{"id":"https://openalex.org/W4367182105","doi":"https://doi.org/10.3390/a16050224","title":"A Branch-and-Price Algorithm for the Online Scheduling of Valet Drivers","display_name":"A Branch-and-Price Algorithm for the Online Scheduling of Valet Drivers","publication_year":2023,"publication_date":"2023-04-27","ids":{"openalex":"https://openalex.org/W4367182105","doi":"https://doi.org/10.3390/a16050224"},"language":"en","primary_location":{"id":"doi:10.3390/a16050224","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16050224","pdf_url":"https://www.mdpi.com/1999-4893/16/5/224/pdf?version=1682580169","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/16/5/224/pdf?version=1682580169","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100639046","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-9586-595X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081960668","display_name":"Zhi Pei","orcid":"https://orcid.org/0000-0001-6808-1490"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi Pei","raw_affiliation_strings":["College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081960668"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03697501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"5","first_page":"224","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9965999722480774,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7616263031959534},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6478856801986694},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.647632360458374},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6094774007797241},{"id":"https://openalex.org/keywords/column-generation","display_name":"Column generation","score":0.5154498219490051},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.48997512459754944},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.4631812572479248},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4549919068813324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37882885336875916},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3407362401485443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10661929845809937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10114455223083496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616263031959534},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6478856801986694},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.647632360458374},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6094774007797241},{"id":"https://openalex.org/C168956720","wikidata":"https://www.wikidata.org/wiki/Q3123181","display_name":"Column generation","level":2,"score":0.5154498219490051},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.48997512459754944},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.4631812572479248},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4549919068813324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37882885336875916},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3407362401485443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10661929845809937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10114455223083496}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a16050224","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16050224","pdf_url":"https://www.mdpi.com/1999-4893/16/5/224/pdf?version=1682580169","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0058162b30ad43a4b53a8c626242332a","is_oa":true,"landing_page_url":"https://doaj.org/article/0058162b30ad43a4b53a8c626242332a","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 16, Iss 5, p 224 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/16/5/224/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a16050224","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 16; Issue 5; Pages: 224","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a16050224","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a16050224","pdf_url":"https://www.mdpi.com/1999-4893/16/5/224/pdf?version=1682580169","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367182105.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W91965315","https://openalex.org/W1549544518","https://openalex.org/W1964715746","https://openalex.org/W1967965037","https://openalex.org/W1980402561","https://openalex.org/W1985290529","https://openalex.org/W1986070826","https://openalex.org/W1992202307","https://openalex.org/W2003419546","https://openalex.org/W2017383000","https://openalex.org/W2024362629","https://openalex.org/W2027862411","https://openalex.org/W2046858955","https://openalex.org/W2051358678","https://openalex.org/W2061573764","https://openalex.org/W2062114635","https://openalex.org/W2067038949","https://openalex.org/W2082546575","https://openalex.org/W2088322639","https://openalex.org/W2095535964","https://openalex.org/W2109721451","https://openalex.org/W2119500834","https://openalex.org/W2123621956","https://openalex.org/W2133264981","https://openalex.org/W2154756042","https://openalex.org/W2162446640","https://openalex.org/W2163265697","https://openalex.org/W2465172346","https://openalex.org/W2485769505","https://openalex.org/W2507355550","https://openalex.org/W2560329358","https://openalex.org/W2599954824","https://openalex.org/W2754129956","https://openalex.org/W2792987450","https://openalex.org/W2802328049","https://openalex.org/W2803403938","https://openalex.org/W2919234731","https://openalex.org/W3000311062","https://openalex.org/W3122956505","https://openalex.org/W3134000775","https://openalex.org/W3161895083","https://openalex.org/W3167342868","https://openalex.org/W3202065241","https://openalex.org/W4232385207","https://openalex.org/W6654405976","https://openalex.org/W6772646714","https://openalex.org/W6789559177","https://openalex.org/W6813736849"],"related_works":["https://openalex.org/W2765086890","https://openalex.org/W2069753236","https://openalex.org/W1973859074","https://openalex.org/W2149779860","https://openalex.org/W2568276500","https://openalex.org/W4386546585","https://openalex.org/W2934527968","https://openalex.org/W2580557022","https://openalex.org/W3152619227","https://openalex.org/W2089992496"],"abstract_inverted_index":{"In":[0,12],"the":[1,4,22,25,31,37,40,48,56,73,96,102,117,135,146,162,178,183,194,216,224,232,240,246],"present":[2],"paper,":[3],"online":[5,68,99],"valet":[6,18],"driving":[7,19,52],"problem":[8],"(OVDP)":[9],"is":[10,45,142,150,191,198],"studied.":[11],"this":[13,107],"problem,":[14],"customers":[15],"request":[16],"a":[17,66,123,129,138,153,170,208,236],"service":[20],"through":[21],"platform,":[23],"then":[24],"valets":[26,49],"arrive":[27],"on":[28,182,231],"e-bikes":[29],"at":[30],"designated":[32],"pickup":[33],"location":[34],"and":[35,84,91,101,127,169,228,234],"drive":[36],"vehicle":[38],"to":[39,46,54,144,176,245],"destination.":[41],"The":[42],"key":[43],"task":[44],"assign":[47],"effectively":[50],"for":[51],"orders":[53],"minimize":[55],"overall":[57],"cost.":[58],"To":[59,115,133],"serve":[60],"that":[61,71,193],"purpose,":[62],"we":[63,119,221],"first":[64],"propose":[65],"new":[67],"scheduling":[69,92,100,229],"strategy":[70],"divides":[72],"planning":[74],"horizon":[75],"into":[76,122],"several":[77],"rounds":[78],"with":[79,215,243],"fixed":[80],"length":[81],"of":[82,88,98,105,161,186,211,226,239],"time,":[83],"each":[85],"round":[86],"consists":[87],"pooling":[89,227],"time":[90,230,248],"time.":[93],"By":[94],"including":[95],"features":[97],"power":[103],"level":[104,210],"e-bikes,":[106],"OVDP":[108,233],"becomes":[109],"more":[110],"practical":[111],"but":[112,205],"nevertheless":[113],"challenging.":[114],"solve":[116],"OVDP,":[118],"formulate":[120],"it":[121,190],"set":[124],"partitioning":[125],"model":[126],"design":[128],"branch-and-price":[130],"(B&amp;P)":[131],"algorithm.":[132],"improve":[134],"computation":[136],"efficiency,":[137],"label":[139],"setting":[140],"algorithm":[141,163,197],"incorporated":[143],"address":[145],"pricing":[147,155],"subproblem,":[148],"which":[149],"accelerated":[151],"via":[152],"heuristic":[154,173],"method.":[156],"As":[157],"an":[158,165],"essential":[159],"part":[160],"design,":[164],"artificial":[166],"column":[167],"technique":[168],"greedy-based":[171],"constructive":[172],"are":[174],"implemented":[175],"obtain":[177],"initial":[179],"solution.":[180],"Based":[181],"numerical":[184],"analysis":[185],"various":[187],"scaled":[188],"instances,":[189],"verified":[192],"proposed":[195],"B&amp;P":[196],"not":[199],"only":[200],"effective":[201],"in":[202,213],"optimum":[203],"seeking,":[204],"also":[206,222],"shows":[207],"high":[209],"efficiency":[212],"comparison":[214],"off-the-shelf":[217],"commercial":[218],"solvers.":[219],"Furthermore,":[220],"explore":[223],"impact":[225],"discover":[235],"bowl-shaped":[237],"trend":[238],"objective":[241],"value":[242],"respect":[244],"two":[247],"lengths.":[249]},"counts_by_year":[],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}
