{"id":"https://openalex.org/W4293057840","doi":"https://doi.org/10.1109/mdm55031.2022.00031","title":"Effectively Relocating Ride-Hailing Drivers Using A Markov Decision Process with Dynamic Sharding","display_name":"Effectively Relocating Ride-Hailing Drivers Using A Markov Decision Process with Dynamic Sharding","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4293057840","doi":"https://doi.org/10.1109/mdm55031.2022.00031"},"language":"en","primary_location":{"id":"doi:10.1109/mdm55031.2022.00031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mdm55031.2022.00031","pdf_url":null,"source":{"id":"https://openalex.org/S4363608542","display_name":"2022 23rd IEEE International Conference on Mobile Data Management (MDM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 23rd IEEE International Conference on Mobile Data Management (MDM)","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/A5010418293","display_name":"Keru Chen","orcid":"https://orcid.org/0000-0001-7036-0253"},"institutions":[{"id":"https://openalex.org/I4210146998","display_name":"MOH Holdings","ror":"https://ror.org/052jm1735","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I4210146998"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Keru Chen","raw_affiliation_strings":["Grab Holdings Inc.,Singapore","Grab Holdings Inc., Singapore"],"affiliations":[{"raw_affiliation_string":"Grab Holdings Inc.,Singapore","institution_ids":["https://openalex.org/I4210146998"]},{"raw_affiliation_string":"Grab Holdings Inc., Singapore","institution_ids":["https://openalex.org/I4210146998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103132665","display_name":"Wentong Li","orcid":"https://orcid.org/0000-0002-2715-0995"},"institutions":[{"id":"https://openalex.org/I4210091804","display_name":"Biotronik (Singapore)","ror":"https://ror.org/00g9bca48","country_code":"SG","type":"company","lineage":["https://openalex.org/I4210091804","https://openalex.org/I4210161167"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wentong Li","raw_affiliation_strings":["TikTok Pte. Ltd.,Singapore","TikTok Pte. Ltd., Singapore"],"affiliations":[{"raw_affiliation_string":"TikTok Pte. Ltd.,Singapore","institution_ids":["https://openalex.org/I4210091804"]},{"raw_affiliation_string":"TikTok Pte. Ltd., Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021031547","display_name":"Michael Chirico","orcid":"https://orcid.org/0000-0003-0787-087X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Chirico","raw_affiliation_strings":["Google Inc.,United States","Google Inc., United States"],"affiliations":[{"raw_affiliation_string":"Google Inc.,United States","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc., United States","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000634517","display_name":"Tenindra Abeywickrama","orcid":"https://orcid.org/0000-0003-1053-2193"},"institutions":[{"id":"https://openalex.org/I4210146998","display_name":"MOH Holdings","ror":"https://ror.org/052jm1735","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I4210146998"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tenindra Abeywickrama","raw_affiliation_strings":["Grab Holdings Inc.,Singapore","Grab Holdings Inc., Singapore"],"affiliations":[{"raw_affiliation_string":"Grab Holdings Inc.,Singapore","institution_ids":["https://openalex.org/I4210146998"]},{"raw_affiliation_string":"Grab Holdings Inc., Singapore","institution_ids":["https://openalex.org/I4210146998"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010418293"],"corresponding_institution_ids":["https://openalex.org/I4210146998"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07859695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"72"},"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/T12392","display_name":"Sharing Economy and Platforms","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/relocation","display_name":"Relocation","score":0.9644099473953247},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.725055456161499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6239436268806458},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5904872417449951},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5902202129364014},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5408397912979126},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.5318970680236816},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.49413612484931946},{"id":"https://openalex.org/keywords/decision-process","display_name":"Decision process","score":0.4530104100704193},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4399130046367645},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.32856500148773193},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.26665371656417847},{"id":"https://openalex.org/keywords/process-management","display_name":"Process management","score":0.131172776222229},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13029450178146362}],"concepts":[{"id":"https://openalex.org/C2779019381","wikidata":"https://www.wikidata.org/wiki/Q3499564","display_name":"Relocation","level":2,"score":0.9644099473953247},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.725055456161499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6239436268806458},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5904872417449951},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5902202129364014},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5408397912979126},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.5318970680236816},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.49413612484931946},{"id":"https://openalex.org/C2984634286","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision process","level":2,"score":0.4530104100704193},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4399130046367645},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.32856500148773193},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.26665371656417847},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.131172776222229},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13029450178146362},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mdm55031.2022.00031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mdm55031.2022.00031","pdf_url":null,"source":{"id":"https://openalex.org/S4363608542","display_name":"2022 23rd IEEE International Conference on Mobile Data Management (MDM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 23rd IEEE International Conference on Mobile Data Management (MDM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.7099999785423279,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1982391657","https://openalex.org/W2025766355","https://openalex.org/W2115450697","https://openalex.org/W2132968912","https://openalex.org/W2138198492","https://openalex.org/W2538506242","https://openalex.org/W2757649114","https://openalex.org/W2998590388","https://openalex.org/W4214717370"],"related_works":["https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340","https://openalex.org/W187740018","https://openalex.org/W2162286586","https://openalex.org/W4255368532","https://openalex.org/W2914760492","https://openalex.org/W4378501524"],"abstract_inverted_index":{"A":[0],"good":[1],"relocation":[2,52,61],"strategy":[3],"for":[4,85,91],"drivers":[5,95],"engaging":[6],"in":[7],"ride-hailing":[8],"services":[9],"is":[10],"essential":[11],"to":[12,31,74,108,132],"meet":[13],"demand":[14,79],"as":[15,25],"and":[16,35,96],"where":[17,63],"it":[18],"arises.":[19],"Recent":[20],"work":[21],"has":[22],"modelled":[23],"this":[24,38,55],"a":[26,51,59,98],"Markov":[27],"Decision":[28],"Process":[29],"(MDP)":[30],"improve":[32],"driver":[33],"utilization":[34],"income.":[36],"However,":[37],"does":[39],"not":[40],"take":[41],"into":[42],"account":[43,90],"all":[44],"factors":[45],"that":[46,123],"affect":[47],"the":[48,68,72,82,86,104,110],"successfulness":[49],"of":[50,71,100],"strategy.":[53],"In":[54],"paper":[56],"we":[57,64],"propose":[58],"two-stage":[60],"strategy,":[62],"first":[65],"dynamically":[66],"compute":[67],"ideal":[69],"size":[70],"area":[73,107],"be":[75,128],"recommended":[76],"by":[77,130],"considering":[78],"density":[80],"before":[81],"MDP":[83],"solves":[84],"best":[87],"movement.":[88],"We":[89],"competition":[92],"from":[93,103,116],"other":[94],"select":[97],"series":[99],"representative":[101],"POIs":[102],"optimal":[105],"destination":[106],"guide":[109],"driver.":[111],"Simulations":[112],"using":[113],"real-world":[114],"data":[115],"cities":[117],"with":[118],"different":[119],"market":[120],"conditions":[121],"show":[122],"drivers'":[124],"expected":[125],"income":[126],"can":[127],"improved":[129],"up":[131],"27%.":[133]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}