{"id":"https://openalex.org/W624677410","doi":null,"title":"Computer Model Developed to Predict Rail Passenger Car Response to Track Geometry","display_name":"Computer Model Developed to Predict Rail Passenger Car Response to Track Geometry","publication_year":2000,"publication_date":"2000-10-01","ids":{"openalex":"https://openalex.org/W624677410","mag":"624677410"},"language":"en","primary_location":{"id":"mag:624677410","doi":null,"is_oa":false,"landing_page_url":"https://trid.trb.org/view/918753","pdf_url":null,"source":{"id":"https://openalex.org/S2764580800","display_name":"Research Results","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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Research Results","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5061317857","display_name":"Magdy El-Sibaie","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Magdy El-Sibaie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5061317857"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":1.0,"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"}},{"id":"https://openalex.org/T13615","display_name":"Transportation Systems and Safety","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"}},{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/railway-passenger-cars","display_name":"railroad passenger cars","score":0.8059999942779541},{"id":"https://openalex.org/keywords/track-geometry","display_name":"track geometry","score":0.7929999828338623},{"id":"https://openalex.org/keywords/vehicle-track-interaction","display_name":"vehicle-track interaction","score":0.8270000219345093},{"id":"https://openalex.org/keywords/neural-network-model","display_name":"neural network model","score":0.6039999723434448},{"id":"https://openalex.org/keywords/track-maintenance","display_name":"track maintenance","score":0.5180000066757202},{"id":"https://openalex.org/keywords/railway-safety","display_name":"railway safety","score":0.7850000262260437},{"id":"https://openalex.org/keywords/train-speed","display_name":"train speed","score":0.8550000190734863}],"concepts":[{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.8286205530166626},{"id":"https://openalex.org/C2780899546","wikidata":"https://www.wikidata.org/wiki/Q10676734","display_name":"Track geometry","level":3,"score":0.8281376957893372},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6735283136367798},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49464771151542664},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4733980894088745},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.4702761471271515},{"id":"https://openalex.org/C2777362769","wikidata":"https://www.wikidata.org/wiki/Q40056","display_name":"Computer program","level":2,"score":0.4400864243507385},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.43418973684310913},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4287257194519043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42316120862960815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18685775995254517},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.12257367372512817},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C58226133","wikidata":"https://www.wikidata.org/wiki/Q1324199","display_name":"Pulmonary surfactant","level":2,"score":0.0},{"id":"https://openalex.org/C55352822","wikidata":"https://www.wikidata.org/wiki/Q5558978","display_name":"Gibbs isotherm","level":3,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:624677410","doi":null,"is_oa":false,"landing_page_url":"https://trid.trb.org/view/918753","pdf_url":null,"source":{"id":"https://openalex.org/S2764580800","display_name":"Research Results","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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Research Results","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5378999710083008}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W592151618","https://openalex.org/W1599094647","https://openalex.org/W7217879332","https://openalex.org/W569311231","https://openalex.org/W2065952769","https://openalex.org/W4392340779","https://openalex.org/W4403278459","https://openalex.org/W4320916640","https://openalex.org/W2274590851","https://openalex.org/W6902502716"],"abstract_inverted_index":{"The":[0],"Federal":[1],"Railroad":[2],"Administration":[3],"sponsored":[4],"research":[5],"to":[6,11,61,130,178,211,216],"develop":[7],"a":[8,20,73,88,107,124],"computer":[9,31,69,105,121,141,166],"model":[10,32],"predict":[12],"the":[13,44,48,63,78,84,91,94,97,101,111,115,132,135,145,157,163,169,171,183,190,197,218],"interaction":[14],"between":[15],"vehicle":[16,49],"and":[17,47,80,96,186,200,206],"track":[18,26,41,45,95,180,198],"as":[19,72,87],"railroad":[21,57,125,151],"passenger":[22,126,152],"car":[23,127],"travels":[24],"over":[25],"with":[27],"known":[28,71,213],"geometry.":[29],"This":[30,68,138],"is":[33],"capable":[34],"of":[35,40,56,90,93,100,114,120,123,134,140,148,165],"identifying":[36],"potentially":[37,219],"hazardous":[38,220],"sections":[39],"when":[42],"given":[43],"geometry":[46,92,199],"speed.":[50],"These":[51],"predictions":[52],"will":[53,175],"improve":[54],"safety":[55],"operations":[58],"by":[59],"helping":[60],"determine":[62],"maintenance":[64],"needs":[65],"for":[66,193],"tracks.":[67],"model,":[70],"neural":[74,108,136,158],"network":[75,109,159],"system,":[76],"estimates":[77],"vertical":[79,187],"lateral":[81,185],"forces":[82,188],"on":[83],"wheel/rail":[85],"interface":[86],"function":[89],"operating":[98],"characteristics":[99],"vehicle.":[102],"Unlike":[103],"conventional":[104],"models,":[106],"simulates":[110],"analytical":[112],"workings":[113],"human":[116],"brain.":[117],"A":[118],"series":[119,139,164],"models":[122,142],"were":[128],"developed":[129,173],"evaluate":[131],"effectiveness":[133],"network.":[137],"accurately":[143],"represents":[144],"dynamic":[146],"response":[147],"an":[149],"actual":[150],"car.":[153],"In":[154,168],"Figure":[155],"1,":[156],"output":[160],"closely":[161],"predicts":[162],"models.":[167],"future,":[170],"fully":[172],"system":[174],"be":[176,212],"used":[177],"identify":[179,217],"locations":[181],"where":[182],"estimated":[184],"exceed":[189],"limits":[191],"recommended":[192],"safe":[194],"operations.":[195],"Only":[196],"train":[201],"speed,":[202],"which":[203],"are":[204],"routinely":[205],"easily":[207],"measured":[208],"parameters,":[209],"need":[210],"in":[214],"order":[215],"locations.":[221]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}
