{"id":"https://openalex.org/W4412445930","doi":"https://doi.org/10.1109/noms57970.2025.11073713","title":"A Three-Layer LSTM Approach for Proactive Train Schedule Variability Alerts for Individuals with Reduced Mobility","display_name":"A Three-Layer LSTM Approach for Proactive Train Schedule Variability Alerts for Individuals with Reduced Mobility","publication_year":2025,"publication_date":"2025-05-12","ids":{"openalex":"https://openalex.org/W4412445930","doi":"https://doi.org/10.1109/noms57970.2025.11073713"},"language":"en","primary_location":{"id":"doi:10.1109/noms57970.2025.11073713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms57970.2025.11073713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2025-2025 IEEE Network Operations and Management Symposium","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/A5031496199","display_name":"Mayssa Dardour","orcid":"https://orcid.org/0009-0001-0877-5287"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mayssa Dardour","raw_affiliation_strings":["Univ. Bordeaux, Bordeaux INP,CNRS, LaBRI, UMR5800,Talence,France,F-33400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Bordeaux, Bordeaux INP,CNRS, LaBRI, UMR5800,Talence,France,F-33400","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210160189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067540221","display_name":"Mohamed Mosbah","orcid":"https://orcid.org/0000-0001-6031-4237"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed Mosbah","raw_affiliation_strings":["Univ. Bordeaux, Bordeaux INP,CNRS, LaBRI, UMR5800,Talence,France,F-33400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Bordeaux, Bordeaux INP,CNRS, LaBRI, UMR5800,Talence,France,F-33400","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210160189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042911191","display_name":"Toufik Ahmed","orcid":"https://orcid.org/0000-0002-9245-0759"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Toufik Ahmed","raw_affiliation_strings":["Univ. Bordeaux, Bordeaux INP,CNRS, LaBRI, UMR5800,Talence,France,F-33400"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Bordeaux, Bordeaux INP,CNRS, LaBRI, UMR5800,Talence,France,F-33400","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210160189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9850999712944031,"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":0.9757000207901001,"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/computer-science","display_name":"Computer science","score":0.7657049298286438},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.6917402148246765},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.6332782506942749},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.43494898080825806},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3962041437625885},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.24542519450187683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7657049298286438},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.6917402148246765},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.6332782506942749},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.43494898080825806},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3962041437625885},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.24542519450187683},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms57970.2025.11073713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms57970.2025.11073713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2025-2025 IEEE Network Operations and