{"id":"https://openalex.org/W4410204301","doi":"https://doi.org/10.1109/tits.2025.3561034","title":"Reinforcement Learning for Dynamic Optimization of Eco-Driving in Smart Healthcare Transportation Networks","display_name":"Reinforcement Learning for Dynamic Optimization of Eco-Driving in Smart Healthcare Transportation Networks","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4410204301","doi":"https://doi.org/10.1109/tits.2025.3561034"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3561034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3561034","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":null,"display_name":"Wang Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I85430964","display_name":"Jinzhou Medical University","ror":"https://ror.org/02yd1yr68","country_code":"CN","type":"education","lineage":["https://openalex.org/I85430964"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wang Cai","raw_affiliation_strings":["Department of Obstetrics and Gynecology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Obstetrics and Gynecology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054274154","display_name":"Tomley Anwlnkom","orcid":null},"institutions":[{"id":"https://openalex.org/I39587148","display_name":"Wichita State University","ror":"https://ror.org/00c4e7y75","country_code":"US","type":"education","lineage":["https://openalex.org/I39587148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tomley Anwlnkom","raw_affiliation_strings":["College of Computer Science, Wichita State University, Wichita, KS, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Wichita State University, Wichita, KS, USA","institution_ids":["https://openalex.org/I39587148"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384170","display_name":"Lingling Zhang","orcid":"https://orcid.org/0009-0008-4425-7613"},"institutions":[{"id":"https://openalex.org/I121691239","display_name":"Beihua University","ror":"https://ror.org/013jjp941","country_code":"CN","type":"education","lineage":["https://openalex.org/I121691239"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Zhang","raw_affiliation_strings":["College of Computer Science and Technology, Beihua University, Jilin, China"],"raw_orcid":"https://orcid.org/0009-0008-4425-7613","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Beihua University, Jilin, China","institution_ids":["https://openalex.org/I121691239"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084680817","display_name":"Shakila Basheer","orcid":"https://orcid.org/0000-0001-9032-9560"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Shakila Basheer","raw_affiliation_strings":["College of Computer and Information Systems, Princess Nourah bint Abdulrahman University, P.O. Box 844428, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-9032-9560","affiliations":[{"raw_affiliation_string":"College of Computer and Information Systems, Princess Nourah bint Abdulrahman University, P.O. Box 844428, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059580100","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0002-0438-6006"},"institutions":[{"id":"https://openalex.org/I85430964","display_name":"Jinzhou Medical University","ror":"https://ror.org/02yd1yr68","country_code":"CN","type":"education","lineage":["https://openalex.org/I85430964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["Department of Pathology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0438-6006","affiliations":[{"raw_affiliation_string":"Department of Pathology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I85430964"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10774601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":"2","first_page":"2619","last_page":"2630"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.8590999841690063,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.8590999841690063,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8198777437210083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5278598666191101},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.45956000685691833},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3679400384426117},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3417925238609314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26870882511138916}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8198777437210083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5278598666191101},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.45956000685691833},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3679400384426117},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3417925238609314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26870882511138916}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2025.3561034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3561034","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"},{"id":"pmh:oai:soar.wichita.edu:10057/29855","is_oa":false,"landing_page_url":"https://hdl.handle.net/10057/29855","pdf_url":null,"source":{"id":"https://openalex.org/S4306401479","display_name":"Holmes Museum Of Anthropology (Wichita State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39587148","host_organization_name":"Wichita State University","host_organization_lineage":["https://openalex.org/I39587148"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G4647918274","display_name":null,"funder_award_id":"PNURSP2025R195","funder_id":"https://openalex.org/F4320322484","funder_display_name":"Princess Nourah Bint Abdulrahman University"}],"funders":[{"id":"https://openalex.org/F4320322484","display_name":"Princess Nourah Bint Abdulrahman University","ror":"https://ror.org/05b0cyh02"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2138720691","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Smart":[0],"transportation":[1,201],"networks":[2],"face":[3],"increasing":[4],"demands":[5,183],"for":[6,21,150,171],"efficiency":[7,219],"and":[8,23,79,101,125,184,207,217],"sustainability.":[9],"This":[10,195],"study":[11],"presents":[12],"a":[13,31,40,47,109],"reinforcement":[14,44],"learning":[15],"approach":[16,42],"that":[17,113,131],"optimizes":[18],"eco-driving":[19,67],"strategies":[20],"connected":[22],"automated":[24],"vehicles":[25],"(CAVs)":[26],"in":[27,210,220],"urban":[28,221],"environments,":[29],"with":[30,160],"particular":[32],"application":[33],"to":[34,56,83,93,115,138,141,169,180,198,203],"healthcare":[35,66,80,102,116,152,208,222],"logistics.":[36,223],"Specifically,":[37],"we":[38],"propose":[39],"novel":[41],"using":[43],"learning,":[45],"specifically":[46],"twin":[48],"delayed":[49],"deep":[50],"deterministic":[51],"policy":[52],"gradient":[53],"(TD3)":[54],"algorithm,":[55],"dynamically":[57],"optimize":[58],"CAV":[59],"trajectories":[60],"at":[61,191],"signalized":[62],"intersections.":[63],"The":[64,88,154],"proposed":[65],"trajectory":[68],"optimization":[69],"(TD3-HETO)":[70],"model":[71,107,155],"incorporates":[72],"real-time":[73],"traffic":[74,97,182,193],"conditions,":[75],"signal":[76,185],"timing":[77],"information,":[78],"urgency":[81],"levels":[82],"generate":[84],"optimal":[85],"acceleration":[86],"profiles.":[87],"reward":[89],"function":[90],"is":[91],"designed":[92],"balance":[94],"energy":[95,123,134],"efficiency,":[96],"flow,":[98],"safety,":[99],"comfort,":[100],"delivery":[103,126],"timeliness.":[104],"Additionally,":[105],"the":[106,172],"introduces":[108],"dynamic":[110],"exploration":[111],"strategy":[112],"adapts":[114],"task":[117],"urgency,":[118],"enabling":[119],"efficient":[120],"balancing":[121],"between":[122],"consumption":[124,135],"timelines.":[127],"Experimental":[128],"results":[129],"show":[130],"TD3-HETO":[132,175],"reduces":[133],"by":[136,148],"up":[137],"28.7%":[139],"compared":[140,168],"baseline":[142],"methods":[143],"while":[144],"improving":[145,214],"average":[146],"speeds":[147],"3.7%":[149],"urgent":[151],"deliveries.":[153],"achieves":[156],"superior":[157],"safety":[158],"performance":[159,189],"98.7%":[161],"of":[162],"time":[163],"steps":[164],"showing":[165],"zero":[166],"conflicts,":[167],"95.3%":[170],"best":[173],"baseline.":[174],"also":[176],"demonstrates":[177],"remarkable":[178],"adaptability":[179],"varying":[181],"timings,":[186],"maintaining":[187],"consistent":[188],"even":[190],"high":[192],"volumes.":[194],"research":[196],"contributes":[197],"developing":[199],"intelligent":[200],"systems":[202],"enhance":[204],"environmental":[205],"sustainability":[206],"accessibility":[209],"smart":[211],"cities,":[212],"potentially":[213],"patient":[215],"outcomes":[216],"operational":[218]},"counts_by_year":[],"updated_date":"2026-02-21T06:11:54.161237","created_date":"2025-10-10T00:00:00"}