{"id":"https://openalex.org/W7124432358","doi":"https://doi.org/10.1109/tits.2026.3651914","title":"A Predictive Artificial Potential Field Method for Virtual Coupling Train Control","display_name":"A Predictive Artificial Potential Field Method for Virtual Coupling Train Control","publication_year":2026,"publication_date":"2026-01-16","ids":{"openalex":"https://openalex.org/W7124432358","doi":"https://doi.org/10.1109/tits.2026.3651914"},"language":null,"primary_location":{"id":"doi:10.1109/tits.2026.3651914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2026.3651914","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5029241141","display_name":"Yuqing Ji","orcid":"https://orcid.org/0000-0002-3442-3349"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Ji","raw_affiliation_strings":["Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, College of Transportation, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3442-3349","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, College of Transportation, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039361726","display_name":"Egidio Quaglietta","orcid":"https://orcid.org/0000-0002-7936-5832"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Egidio Quaglietta","raw_affiliation_strings":["Department of Transport and Planning, Delft University of Technology, Delft, CN, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-7936-5832","affiliations":[{"raw_affiliation_string":"Department of Transport and Planning, Delft University of Technology, Delft, CN, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060145801","display_name":"Rob M.P. Goverde","orcid":"https://orcid.org/0000-0001-8840-4488"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Rob M. P. Goverde","raw_affiliation_strings":["Department of Transport and Planning, Delft University of Technology, Delft, CN, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-8840-4488","affiliations":[{"raw_affiliation_string":"Department of Transport and Planning, Delft University of Technology, Delft, CN, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123251854","display_name":"Dongxiu Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiu Ou","raw_affiliation_strings":["College of Transportation, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Transportation, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.0775,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.94282367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"27","issue":"5","first_page":"5600","last_page":"5611"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9861999750137329,"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":0.9861999750137329,"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/T10842","display_name":"Railway Engineering and Dynamics","score":0.0015999999595806003,"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/T12984","display_name":"Transport and Logistics Innovations","score":0.0010000000474974513,"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/train","display_name":"Train","score":0.8895999789237976},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4593000113964081},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.459199994802475},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.4163999855518341},{"id":"https://openalex.org/keywords/electronic-stability-control","display_name":"Electronic stability control","score":0.4009000062942505},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.38769999146461487},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.3815999925136566},{"id":"https://openalex.org/keywords/automatic-train-control","display_name":"Automatic train control","score":0.3675999939441681},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.36340001225471497}],"concepts":[{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.8895999789237976},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.6176999807357788},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4593000113964081},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.459199994802475},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.4163999855518341},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.4113999903202057},{"id":"https://openalex.org/C207269410","wikidata":"https://www.wikidata.org/wiki/Q595839","display_name":"Electronic stability control","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3864000141620636},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.3815999925136566},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.37630000710487366},{"id":"https://openalex.org/C2779060153","wikidata":"https://www.wikidata.org/wiki/Q433719","display_name":"Automatic train control","level":3,"score":0.3675999939441681},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35100001096725464},{"id":"https://openalex.org/C119647976","wikidata":"https://www.wikidata.org/wiki/Q908492","display_name":"Braking distance","level":3,"score":0.3504999876022339},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C2780999251","wikidata":"https://www.wikidata.org/wiki/Q17022503","display_name":"Brake","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C127757376","wikidata":"https://www.wikidata.org/wiki/Q2056514","display_name":"Active safety","level":2,"score":0.33869999647140503},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3084999918937683},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C2987763966","wikidata":"https://www.wikidata.org/wiki/Q211382","display_name":"High speed train","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C2986897749","wikidata":"https://www.wikidata.org/wiki/Q231761","display_name":"Potential field","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C162380856","wikidata":"https://www.wikidata.org/wiki/Q580078","display_name":"Regenerative brake","level":3,"score":0.2955000102519989},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C2777735972","wikidata":"https://www.wikidata.org/wiki/Q1061967","display_name":"Platoon","level":3,"score":0.287200003862381},{"id":"https://openalex.org/C2992701429","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Rail transit","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C77338312","wikidata":"https://www.wikidata.org/wiki/Q3087415","display_name":"Threshold braking","level":3,"score":0.2603999972343445},{"id":"https://openalex.org/C2984780852","wikidata":"https://www.wikidata.org/wiki/Q3565868","display_name":"Rail transportation","level":2,"score":0.2581000030040741}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2026.3651914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2026.3651914","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4108760453","display_name":null,"funder_award_id":"52472328","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6993101663","display_name":null,"funder_award_id":"202206260136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G877614695","display_name":null,"funder_award_id":"52172329","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0,19],"response":[1],"to":[2,32,36,41,51,140,203],"the":[3,16,21,61,69,93,164,179,186,205,208],"growing":[4],"demand":[5],"for":[6,109,169],"rail":[7,172],"transport,":[8],"next-generation":[9],"signalling":[10],"systems":[11],"are":[12],"increasingly":[13],"investigated":[14],"by":[15],"railway":[17],"community.":[18],"particular,":[20],"concept":[22,67],"of":[23,60,74,129,163,192,207],"Virtual":[24],"Coupling":[25],"(VC)":[26],"is":[27,68,167],"progressively":[28],"gaining":[29],"ground":[30],"thanks":[31],"its":[33],"potential":[34],"ability":[35],"reduce":[37],"safe":[38,70,110,187],"train":[39,82,94,114,130,151,188,212],"separation":[40],"less":[42],"than":[43],"an":[44],"absolute":[45],"braking":[46,158],"distance.":[47],"That":[48],"enables":[49],"trains":[50,75],"move":[52],"synchronously":[53],"in":[54,76,92,150,174],"a":[55,77,101,124,135,170],"vehicle-to-vehicle":[56],"radio-connected":[57],"convoy.":[58],"One":[59],"major":[62],"concerns":[63],"associated":[64],"with":[65],"this":[66],"and":[71,84,95,111,153],"effective":[72,112],"control":[73,115,152,182],"convoy":[78],"when":[79,196],"considering":[80],"varying":[81],"resistances":[83],"risk":[85,144,197],"factors":[86],"due":[87],"to,":[88],"e.g.,":[89],"sudden":[90,156],"degradation":[91],"communication":[96],"performance.":[97],"This":[98],"paper":[99],"develops":[100],"novel":[102],"Predictive":[103],"Artificial":[104],"Potential":[105],"Field":[106],"(PAPF)":[107],"approach":[108,122],"real-time":[113],"under":[116],"realistic":[117,125],"VC":[118,211],"operations.":[119],"The":[120,200],"proposed":[121,180],"uses":[123],"homogeneous":[126],"strip":[127],"model":[128],"motion.":[131],"Moreover,":[132],"it":[133],"incorporates":[134],"dynamically":[136],"changing":[137],"safety":[138],"margin":[139],"take":[141],"into":[142],"account":[143],"factor":[145],"occurrences,":[146],"such":[147],"as":[148],"delays":[149],"communication,":[154],"or":[155],"emergency":[157,193],"applications.":[159],"A":[160],"simulation-based":[161],"assessment":[162],"developed":[165],"method":[166,201],"performed":[168],"high-speed":[171],"corridor":[173],"China.":[175],"Results":[176],"show":[177],"that":[178],"PAPF":[181],"algorithm":[183],"effectively":[184],"supervises":[185],"separation,":[189],"preventing":[190],"activation":[191],"brakes":[194],"even":[195],"events":[198],"occur.":[199],"contributes":[202],"advancing":[204],"state":[206],"art":[209],"on":[210],"control.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-08T13:12:06.581006","created_date":"2026-01-17T00:00:00"}
