{"id":"https://openalex.org/W4206408268","doi":"https://doi.org/10.1109/tits.2021.3135648","title":"Investigating Optimal Carpool Scheme by a Semi-Centralized Ride-Matching Approach","display_name":"Investigating Optimal Carpool Scheme by a Semi-Centralized Ride-Matching Approach","publication_year":2022,"publication_date":"2022-01-11","ids":{"openalex":"https://openalex.org/W4206408268","doi":"https://doi.org/10.1109/tits.2021.3135648"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2021.3135648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3135648","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":"https://openalex.org/A5101755827","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0003-3364-8770"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wang Peng","raw_affiliation_strings":["Department of Civil and Coastal Engineering, University of Florida (UF), Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Coastal Engineering, University of Florida (UF), Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048572787","display_name":"Lili Du","orcid":"https://orcid.org/0000-0003-1740-1209"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lili Du","raw_affiliation_strings":["Department of Civil and Coastal Engineering, University of Florida (UF), Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Coastal Engineering, University of Florida (UF), Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101755827"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":1.162,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.7571967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"23","issue":"9","first_page":"14990","last_page":"15004"},"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":0.9997000098228455,"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":0.995199978351593,"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/carpool","display_name":"Carpool","score":0.8755092024803162},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6875736713409424},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6759446859359741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6511443257331848},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5700735449790955},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5657837986946106},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5610748529434204},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5414204597473145},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.49560487270355225},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4263726770877838},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4108857810497284},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.27575820684432983},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2397061586380005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13637763261795044},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10878914594650269}],"concepts":[{"id":"https://openalex.org/C2780427980","wikidata":"https://www.wikidata.org/wiki/Q749649","display_name":"Carpool","level":2,"score":0.8755092024803162},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6875736713409424},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6759446859359741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6511443257331848},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5700735449790955},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5657837986946106},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5610748529434204},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5414204597473145},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.49560487270355225},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4263726770877838},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4108857810497284},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.27575820684432983},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2397061586380005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13637763261795044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10878914594650269},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2021.3135648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3135648","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G7168517273","display_name":null,"funder_award_id":"CMMI 1817346","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8189506152","display_name":null,"funder_award_id":"CMMI 1818526","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W562315414","https://openalex.org/W1601513562","https://openalex.org/W1670384216","https://openalex.org/W1975852288","https://openalex.org/W1977197605","https://openalex.org/W1982966841","https://openalex.org/W2011671531","https://openalex.org/W2012314327","https://openalex.org/W2027386473","https://openalex.org/W2031128290","https://openalex.org/W2047940964","https://openalex.org/W2048314949","https://openalex.org/W2066670588","https://openalex.org/W2073003110","https://openalex.org/W2077715727","https://openalex.org/W2082124504","https://openalex.org/W2095293504","https://openalex.org/W2137609793","https://openalex.org/W2144088320","https://openalex.org/W2145569785","https://openalex.org/W2289656154","https://openalex.org/W2516964143","https://openalex.org/W2790128575","https://openalex.org/W2912986242","https://openalex.org/W2971665894","https://openalex.org/W2991437286","https://openalex.org/W3009669424","https://openalex.org/W3037675691","https://openalex.org/W3116573272","https://openalex.org/W3122303788","https://openalex.org/W4231029117","https://openalex.org/W4242099633","https://openalex.org/W6615538275","https://openalex.org/W6787808370"],"related_works":["https://openalex.org/W1662797761","https://openalex.org/W4243346595","https://openalex.org/W1988779359","https://openalex.org/W2053291921","https://openalex.org/W2468155677","https://openalex.org/W2124847400","https://openalex.org/W2123648990","https://openalex.org/W4287077687","https://openalex.org/W4206408268","https://openalex.org/W3125271392"],"abstract_inverted_index":{"Carpooling":[0],"service":[1,63,85],"obtains":[2],"a":[3,49,67,78,89,125,132,139,145,159,165,171],"significant":[4],"interest":[5],"in":[6,131,144],"both":[7],"industry":[8],"and":[9,18,40,106],"academic":[10],"fields":[11],"for":[12,26,31,77],"its":[13],"potential":[14],"to":[15,47,54,82,93,115,120,169,205],"improve":[16],"mobility":[17],"save":[19],"travel":[20],"costs.":[21],"However,":[22],"the":[23,35,61,96,100,108,121,151,179,184,188,194,199,206],"existing":[24,207],"approaches":[25],"exploring":[27],"online":[28],"carpooling":[29,62,75,109,146],"routes":[30],"riders":[32,81,113,130,143],"struggle":[33],"with":[34,164],"trade-off":[36],"between":[37],"system":[38,84,152,200],"optimality":[39],"computation":[41,101,195],"efficiency.":[42],"This":[43],"study":[44],"is":[45],"motivated":[46],"develop":[48,158],"semi-centralized":[50],"ride-matching":[51,167],"strategy":[52],"(SCM)":[53],"address":[55,99],"this":[56],"difficulty.":[57],"Specifically,":[58],"we":[59,103,123,157],"model":[60,168],"problem":[64],"(CSP)":[65],"by":[66,87],"mixed-integer":[68],"programming":[69],"(CSP-MIP),":[70],"which":[71],"explores":[72],"an":[73],"optimal":[74,173],"solution":[76],"large-scale":[79,126],"of":[80,142],"minimize":[83],"time":[86],"using":[88],"small":[90,135,140],"CAV":[91],"fleet":[92],"serve":[94],"all":[95,129],"riders.":[97],"To":[98],"difficulty,":[102],"first":[104],"analyze":[105],"quantify":[107],"chances":[110],"(C2)":[111],"among":[112],"according":[114],"their":[116],"trip":[117],"features.":[118],"According":[119],"C2,":[122],"decompose":[124],"CSP-MIP":[127],"involving":[128],"network":[133,160,181],"into":[134],"sub-MIPs,":[136],"each":[137,155],"including":[138],"number":[141],"community,":[147],"without":[148],"over":[149],"sacrificing":[150],"optimality.":[153],"For":[154],"sub-MIP,":[156],"flow":[161],"algorithm":[162],"combined":[163],"greedy":[166],"explore":[170],"local":[172],"solution.":[174],"The":[175],"experiments":[176],"built":[177],"upon":[178],"Hardee":[180],"demonstrated":[182],"that":[183],"SCM":[185],"could":[186],"solve":[187],"CSP":[189],"efficiently.":[190],"It":[191],"significantly":[192],"improves":[193],"efficiency":[196],"while":[197],"maintaining":[198],"performance":[201],"as":[202],"it\u2019s":[203],"compared":[204],"approaches.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}