{"id":"https://openalex.org/W4407900468","doi":"https://doi.org/10.1109/jiot.2025.3545013","title":"Data-Empowered Trajectory Planning Based on Two-Phase Deep Reinforcement Learning Method","display_name":"Data-Empowered Trajectory Planning Based on Two-Phase Deep Reinforcement Learning Method","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407900468","doi":"https://doi.org/10.1109/jiot.2025.3545013"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3545013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3545013","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5057351252","display_name":"Peng Yin","orcid":"https://orcid.org/0000-0003-4968-1436"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yin Peng","raw_affiliation_strings":["University of Chinese Academy of Sciences and the Defence Industry Secrecy Examination Certification Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences and the Defence Industry Secrecy Examination Certification Center, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348074","display_name":"Yiwei Liu","orcid":"https://orcid.org/0000-0001-5260-8315"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiwei Liu","raw_affiliation_strings":["Military Industry Confidential Qualification Examination and Certification Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Military Industry Confidential Qualification Examination and Certification Center, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078782419","display_name":"Linye Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linye Wang","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101302917","display_name":"Yizheng Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yizheng Ge","raw_affiliation_strings":["Military Industry Confidential Qualification Examination and Certification Center, China"],"raw_orcid":"https://orcid.org/0000-0001-5908-8113","affiliations":[{"raw_affiliation_string":"Military Industry Confidential Qualification Examination and Certification Center, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076280527","display_name":"Weihao Yan","orcid":"https://orcid.org/0000-0002-7838-0790"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weihao Yan","raw_affiliation_strings":["Military Industry Confidential Qualification Examination and Certification Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Military Industry Confidential Qualification Examination and Certification Center, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jihua Lu","orcid":"https://orcid.org/0000-0001-8061-4907"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihua Lu","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-8061-4907","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018402573","display_name":"Lihui Feng","orcid":"https://orcid.org/0000-0001-9171-8998"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihui Feng","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-9171-8998","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100876466","display_name":"Yufan Du","orcid":"https://orcid.org/0009-0004-9623-5150"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufan Du","raw_affiliation_strings":["Beijing Institute of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5057351252"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":3.3997,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91340582,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9589999914169312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9589999914169312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9297999739646912,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9251999855041504,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.788857638835907},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7483569383621216},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7462184429168701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5391777753829956},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.47385743260383606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3243725299835205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.788857638835907},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7483569383621216},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7462184429168701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5391777753829956},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.47385743260383606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3243725299835205},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/jiot.2025.3545013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3545013","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3983818167","display_name":null,"funder_award_id":"61675025","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":30,"referenced_works":["https://openalex.org/W2107941094","https://openalex.org/W2746553466","https://openalex.org/W2891371323","https://openalex.org/W3013960924","https://openalex.org/W3041174663","https://openalex.org/W3170357314","https://openalex.org/W3171715134","https://openalex.org/W3176038816","https://openalex.org/W4206111066","https://openalex.org/W4295700726","https://openalex.org/W4311567780","https://openalex.org/W4312415945","https://openalex.org/W4312688242","https://openalex.org/W4312986669","https://openalex.org/W4313593056","https://openalex.org/W4313855634","https://openalex.org/W4318483688","https://openalex.org/W4319266076","https://openalex.org/W4319721356","https://openalex.org/W4377008028","https://openalex.org/W4379801107","https://openalex.org/W4381050525","https://openalex.org/W4382317190","https://openalex.org/W4383853413","https://openalex.org/W4385151905","https://openalex.org/W4386088207","https://openalex.org/W4386453810","https://openalex.org/W4386590944","https://openalex.org/W4387068045","https://openalex.org/W4389474153"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Existing":[0],"trajectory":[1,22,79,117],"planning":[2,23,87,118],"methods":[3],"for":[4,64,72],"distributed":[5],"unmanned":[6,144],"systems":[7],"are":[8,159],"limited":[9],"and":[10,33,95,105,121,133,148,168,180,188],"constrained":[11],"by":[12,91],"data-empowered":[13],"information":[14],"from":[15,44],"environments.":[16],"A":[17],"deep":[18,67],"reinforcement":[19],"learning-based":[20],"two-phase":[21],"method":[24,132,158],"is":[25,70,89,99,146,151,172],"proposed,":[26],"including":[27],"the":[28,40,45,48,60,86,113,129,141,157,162],"mission":[29,34,61],"transition":[30,139],"phase":[31,36],"(MTP)":[32],"maintenance":[35],"(MMP).":[37],"During":[38],"MTP,":[39],"mobile":[41],"node":[42],"transfers":[43],"current":[46],"to":[47,77,112,128],"target":[49],"position":[50],"while":[51],"avoiding":[52],"obstacles.":[53],"Meanwhile,":[54],"assisted":[55],"communication":[56,170],"among":[57],"nodes":[58],"in":[59,161,178],"area":[62],"exists":[63],"MMP.":[65],"The":[66,81],"learning":[68],"model":[69,83],"designed":[71],"these":[73],"two":[74],"phases,":[75],"respectively,":[76],"realize":[78],"planning.":[80],"optimal":[82,130],"that":[84],"improves":[85],"reward":[88],"obtained":[90],"using":[92],"experience":[93],"pools":[94],"sampling.":[96],"Further,":[97],"it":[98],"capable":[100],"of":[101,137,143,156,164,184],"dealing":[102],"with":[103,174],"complex":[104],"high-dimensional":[106],"optimization":[107,187],"as":[108,110],"well":[109],"adapting":[111],"dynamic":[114],"environment,":[115],"making":[116],"more":[119],"accurate":[120],"efficient.":[122],"By":[123],"consuming":[124],"similar":[125],"time":[126,135],"steps":[127,136],"path":[131],"1/3":[134],"coordinate":[138],"methods,":[140],"safety":[142],"system":[145],"guaranteed":[147],"energy":[149],"consumption":[150],"reduced.":[152],"Moreover,":[153],"obvious":[154],"advantages":[155],"illustrated":[160],"deployment":[163],"large-scale":[165],"network":[166],"scenes":[167],"auxiliary":[169],"task":[171],"fulfilled":[173],"simplified":[175],"processes,":[176],"resulting":[177],"2/3":[179],"1/4":[181],"computation":[182],"complexities":[183],"particle":[185],"swarm":[186],"scanning":[189],"methods.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
