{"id":"https://openalex.org/W4406793847","doi":"https://doi.org/10.1109/tase.2025.3534143","title":"Meal Delivery Routing Problem With a Hybrid Fleet of Riders and Autonomous Vehicles Under Dynamic Environment","display_name":"Meal Delivery Routing Problem With a Hybrid Fleet of Riders and Autonomous Vehicles Under Dynamic Environment","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406793847","doi":"https://doi.org/10.1109/tase.2025.3534143"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2025.3534143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3534143","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5047893103","display_name":"Zhishuo Liu","orcid":"https://orcid.org/0000-0002-6533-1877"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhishuo Liu","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076983154","display_name":"Xingquan Zuo","orcid":"https://orcid.org/0000-0001-9580-1182"},"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":"Xingquan Zuo","raw_affiliation_strings":["School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MengChu Zhou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101701795","display_name":"Bin Jia","orcid":"https://orcid.org/0000-0001-5071-2573"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Jia","raw_affiliation_strings":["School of System Science, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of System Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116019826","display_name":"Chongyang Xin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chongyang Xin","raw_affiliation_strings":["Meituan Company, Beijing, China","Meituan Co, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Meituan Company, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Meituan Co, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047893103"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":3.5622,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91364953,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"22","issue":null,"first_page":"11642","last_page":"11655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9916999936103821,"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"}},"topics":[{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9916999936103821,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9682000279426575,"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":0.9671000242233276,"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/routing","display_name":"Routing (electronic design automation)","score":0.5483697652816772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4951304495334625},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.4872261583805084},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.447787344455719},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.43048611283302307},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3968387842178345},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3486451506614685},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3357561230659485},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.25827282667160034}],"concepts":[{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5483697652816772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4951304495334625},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.4872261583805084},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.447787344455719},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.43048611283302307},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3968387842178345},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3486451506614685},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3357561230659485},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25827282667160034}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2025.3534143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3534143","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1421266124","display_name":null,"funder_award_id":"72171019; 