{"id":"https://openalex.org/W3115500183","doi":"https://doi.org/10.1109/itsc45102.2020.9294742","title":"Railway Delay Prediction with Spatial-Temporal Graph Convolutional Networks","display_name":"Railway Delay Prediction with Spatial-Temporal Graph Convolutional Networks","publication_year":2020,"publication_date":"2020-09-20","ids":{"openalex":"https://openalex.org/W3115500183","doi":"https://doi.org/10.1109/itsc45102.2020.9294742","mag":"3115500183"},"language":"en","primary_location":{"id":"doi:10.1109/itsc45102.2020.9294742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc45102.2020.9294742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","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/A5011964276","display_name":"Jacob Scott White Heglund","orcid":"https://orcid.org/0000-0002-0086-1332"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jacob S.W. Heglund","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077381108","display_name":"Panukorn Taleongpong","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I2799890334","display_name":"Transport for London","ror":"https://ror.org/03vnshb93","country_code":"GB","type":"government","lineage":["https://openalex.org/I2799730521","https://openalex.org/I2799890334"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Panukorn Taleongpong","raw_affiliation_strings":["Center for Transport Studies, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Center for Transport Studies, Imperial College London, UK","institution_ids":["https://openalex.org/I2799890334","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010818843","display_name":"Simon Hu","orcid":"https://orcid.org/0000-0002-9832-6679"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon Hu","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, Urbana, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, Urbana, IL","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041059272","display_name":"Huy Tran","orcid":"https://orcid.org/0000-0001-6261-6167"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huy T. Tran","raw_affiliation_strings":["School of Civil Engineering, ZJU-UIUC Institute, Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, ZJU-UIUC Institute, Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I4210158570"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011964276"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":1.9091,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.84837791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9901999831199646,"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":0.9901999831199646,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7244521975517273},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6262277364730835},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5249060392379761},{"id":"https://openalex.org/keywords/spatial-network","display_name":"Spatial network","score":0.4863315224647522},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39375990629196167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36033451557159424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12004563212394714}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7244521975517273},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6262277364730835},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5249060392379761},{"id":"https://openalex.org/C53471067","wikidata":"https://www.wikidata.org/wiki/Q7574076","display_name":"Spatial network","level":2,"score":0.4863315224647522},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39375990629196167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36033451557159424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12004563212394714},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc45102.2020.9294742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc45102.2020.9294742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1936252253","https://openalex.org/W2012076162","https://openalex.org/W2079246731","https://openalex.org/W2145078288","https://openalex.org/W2158787690","https://openalex.org/W2519091744","https://openalex.org/W2519887557","https://openalex.org/W2551172258","https://openalex.org/W2567617232","https://openalex.org/W2579177932","https://openalex.org/W2615062698","https://openalex.org/W2618782758","https://openalex.org/W2756203131","https://openalex.org/W2811479091","https://openalex.org/W2903839053","https://openalex.org/W2903871660","https://openalex.org/W2905224888","https://openalex.org/W2907492528","https://openalex.org/W2911583595","https://openalex.org/W2949382160","https://openalex.org/W2952894872","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W3103720336","https://openalex.org/W4210257598","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6752591828","https://openalex.org/W6757374366"],"related_works":["https://openalex.org/W2154204858","https://openalex.org/W3209622820","https://openalex.org/W2382250648","https://openalex.org/W2367363545","https://openalex.org/W2586383879","https://openalex.org/W2067895158","https://openalex.org/W4379507409","https://openalex.org/W4387846317","https://openalex.org/W2990436499","https://openalex.org/W3005644236"],"abstract_inverted_index":{"Cascading":[0],"delays":[1,32,83,121],"that":[2,90],"propagate":[3],"from":[4],"a":[5,9,55,60,113],"primary":[6],"source":[7],"along":[8],"railway":[10,18,38,65,86,125],"network":[11],"are":[12],"an":[13],"immediate":[14],"concern":[15],"for":[16,102,122],"British":[17,64,124],"systems.":[19],"Complex":[20],"nonlinear":[21,51],"interactions":[22,103],"between":[23],"various":[24],"spatio-temporal":[25],"variables":[26],"govern":[27],"the":[28,47,63,73,85,105,110,123],"propagation":[29],"of":[30,49,59,62,112],"these":[31,50],"which":[33,97],"can":[34],"quickly":[35],"spread":[36],"throughout":[37,84],"networks,":[39],"causing":[40],"further":[41],"severe":[42],"disruptions.":[43],"To":[44],"better":[45],"understand":[46],"effects":[48],"interactions,":[52],"we":[53,71],"present":[54],"novel,":[56],"graph-based":[57,69],"formulation":[58],"subset":[61],"network.":[66,87],"Using":[67],"this":[68,91],"formulation,":[70],"apply":[72],"Spatial-Temporal":[74],"Graph":[75,114],"Convolutional":[76],"Network":[77,116],"(STGCN)":[78],"model":[79,92],"to":[80],"predict":[81],"cascading":[82],"We":[88],"find":[89],"outperforms":[93],"other":[94],"statistical":[95],"models":[96],"do":[98],"not":[99],"explicitly":[100],"account":[101],"on":[104],"rail":[106],"network,":[107],"thus":[108],"showing":[109],"value":[111],"Neural":[115],"(GNN)":[117],"approach":[118],"in":[119],"predicting":[120],"system.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}