{"id":"https://openalex.org/W3045657135","doi":"https://doi.org/10.1109/cibda50819.2020.00017","title":"Traffic Jam Prediction Based on Analysis of Residents Spatial Activities","display_name":"Traffic Jam Prediction Based on Analysis of Residents Spatial Activities","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3045657135","doi":"https://doi.org/10.1109/cibda50819.2020.00017","mag":"3045657135"},"language":"en","primary_location":{"id":"doi:10.1109/cibda50819.2020.00017","doi":"https://doi.org/10.1109/cibda50819.2020.00017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibda50819.2020.00017","pdf_url":null,"source":{"id":"https://openalex.org/S4306498704","display_name":"International Conference on Computer Information and Big Data Applications (CIBDA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Computer Information and Big Data Applications (CIBDA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5061296559","display_name":"Zhijin Lv","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4405259713","display_name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University","ror":"https://ror.org/02knk1347","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405259713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijin Lv","raw_affiliation_strings":["College of Software, Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Changchun"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Changchun","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4405259713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115501032","display_name":"Hao Fu","orcid":"https://orcid.org/0000-0002-4349-8748","observed_orcids":["https://orcid.org/0000-0002-4349-8748"]},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4405259713","display_name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University","ror":"https://ror.org/02knk1347","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405259713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Fu","raw_affiliation_strings":["College of Software, Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Changchun"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Changchun","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4405259713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052047668","display_name":"Wei Tang","orcid":"https://orcid.org/0000-0001-8693-7328","observed_orcids":["https://orcid.org/0000-0001-8693-7328"]},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4405259713","display_name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University","ror":"https://ror.org/02knk1347","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405259713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Tang","raw_affiliation_strings":["College of Software, Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Changchun"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Changchun","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4405259713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102023780","display_name":"Xiaoxu Chen","orcid":"https://orcid.org/0000-0003-3629-6109","observed_orcids":["https://orcid.org/0000-0003-3629-6109"]},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4405259713","display_name":"Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University","ror":"https://ror.org/02knk1347","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405259713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxu Chen","raw_affiliation_strings":["College of Software, Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Changchun"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Software, Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Changchun","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4405259713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5856,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63127464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9980000257492065,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9980000257492065,"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":0.0010999999940395355,"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/T10524","display_name":"Traffic control and management","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/traffic-congestion-prediction","display_name":"traffic congestion prediction","score":0.9279999732971191},{"id":"https://openalex.org/keywords/intelligent-transportation-systems","display_name":"intelligent transportation systems","score":0.8799999952316284},{"id":"https://openalex.org/keywords/travel-behavior","display_name":"travel behavior","score":0.6380000114440918},{"id":"https://openalex.org/keywords/traffic-simulation","display_name":"traffic simulation","score":0.574999988079071}],"concepts":[{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.7429103255271912},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.6397186517715454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.629969596862793},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5429621934890747},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.4820052683353424},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.45928263664245605},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41490185260772705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22626632452011108},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14944589138031006},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibda50819.2020.00017","doi":"https://doi.org/10.1109/cibda50819.2020.00017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibda50819.2020.00017","pdf_url":null,"source":{"id":"https://openalex.org/S4306498704","display_name":"International Conference on Computer Information and Big Data Applications (CIBDA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Computer Information and Big Data Applications (CIBDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":1.0,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"},{"score":0.5378999710083008,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2026131661","https://openalex.org/W2410660554"],"related_works":["https://openalex.org/W2782925239","https://openalex.org/W4386081284","https://openalex.org/W7133294972","https://openalex.org/W4387047341","https://openalex.org/W2076492656","https://openalex.org/W7220463516","https://openalex.org/W4390062733","https://openalex.org/W7106309082","https://openalex.org/W3094073818","https://openalex.org/W3112446002"],"abstract_inverted_index":{"The":[0,21,46,134,153],"prediction":[1,91,151],"of":[2,10,17,37,49,72,75,79,97,108,121],"urban":[3,25,30,109],"traffic":[4,26,31,80,89,110,118],"congestion":[5,27,81,90,119],"has":[6,52,149],"always":[7],"been":[8],"one":[9],"the":[11,15,76,95,103,106,117,122,139,159],"important":[12],"contents":[13],"in":[14,23,156],"research":[16],"intelligent":[18],"transportation":[19],"systems.":[20],"difficulty":[22],"predicting":[24],"is":[28,33],"that":[29,138],"operation":[32,111],"essentially":[34],"a":[35,88],"collection":[36],"spatial":[38,99,144],"activity":[39],"planning":[40],"for":[41,82],"residents":[42,50],"under":[43],"certain":[44],"conditions.":[45],"huge":[47],"group":[48],"themselves":[51],"great":[53],"complexity":[54],"and":[55,66,70,127,129,148,162],"uncertainty.":[56],"Traditional":[57],"neural":[58],"networks":[59],"mostly":[60],"focus":[61],"on":[62,94],"road":[63,67],"characteristic":[64],"data":[65],"condition":[68],"data,":[69],"lack":[71],"in-depth":[73],"exploration":[74],"fundamental":[77],"factors":[78],"residents'":[83,98,104,143],"travel.":[84],"So":[85],"we":[86],"propose":[87],"model":[92,132,140],"based":[93],"analysis":[96],"activities.":[100],"Starting":[101],"from":[102],"activities,":[105],"simulation":[107],"conditions":[112],"can":[113],"more":[114],"realistically":[115],"reflect":[116],"situation":[120,161],"city":[123],"at":[124],"specific":[125],"times":[126],"roads,":[128],"quickly":[130],"generate":[131],"results.":[133],"experimental":[135],"results":[136,154],"show":[137],"analyzed":[141],"by":[142],"activities":[145],"runs":[146],"fast":[147],"high":[150],"accuracy.":[152],"are":[155],"line":[157],"with":[158],"actual":[160],"have":[163],"strong":[164],"practical":[165],"value.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2020-08-03T00:00:00"}