{"id":"https://openalex.org/W7137302364","doi":"https://doi.org/10.1109/itsc60802.2025.11423287","title":"Iterative Decision-Making in Reinforcement Learning for Ride-Sharing Optimization: A Joint Approach to Dispatching and Rebalancing","display_name":"Iterative Decision-Making in Reinforcement Learning for Ride-Sharing Optimization: A Joint Approach to Dispatching and Rebalancing","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7137302364","doi":"https://doi.org/10.1109/itsc60802.2025.11423287"},"language":null,"primary_location":{"id":"doi:10.1109/itsc60802.2025.11423287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-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/A5061329434","display_name":"Hyun Su Park","orcid":null},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Su Park","raw_affiliation_strings":["University of Seoul,Dept. of Transportation Engineering,Seoul,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Seoul,Dept. of Transportation Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049282170","display_name":"DongHwa Shin","orcid":"https://orcid.org/0000-0001-9460-809X"},"institutions":[{"id":"https://openalex.org/I161024014","display_name":"Kwangwoon University","ror":"https://ror.org/02e9zc863","country_code":"KR","type":"education","lineage":["https://openalex.org/I161024014"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"DongHwa Shin","raw_affiliation_strings":["KwangWoon University,Dept. of Computer Information Engineering,Seoul,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KwangWoon University,Dept. of Computer Information Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I161024014"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050766642","display_name":"Shin Hyoung Park","orcid":"https://orcid.org/0000-0003-3717-5907"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shin Hyoung Park","raw_affiliation_strings":["University of Seoul,Dept. of Transportation Engineering,Seoul,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Seoul,Dept. of Transportation Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I124633538"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062539457","display_name":"Shin-Hyung CHO","orcid":null},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shin-Hyung Cho","raw_affiliation_strings":["University of Seoul,Dept. of Transportation Engineering,Seoul,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Seoul,Dept. of Transportation Engineering,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I124633538"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56811075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2160","last_page":"2165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9307000041007996,"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":0.9307000041007996,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.01889999955892563,"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/T10768","display_name":"Electric Vehicles and Infrastructure","score":0.016699999570846558,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.541700005531311},{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.45559999346733093},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4205999970436096},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.3515999913215637},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3357999920845032},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3012000024318695},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.2806999981403351}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6115999817848206},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.541700005531311},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.45559999346733093},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4205999970436096},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3165000081062317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30250000953674316},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2556000053882599},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc60802.2025.11423287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5900066494941711}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1670384216","https://openalex.org/W2139988123","https://openalex.org/W2515943586","https://openalex.org/W2565919573","https://openalex.org/W2968301466","https://openalex.org/W2991046523","https://openalex.org/W3014141732","https://openalex.org/W3015295488","https://openalex.org/W3042024951","https://openalex.org/W3042585537","https://openalex.org/W3087141152","https://openalex.org/W3096362978","https://openalex.org/W3097856848","https://openalex.org/W3113088554","https://openalex.org/W3149032129","https://openalex.org/W3176172421","https://openalex.org/W3209329110","https://openalex.org/W4285102536","https://openalex.org/W4287186482","https://openalex.org/W4322618991","https://openalex.org/W4381251226","https://openalex.org/W4384937907","https://openalex.org/W4385539523","https://openalex.org/W4400491080"],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"a":[3,43],"reinforcement":[4],"learning":[5,129],"(RL)based":[6],"decision-making":[7],"framework":[8,17,64,125],"to":[9,82,105,146],"optimize":[10],"operations":[11],"in":[12,115,134],"ridesharing":[13],"(RS)":[14],"systems.":[15],"The":[16,69,124],"simultaneously":[18],"addresses":[19],"two":[20],"core":[21],"challenges:":[22],"passenger-vehicle":[23],"dispatching":[24],"and":[25,31,79,101,119,131,137,143],"idle":[26],"vehicle":[27],"rebalancing":[28,77,114],"under":[29],"dynamic":[30],"spatially":[32],"imbalanced":[33],"demand":[34,91],"conditions.":[35],"A":[36],"Deep":[37],"Q-Network":[38],"(DQN)":[39],"is":[40],"employed":[41],"within":[42],"centralized":[44],"architecture,":[45],"complemented":[46],"by":[47],"an":[48],"iterative":[49],"Q-valuebased":[50],"action":[51,67],"selection":[52],"strategy":[53],"that":[54,94],"accounts":[55],"for":[56],"inter-vehicle":[57],"dependencies.":[58],"To":[59],"enhance":[60],"computational":[61],"efficiency,":[62,74],"the":[63,95,111],"incorporates":[65],"feasibility-based":[66],"masking.":[68],"reward":[70],"function":[71],"integrates":[72],"operational":[73],"service":[75],"quality,":[76],"effectiveness,":[78],"environmental":[80],"sustainability":[81],"support":[83],"multi-objective":[84],"learning.":[85],"Experimental":[86],"results":[87],"across":[88],"four":[89],"spatial":[90],"scenarios":[92],"demonstrate":[93],"proposed":[96],"approach":[97],"improves":[98],"system":[99],"throughput":[100],"passenger":[102],"experience":[103],"compared":[104],"baseline":[106],"methods.":[107],"Additional":[108],"analysis":[109],"confirms":[110],"effectiveness":[112],"of":[113],"reducing":[116],"detour":[117],"time":[118],"increasing":[120],"request":[121],"acceptance":[122],"rates.":[123],"also":[126],"shows":[127],"robust":[128],"convergence":[130],"policy":[132],"generalization":[133],"both":[135],"single-":[136],"multivehicle":[138],"settings,":[139],"highlighting":[140],"its":[141],"scalability":[142],"practical":[144],"applicability":[145],"real-world,":[147],"large-scale":[148],"RS":[149],"environments.":[150]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-17T00:00:00"}