61873040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1576619979","display_name":null,"funder_award_id":"U2333206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5097082024","display_name":null,"funder_award_id":"61873040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8842495008","display_name":null,"funder_award_id":"62476030","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1429802841","https://openalex.org/W1554727768","https://openalex.org/W2019567064","https://openalex.org/W2056375546","https://openalex.org/W2090366431","https://openalex.org/W2105002757","https://openalex.org/W2865164744","https://openalex.org/W2884381115","https://openalex.org/W2944299967","https://openalex.org/W2947601823","https://openalex.org/W2964290823","https://openalex.org/W2965368348","https://openalex.org/W3111763173","https://openalex.org/W3169762045","https://openalex.org/W3193830043","https://openalex.org/W3194152491","https://openalex.org/W4226254568","https://openalex.org/W4281732983","https://openalex.org/W4285203817","https://openalex.org/W4285604336","https://openalex.org/W4286256330","https://openalex.org/W4290849813","https://openalex.org/W4364322993","https://openalex.org/W4388469783","https://openalex.org/W4389417919","https://openalex.org/W4390086088","https://openalex.org/W4392204059","https://openalex.org/W4401691533"],"related_works":["https://openalex.org/W4312143452","https://openalex.org/W2018691209","https://openalex.org/W4247364272","https://openalex.org/W3133151256","https://openalex.org/W2157331354","https://openalex.org/W2132920749","https://openalex.org/W2101108574","https://openalex.org/W3175944335","https://openalex.org/W2062829680","https://openalex.org/W2516638161"],"abstract_inverted_index":{"Autonomous":[0],"vehicles":[1,8],"(AVs)":[2],"are":[3,181],"considered":[4],"as":[5],"next-generation":[6],"delivery":[7,142,207,241,254],"for":[9,127,152,184,322],"logistics":[10],"systems.":[11],"This":[12,248],"study":[13],"proposes":[14,250],"a":[15,22,44,83,169,245,251,258],"dynamic":[16,246,252],"Meal":[17],"Delivery":[18],"Routing":[19],"Problem":[20],"with":[21,129,173,257,262],"hybrid":[23,28,224,259],"Rider-AV":[24],"fleet":[25,29,225],"(MDRP-RA).":[26],"The":[27,63,223,284,325],"consists":[30],"of":[31,65,70,93,112,132,213,226,265,338],"riders":[32,52,115,229],"and":[33,76,79,149,175,195,219,228,280,294],"AVs.":[34],"Each":[35],"order":[36,67],"must":[37,272],"be":[38,49,59,97,273,328],"fulfilled":[39],"by":[40,51,61,275,278,282],"an":[41],"AV":[42,88],"or":[43,53,301],"rider.":[45],"Some":[46,270],"orders":[47,271],"can":[48,58,108,116,191,230,298,318,327],"delivered":[50,60,274],"AVs":[54,107,227,297],"only,":[55],"while":[56,114],"others":[57],"both.":[62,283],"food":[64,119,221,285],"each":[66,80,92],"is":[68,125,162,315],"one":[69],"three":[71,288],"product":[72,289],"segments":[73],"(regular,":[74],"frozen,":[75,293],"hot":[77,295],"food),":[78],"segment":[81],"has":[82,89],"particular":[84],"temperature":[85],"need.":[86],"An":[87,154,309],"multiple":[90],"compartments,":[91],"which":[94,317],"needs":[95,234],"to":[96,144,164,199,238,304,334],"cooled":[98],"(heated)":[99],"if":[100],"it":[101,190],"contains":[102],"frozen":[103],"(hot)":[104],"food.":[105,296],"Thus,":[106],"deliver":[109,117],"all":[110],"kinds":[111],"food,":[113],"regular":[118],"only.":[120],"A":[121],"mathematical":[122],"programming":[123],"model":[124],"established":[126],"MDRP-RA,":[128],"the":[130,134,138,185,211,239,263,267,306],"objective":[131,264],"minimizing":[133,266],"total":[135,268],"cost,":[136,141,148],"including":[137],"vehicle":[139],"fixed":[140],"fee":[143],"riders,":[145,276],"energy":[146],"consumption":[147],"penalty":[150],"cost":[151],"delay.":[153],"Adaptive":[155],"Large":[156],"Neighborhood":[157],"Search":[158],"based":[159],"Approach":[160],"(ALNS-A)":[161],"proposed":[163],"solve":[165,193],"MDRP-RA.":[166],"It":[167],"involves":[168],"local":[170],"search":[171],"procedure":[172],"removal":[174],"insertion":[176],"operators,":[177],"where":[178],"five":[179],"operators":[180],"specifically":[182],"devised":[183],"problem.":[186],"Experiments":[187],"show":[188],"that":[189],"effectively":[192],"MDRP-RA":[194],"outperforms":[196],"comparative":[197],"approaches.Note":[198],"Practitioners\u2014AVs":[200],"have":[201,210],"great":[202],"application":[203],"potential":[204],"in":[205,330],"meal":[206,240,253,339],"since":[208],"they":[209],"advantages":[212],"saving":[214],"labor":[215],"costs,":[216],"large":[217,311],"capacity,":[218],"maintaining":[220],"temperature.":[222,308],"meet":[231],"diversified":[232],"customer":[233],"but":[235],"brings":[236],"challenges":[237],"route":[242],"problem":[243,256,323],"under":[244],"environment.":[247],"paper":[249],"routing":[255],"rider-AV":[260],"fleet,":[261],"cost.":[269],"some":[277,281],"AVs,":[279],"falls":[286],"into":[287],"segments,":[290],"i.e.,":[291],"regular,":[292],"provide":[299,319],"cooling":[300],"auxiliary":[302],"heating":[303],"maintain":[305],"meal\u2019s":[307],"adaptive":[310],"neighborhood":[312],"search-based":[313],"approach":[314,326],"proposed,":[316],"high-quality":[320],"solutions":[321],"instances.":[324],"embedded":[329],"takeout":[331],"information":[332],"platforms":[333],"realize":[335],"intelligent":[336],"scheduling":[337],"delivery.":[340]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}