Management Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W3136156967","https://openalex.org/W3194177495","https://openalex.org/W3199708877","https://openalex.org/W3205763863","https://openalex.org/W4206797780","https://openalex.org/W4295419358","https://openalex.org/W4307320890","https://openalex.org/W4366091323","https://openalex.org/W4367325826","https://openalex.org/W4376126961","https://openalex.org/W4381734397","https://openalex.org/W4381744951","https://openalex.org/W4386280813","https://openalex.org/W4390692353","https://openalex.org/W4391103530","https://openalex.org/W4391900638","https://openalex.org/W4391951723","https://openalex.org/W4392139962","https://openalex.org/W4392151718","https://openalex.org/W4392173903","https://openalex.org/W4392909880","https://openalex.org/W4395447505","https://openalex.org/W4396680728","https://openalex.org/W4399485539","https://openalex.org/W4399764473","https://openalex.org/W4400220910","https://openalex.org/W4401163128","https://openalex.org/W4401443851","https://openalex.org/W4402187277","https://openalex.org/W4402571517"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Individuals":[0],"with":[1,138],"reduced":[2],"mobility":[3],"rely":[4],"on":[5,30],"accurate":[6],"information":[7],"to":[8,43,92,96,144],"navigate":[9],"transit":[10],"systems":[11],"effectively.":[12],"Proactive":[13],"notifications":[14],"about":[15],"Train":[16],"Schedule":[17],"Variability":[18,64,202],"(TSV)":[19],"can":[20],"significantly":[21],"enhance":[22],"their":[23,58],"travel":[24],"experience":[25],"by":[26],"providing":[27],"timely":[28],"alerts":[29],"potential":[31],"delays.":[32,98],"This":[33,127],"paper":[34],"introduces":[35],"a":[36,51,63,74,118,250],"three-layer":[37,152,242,269],"Long":[38],"Short-Term":[39],"Memory":[40],"(LSTM)":[41],"model":[42,61,154,244,271],"predict":[44],"TSV":[45],"and":[46,70,80,113,132,141,159,173,192],"notify":[47],"reduced-mobility":[48],"individuals":[49],"through":[50],"Human-Machine":[52],"Interface":[53],"(HMI)":[54],"system":[55],"integrated":[56],"into":[57],"wheelchairs.":[59],"Our":[60],"estimates":[62],"Index":[65],"(VI)":[66],"over":[67],"7,":[68],"15,":[69],"30-day":[71],"windows":[72,143],"within":[73],"hierarchical":[75],"architecture":[76],"spanning":[77],"edge,":[78],"fog,":[79],"cloud":[81],"layers.":[82],"The":[83],"edge":[84],"layer":[85],"delivers":[86],"advance":[87],"notifications,":[88],"alerting":[89],"users":[90],"up":[91],"7":[93],"days":[94],"prior":[95],"anticipated":[97],"A":[99],"Hierarchical":[100],"Clustering":[101],"Approach":[102],"(HCA)":[103],"is":[104,179],"applied":[105],"for":[106,240,254,272],"robust":[107],"data":[108,146],"preparation,":[109],"addressing":[110],"missing":[111],"values":[112],"identifying":[114],"weekly":[115],"patterns":[116],"in":[117,211],"one-year":[119],"dataset":[120],"of":[121,130,232,267],"train":[122],"schedules":[123],"from":[124],"Frankfurt":[125],"Station.":[126],"dataset,":[128],"inclusive":[129],"seasonal":[131],"weather":[133],"variability,":[134],"undergoes":[135],"additional":[136],"processing":[137],"median":[139],"filters":[140],"time-sliding":[142],"create":[145],"matrices.":[147],"We":[148],"evaluate":[149],"the":[150,201,224,229,236,241,260,265,268],"proposed":[151],"LSTM":[153,157,243,270],"against":[155],"multiple":[156],"configurations":[158],"traditional":[160],"time":[161],"series":[162],"forecasting":[163],"models,":[164],"including":[165],"AutoRegressive":[166],"Integrated":[167],"Moving":[168],"Average":[169],"(ARIMA),":[170],"Kalman":[171],"Filtering,":[172],"an":[174],"ARIMA-Kalman":[175],"hybrid.":[176],"Model":[177],"performance":[178,231],"assessed":[180],"using":[181,221],"Root":[182],"Mean":[183,187,193,207],"Squared":[184,208],"Error":[185,190,195,209],"(RMSE),":[186],"Absolute":[188,194],"Percentage":[189],"(MAPE),":[191],"(MAE).":[196],"Additionally,":[197],"results":[198],"demonstrate":[199],"that":[200],"Assignment":[203],"Score":[204],"(VAS)":[205],"surpasses":[206],"(MSE)":[210],"fault":[212],"detection":[213],"accuracy.":[214],"Receiver":[215],"Operating":[216],"Characteristic":[217],"(ROC)":[218],"curve":[219,239],"analysis,":[220],"Area":[222],"Under":[223],"Curve":[225],"(AUC)":[226],"metrics,":[227],"validates":[228],"superior":[230],"our":[233],"model.":[234],"Specifically,":[235],"VAS-based":[237],"ROC":[238],"outperforms":[245],"others,":[246],"underscoring":[247],"VAS":[248],"as":[249],"more":[251],"effective":[252],"measure":[253],"variability":[255],"detection.":[256],"Further":[257],"validation":[258],"via":[259],"Diebold-Mariano":[261],"(DM)":[262],"test":[263],"confirms":[264],"suitability":[266],"this":[273],"application.":[274]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}