{"id":"https://openalex.org/W7139926310","doi":"https://doi.org/10.48550/arxiv.2603.18919","title":"Quantum and classical approaches to the optimization of highway platooning: the two-vehicle matching problem","display_name":"Quantum and classical approaches to the optimization of highway platooning: the two-vehicle matching problem","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7139926310","doi":"https://doi.org/10.48550/arxiv.2603.18919"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.18919","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18919","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.18919","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074774984","display_name":"Chinonso Onah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Onah, Chinonso","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130217575","display_name":"Agneev Guin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guin, Agneev","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091043980","display_name":"Carsten Othmer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Othmer, Carsten","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130244315","display_name":"J. A. Monta\u00f1ez-Barrera","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Monta\u00f1ez-Barrera, J. A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5012093360","display_name":"Kristel Michielsen","orcid":"https://orcid.org/0000-0003-1444-4262"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michielsen, Kristel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9291999936103821,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10524","display_name":"Traffic control and management","score":0.9291999936103821,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.019600000232458115,"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":0.014700000174343586,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantum-annealing","display_name":"Quantum annealing","score":0.8539000153541565},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5935999751091003},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.5756000280380249},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5633000135421753},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5163999795913696},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.4887000024318695},{"id":"https://openalex.org/keywords/quadratic-unconstrained-binary-optimization","display_name":"Quadratic unconstrained binary optimization","score":0.47620001435279846},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.41769999265670776},{"id":"https://openalex.org/keywords/tabu-search","display_name":"Tabu search","score":0.39879998564720154}],"concepts":[{"id":"https://openalex.org/C90408235","wikidata":"https://www.wikidata.org/wiki/Q938141","display_name":"Quantum annealing","level":4,"score":0.8539000153541565},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6262999773025513},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5935999751091003},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.5756000280380249},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5633000135421753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5439000129699707},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5163999795913696},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4887000024318695},{"id":"https://openalex.org/C177179195","wikidata":"https://www.wikidata.org/wiki/Q7268372","display_name":"Quadratic unconstrained binary optimization","level":4,"score":0.47620001435279846},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.41769999265670776},{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.39879998564720154},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C13393347","wikidata":"https://www.wikidata.org/wiki/Q8424","display_name":"Aerodynamics","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C58053490","wikidata":"https://www.wikidata.org/wiki/Q176555","display_name":"Quantum computer","level":3,"score":0.35850000381469727},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35359999537467957},{"id":"https://openalex.org/C203087015","wikidata":"https://www.wikidata.org/wiki/Q378201","display_name":"Qubit","level":3,"score":0.3382999897003174},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33629998564720154},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2992999851703644},{"id":"https://openalex.org/C137019171","wikidata":"https://www.wikidata.org/wiki/Q2623817","display_name":"Quantum algorithm","level":3,"score":0.2939000129699707},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.18919","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18919","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.18919","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18919","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Aerodynamic":[0],"drag":[1],"reduction":[2],"on":[3],"highways":[4],"through":[5],"vehicle":[6],"platooning":[7],"is":[8],"a":[9,29,45,120],"well-known":[10],"concept,":[11],"but":[12,83],"it":[13],"has":[14],"not":[15,80],"yet":[16],"seen":[17],"systematic":[18],"uptake,":[19],"arguably":[20],"because":[21],"of":[22,69,135],"significant":[23],"technological":[24],"and":[25,56,67,99,128],"legislative":[26],"obstacles.":[27],"As":[28],"low-tech":[30],"entry":[31],"point":[32],"to":[33,48,109,131],"real":[34],"multi-vehicle":[35],"platooning,":[36],"\"Windbreaking-as-a-Service\"":[37],"(WaaS)":[38],"was":[39],"introduced":[40],"recently.":[41],"Here":[42],"we":[43],"use":[44],"QUBO":[46,118],"formulation":[47],"study":[49],"classical":[50,101],"metaheuristics":[51],"such":[52],"as":[53,119],"simulated":[54],"annealing":[55,66],"tabu":[57],"search,":[58],"together":[59],"with":[60],"emerging":[61],"quantum":[62,65],"heuristics":[63],"including":[64],"variants":[68],"the":[70,86,133],"Quantum":[71],"Approximate":[72],"Optimization":[73],"Algorithm":[74],"(QAOA).":[75],"These":[76],"heuristic":[77],"solvers":[78,130],"do":[79],"guarantee":[81],"optimality,":[82],"they":[84],"traverse":[85],"same":[87],"higher-order":[88],"landscape":[89],"using":[90],"polynomial":[91],"memory.":[92],"They":[93],"can":[94,103],"also":[95],"be":[96,104],"parallelized":[97],"aggressively,":[98],"efficient":[100],"post-processing":[102],"used":[105],"in":[106],"hybrid":[107,129],"workflows":[108],"return":[110],"only":[111],"valid":[112],"schedules.":[113],"This":[114],"paper":[115],"therefore":[116],"positions":[117],"common":[121],"language":[122],"that":[123],"allows":[124],"heterogeneous":[125],"classical,":[126],"quantum,":[127],"address":[132],"optimization":[134],"highway":[136],"platooning.":[137]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-21T00:00:00"}
