectional":[155],"LSTM":[156],"architecture":[157],"produced":[158],"accurate":[159],"predictions":[161],"an":[163],"average":[164],"MAPE":[165],"12.5.":[167],"Moreover,":[168],"show":[170],"trained":[175],"daily":[176],"in":[183],"real-time":[184],"large":[187],"metropolis,":[188],"like":[189],"S\u00e3o":[190],"Paulo.":[191]},"counts_by_year":[],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
