{"id":"https://openalex.org/W2990510493","doi":"https://doi.org/10.1109/itsc.2019.8916868","title":"Towards a General Prediction System for the Primary Delay in Urban Railways","display_name":"Towards a General Prediction System for the Primary Delay in Urban Railways","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990510493","doi":"https://doi.org/10.1109/itsc.2019.8916868","mag":"2990510493"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8916868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8916868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060119548","display_name":"Jianqing Wu","orcid":"https://orcid.org/0000-0001-7198-4199"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Jianqing Wu","raw_affiliation_strings":["School of Computing and Information Technology, University of Wollongong, Wollongong, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643784","display_name":"Luping Zhou","orcid":"https://orcid.org/0000-0001-8762-2424"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Luping Zhou","raw_affiliation_strings":["School of Computing and Information Technology, University of Wollongong, Wollongong, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317628","display_name":"Chen Cai","orcid":"https://orcid.org/0000-0001-6729-227X"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chen Cai","raw_affiliation_strings":["Advanced Data Analytics in Transport, Data 61, CSIRO, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Advanced Data Analytics in Transport, Data 61, CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605495","display_name":"Fang Dong","orcid":"https://orcid.org/0000-0001-6770-326X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Dong","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031318875","display_name":"Jun Shen","orcid":"https://orcid.org/0000-0002-9403-7140"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Shen","raw_affiliation_strings":["School of Computing and Information Technology, University of Wollongong, Wollongong, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101555959","display_name":"Geng Sun","orcid":"https://orcid.org/0000-0002-7675-5034"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Geng Sun","raw_affiliation_strings":["School of Computing and Information Technology, University of Wollongong, Wollongong, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, University of Wollongong, Wollongong, Australia","institution_ids":["https://openalex.org/I204824540"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060119548"],"corresponding_institution_ids":["https://openalex.org/I204824540"],"apc_list":null,"apc_paid":null,"fwci":1.9869,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88974459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3482","last_page":"3487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9944000244140625,"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/T10842","display_name":"Railway Engineering and Dynamics","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/leverage","display_name":"Leverage (statistics)","score":0.8073921203613281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7710506916046143},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5975856184959412},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5146906971931458},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5020954608917236},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.49703219532966614},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4614087641239166},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4484729766845703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42161089181900024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4196256697177887},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41444239020347595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40743887424468994},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15027913451194763}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8073921203613281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710506916046143},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5975856184959412},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5146906971931458},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5020954608917236},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.49703219532966614},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4614087641239166},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4484729766845703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42161089181900024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4196256697177887},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41444239020347595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40743887424468994},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15027913451194763},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/itsc.2019.8916868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8916868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:ro.uow.edu.au:eispapers1-4322","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/eispapers1/3300","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty of Engineering and Information Sciences - Papers: Part B","raw_type":"presentation"},{"id":"pmh:oai:figshare.com:article/27703698","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/141577","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/141577","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27703698","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1560739766","https://openalex.org/W1689711448","https://openalex.org/W1965566027","https://openalex.org/W2012702530","https://openalex.org/W2032917993","https://openalex.org/W2064675550","https://openalex.org/W2117284974","https://openalex.org/W2146900262","https://openalex.org/W2148714761","https://openalex.org/W2157331557","https://openalex.org/W2417245211","https://openalex.org/W2528685867","https://openalex.org/W2558921574","https://openalex.org/W2610323442","https://openalex.org/W2613904329","https://openalex.org/W2618782758","https://openalex.org/W2728650797","https://openalex.org/W2790452546","https://openalex.org/W2794204271","https://openalex.org/W2902455138","https://openalex.org/W2964265128","https://openalex.org/W4231437173","https://openalex.org/W4236047370","https://openalex.org/W6653686496","https://openalex.org/W6737778391","https://openalex.org/W6756753118"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W2499527417"],"abstract_inverted_index":{"Nowadays":[0],"a":[1,44],"large":[2],"amount":[3],"of":[4,98],"data":[5,73,86,102],"is":[6],"collected":[7],"from":[8],"sensor":[9],"devices":[10],"across":[11],"the":[12,37,72,93,96,99,112],"cyber-physical":[13],"networks.":[14],"Accurate":[15],"and":[16,27,46,66,88],"reliable":[17],"primary":[18,121],"delay":[19,122],"predictions":[20],"are":[21],"essential":[22],"for":[23,119],"rail":[24],"operations":[25],"management":[26],"planning.":[28],"However,":[29],"very":[30],"few":[31],"existing":[32],"`big":[33],"data'":[34],"methods":[35],"meet":[36],"specific":[38],"needs":[39],"in":[40],"railways.":[41],"We":[42],"propose":[43],"comprehensive":[45],"general":[47],"data-driven":[48],"Primary":[49],"Delay":[50],"Prediction":[51],"System":[52],"(PDPS)":[53],"framework,":[54,78],"which":[55],"combines":[56],"General":[57],"Transit":[58],"Feed":[59],"Specification":[60],"(GTFS),":[61],"Critical":[62],"Point":[63],"Search":[64],"(CPS),":[65],"deep":[67,109],"learning":[68,110],"models":[69],"to":[70,95],"leverage":[71],"fusion.":[74],"Based":[75],"on":[76],"this":[77],"we":[79,105],"have":[80],"also":[81],"developed":[82],"an":[83,107],"open":[84,101],"source":[85],"collection":[87],"processing":[89],"tool":[90],"that":[91],"reduces":[92],"barrier":[94],"use":[97],"different":[100],"sources.":[103],"Finally,":[104],"demonstrate":[106],"advanced":[108],"model,":[111],"novel":[113],"ConvLSTM":[114],"Encoder-Decoder":[115],"model":[116],"with":[117],"CPS":[118],"better":[120],"predictions.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}