{"id":"https://openalex.org/W4412536756","doi":"https://doi.org/10.1109/tvt.2025.3591132","title":"Deep Reinforcement Learning-Based Task Offloading and Migration for Rail Transit","display_name":"Deep Reinforcement Learning-Based Task Offloading and Migration for Rail Transit","publication_year":2025,"publication_date":"2025-07-21","ids":{"openalex":"https://openalex.org/W4412536756","doi":"https://doi.org/10.1109/tvt.2025.3591132"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2025.3591132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3591132","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-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/A5085078614","display_name":"Junhui Zhao","orcid":"https://orcid.org/0000-0002-4429-494X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junhui Zhao","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4429-494X","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028413106","display_name":"Xu Gao","orcid":"https://orcid.org/0000-0002-9122-8478"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Gao","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030631632","display_name":"Lin He","orcid":"https://orcid.org/0000-0002-2745-3187"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin He","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2745-3187","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005445370","display_name":"Qingmiao Zhang","orcid":"https://orcid.org/0000-0002-6435-767X"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingmiao Zhang","raw_affiliation_strings":["School of Information and software Engineering, East China Jiaotong University, Nanchang, China","School of Information Engineering, East China Jiaotong University, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-6435-767X","affiliations":[{"raw_affiliation_string":"School of Information and software Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072270003","display_name":"Haitao Han","orcid":"https://orcid.org/0000-0002-4911-7643"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haitao Han","raw_affiliation_strings":["Traffic Control Technology Company Ltd., Beijing, China","Traffic Control Technology Co., Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Traffic Control Technology Company Ltd., Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Traffic Control Technology Co., Ltd, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5085078614"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.5898,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69212981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"75","issue":"1","first_page":"1184","last_page":"1194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9458000063896179,"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"}},"topics":[{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9458000063896179,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9429000020027161,"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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9345999956130981,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.6804505586624146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5483898520469666},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5415585041046143},{"id":"https://openalex.org/keywords/rail-transit","display_name":"Rail transit","score":0.47655490040779114},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3661876916885376},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.32183578610420227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27157872915267944},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.15912261605262756}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6804505586624146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5483898520469666},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5415585041046143},{"id":"https://openalex.org/C2992701429","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Rail transit","level":2,"score":0.47655490040779114},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3661876916885376},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.32183578610420227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27157872915267944},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.15912261605262756}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2025.3591132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2025.3591132","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G2364593082","display_name":null,"funder_award_id":"U2001213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5919350233","display_name":null,"funder_award_id":"61971191","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7666201321","display_name":null,"funder_award_id":"L201011","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G8233598800","display_name":null,"funder_award_id":"KFKT-2022101","funder_id":"https://openalex.org/F4320312071","funder_display_name":"Ministry of Education, Libya"}],"funders":[{"id":"https://openalex.org/F4320312071","display_name":"Ministry of Education, Libya","ror":"https://ror.org/02w030k33"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335831","display_name":"Key Laboratory of Universal Wireless Communications of Ministry of Education","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2753557213","https://openalex.org/W2885716158","https://openalex.org/W2954039338","https://openalex.org/W2970192721","https://openalex.org/W3002486958","https://openalex.org/W3010723141","https://openalex.org/W3030218575","https://openalex.org/W3045615471","https://openalex.org/W3048552011","https://openalex.org/W3049724326","https://openalex.org/W3085634010","https://openalex.org/W3113746847","https://openalex.org/W3129433628","https://openalex.org/W3131073733","https://openalex.org/W3135153350","https://openalex.org/W3177311534","https://openalex.org/W3201225292","https://openalex.org/W4283319631","https://openalex.org/W4284969696","https://openalex.org/W4290851513","https://openalex.org/W4293731539","https://openalex.org/W4312250890","https://openalex.org/W4321020921","https://openalex.org/W4323529937"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2368505403","https://openalex.org/W2010154088","https://openalex.org/W2358313156","https://openalex.org/W2179154710","https://openalex.org/W2353075137","https://openalex.org/W2362631906","https://openalex.org/W2369097585","https://openalex.org/W4200278226","https://openalex.org/W2374116529"],"abstract_inverted_index":{"As":[0],"urbanization":[1],"continues":[2],"to":[3,60,193,204],"accelerate,":[4],"rail":[5,46,81],"transit":[6,47,82],"has":[7,30],"become":[8],"the":[9,32,51,56,68,110,113,117,123,134,138,143,161,167,173,180,186,194,198,201],"primary":[10],"choice":[11],"for":[12,45,133,151],"people's":[13],"daily":[14],"travel":[15],"because":[16],"of":[17,25,34,62,75,112,142,189,200],"its":[18],"convenience":[19],"and":[20,27,39,42,96,116,137,156],"safety.":[21],"The":[22],"rapid":[23],"development":[24],"5G":[26],"artificial":[28],"intelligence":[29],"brought":[31],"advantages":[33],"supporting":[35],"more":[36],"device":[37],"connectivity":[38],"ensuring":[40],"real-time":[41],"reliable":[43],"tasks":[44],"communication":[48,83],"system.":[49],"However,":[50],"ensuing":[52],"data":[53],"explosion":[54],"increases":[55],"system":[57,202],"load,":[58],"leading":[59],"problems":[61],"delayed":[63],"task":[64,69,94,119,154,181,190],"processing.":[65],"To":[66,92],"address":[67],"migration":[70,129,140,157,182],"problem":[71,183],"caused":[72,184],"by":[73,185],"users":[74],"high-speed":[76],"train,":[77],"we":[78,98],"adopt":[79],"a":[80,100,127],"architecture":[84],"based":[85],"on":[86],"mobile":[87],"edge":[88],"computing":[89],"(MEC)":[90],"technology.":[91],"optimize":[93],"offloading":[95,155],"migration,":[97],"propose":[99],"mobility-deep":[101],"deterministic":[102],"policy":[103],"gradient":[104],"(M-DDPG)":[105],"optimization":[106,149],"scheme.":[107],"By":[108],"considering":[109],"mobility":[111],"train":[114,135,152],"user":[115,118,136,144,153],"completion":[120],"when":[121],"leaving":[122],"base":[124],"station":[125],"(BS),":[126],"suitable":[128],"model":[130],"is":[131,145,158],"designed":[132],"possible":[139],"cost":[141],"optimized.":[146],"A":[147],"joint":[148],"strategy":[150],"obtained":[159],"using":[160],"DDPG":[162],"algorithm":[163,175],"trained":[164],"interactively":[165],"with":[166,179],"environment.":[168],"Simulation":[169],"results":[170,191],"show":[171],"that":[172],"M-DDPG":[174],"can":[176],"effectively":[177],"deal":[178],"successful":[187],"transmission":[188],"back":[192],"user,":[195],"which":[196],"optimizes":[197],"performance":[199],"compared":[203],"multiple":[205],"algorithms.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
