{"id":"https://openalex.org/W3047052905","doi":"https://doi.org/10.1109/access.2020.3014076","title":"Dynamic Fleet Management With Rewriting Deep Reinforcement Learning","display_name":"Dynamic Fleet Management With Rewriting Deep Reinforcement Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3047052905","doi":"https://doi.org/10.1109/access.2020.3014076","mag":"3047052905"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3014076","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3014076","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09157835.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09157835.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037725670","display_name":"Wenqi Zhang","orcid":"https://orcid.org/0000-0002-4482-6715"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenqi Zhang","raw_affiliation_strings":["National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025187681","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-9392-475X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102839133","display_name":"Jingjing Li","orcid":"https://orcid.org/0000-0001-6631-0763"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Li","raw_affiliation_strings":["National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045480150","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0001-7527-0265"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Xu","raw_affiliation_strings":["National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037725670"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2195,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.79528794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"143333","last_page":"143341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":1.0,"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"}},{"id":"https://openalex.org/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12546","display_name":"Smart Parking Systems Research","score":0.9919999837875366,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8340722322463989},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7705944776535034},{"id":"https://openalex.org/keywords/fleet-management","display_name":"Fleet management","score":0.5830227732658386},{"id":"https://openalex.org/keywords/rewriting","display_name":"Rewriting","score":0.5383224487304688},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.47254133224487305},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4443328380584717},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36013251543045044},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3392876088619232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2740636467933655},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1400662064552307},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10403767228126526}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8340722322463989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7705944776535034},{"id":"https://openalex.org/C2777305159","wikidata":"https://www.wikidata.org/wiki/Q1430291","display_name":"Fleet management","level":2,"score":0.5830227732658386},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.5383224487304688},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.47254133224487305},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4443328380584717},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36013251543045044},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3392876088619232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2740636467933655},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1400662064552307},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10403767228126526},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3014076","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3014076","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09157835.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:61fa1c3406614c5e9c4d6bab8b6b6af1","is_oa":true,"landing_page_url":"https://doaj.org/article/61fa1c3406614c5e9c4d6bab8b6b6af1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 143333-143341 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3014076","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3014076","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09157835.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1959225175","display_name":null,"funder_award_id":"2018YFE0205503","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3047052905.pdf","grobid_xml":"https://content.openalex.org/works/W3047052905.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2103253102","https://openalex.org/W2165131254","https://openalex.org/W2523246573","https://openalex.org/W2606981059","https://openalex.org/W2626820647","https://openalex.org/W2754881344","https://openalex.org/W2794842204","https://openalex.org/W2808810245","https://openalex.org/W2893106831","https://openalex.org/W2938157874","https://openalex.org/W2951799221","https://openalex.org/W2952332632","https://openalex.org/W2956066740","https://openalex.org/W2964043796","https://openalex.org/W2964169391","https://openalex.org/W2968301466","https://openalex.org/W2985510430","https://openalex.org/W3003899243","https://openalex.org/W3014141732","https://openalex.org/W3106357768","https://openalex.org/W3106464996","https://openalex.org/W4214717370","https://openalex.org/W4295138992","https://openalex.org/W6685444567","https://openalex.org/W6692846177","https://openalex.org/W6727249380","https://openalex.org/W6730742100","https://openalex.org/W6748487558"],"related_works":["https://openalex.org/W2120204135","https://openalex.org/W2139396251","https://openalex.org/W1796293478","https://openalex.org/W4225571923","https://openalex.org/W3212257828","https://openalex.org/W2999580272","https://openalex.org/W4297873223","https://openalex.org/W3009457412","https://openalex.org/W2350784623","https://openalex.org/W2126211886"],"abstract_inverted_index":{"Inefficient":[0],"supply-demand":[1,26],"matching":[2],"makes":[3],"the":[4,14,25,53,95,111,118,124,129,137,143,166,170,174],"fleet":[5],"management":[6],"a":[7,37,67,74],"research":[8],"hotpot":[9],"in":[10,50,134,179],"ride-sharing":[11],"platforms.":[12],"With":[13],"booming":[15],"of":[16,115,142,168,177,181],"mobile":[17],"network":[18],"services,":[19],"it":[20],"is":[21,160],"promising":[22],"to":[23,45,52,58,109,122,162],"abate":[24],"gap":[27],"with":[28,55,85,128],"effective":[29,132],"vehicle":[30],"dispatching.":[31],"In":[32],"this":[33],"article,":[34],"we":[35],"propose":[36],"QRewriter":[38,75,119,152],"-":[39],"Dueling":[40,68],"Deep":[41,69],"Q-Network":[42,70],"(QRewriter-DDQN)":[43],"algorithm,":[44],"dispatch":[46],"multiple":[47],"available":[48],"vehicles":[49],"ahead":[51],"locations":[54],"high":[56],"demand":[57,105],"serve":[59],"more":[60],"orders.":[61],"The":[62],"QRewriter-DDQN":[63,178],"algorithm":[64],"factorizes":[65],"into":[66,154],"(DDQN)":[71],"module":[72,93,120],"and":[73,83,104,131,164],"module,":[76],"which":[77],"are":[78],"parameterized":[79],"by":[80,150],"neural":[81],"networks":[82],"Q-table":[84,133],"Reinforcement":[86],"Learning":[87],"(RL)":[88],"methods,":[89],"respectively.":[90],"Particularly,":[91],"DDQN":[92,125,144],"utilizes":[94],"Kullback-Leibler":[96],"(KL)":[97],"distribution":[98],"distance":[99],"between":[100],"supply":[101],"(available":[102],"vehicles)":[103],"(orders)":[106],"as":[107],"excitation":[108],"capture":[110],"complex":[112],"dynamic":[113],"variations":[114],"supply-demand.":[116],"Afterwards,":[117],"learns":[121],"improve":[123],"dispatching":[126,145],"policy":[127,146],"streamlined":[130],"RL.":[135],"Importantly,":[136],"higher":[138],"performance":[139,167],"improvement":[140,176],"space":[141],"can":[147],"be":[148],"obtained":[149],"aggregating":[151],"state":[153],"low-dimension":[155],"meta":[156],"state.":[157],"A":[158],"simulator":[159],"designed":[161],"train":[163],"test":[165],"QRewriter-DDQN,":[169],"experiment":[171],"results":[172],"show":[173],"significant":[175],"terms":[180],"order":[182],"response":[183],"rate.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}