{"id":"https://openalex.org/W7165657324","doi":"https://doi.org/10.48550/arxiv.2606.22055","title":"Multi-Target Maneuver Coordinations: Unlocking Coordination Opportunities in Connected Automated Driving","display_name":"Multi-Target Maneuver Coordinations: Unlocking Coordination Opportunities in Connected Automated Driving","publication_year":2026,"publication_date":"2026-06-20","ids":{"openalex":"https://openalex.org/W7165657324","doi":"https://doi.org/10.48550/arxiv.2606.22055"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.22055","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.22055","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":null,"license_id":null,"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.2606.22055","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076934442","display_name":"Rafael Molina-Masegosa","orcid":"https://orcid.org/0000-0003-4846-0674"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Molina-Masegosa, Rafael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089129333","display_name":"Sergei S. Avedisov","orcid":"https://orcid.org/0000-0002-1829-6677"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Avedisov, Sergei S.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013555492","display_name":"Miguel Sepulcre","orcid":"https://orcid.org/0000-0003-0064-0772"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sepulcre, Miguel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024670505","display_name":"Takayuki Shimizu","orcid":"https://orcid.org/0000-0002-1068-8510"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shimizu, Takayuki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139187149","display_name":"Javier Gozalvez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gozalvez, Javier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139200647","display_name":"Onur Altintas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Altintas, Onur","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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.3091999888420105,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.3091999888420105,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.22030000388622284,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.13860000669956207,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6420000195503235},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6294999718666077},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6172000169754028},{"id":"https://openalex.org/keywords/coordination-game","display_name":"Coordination game","score":0.5310999751091003},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.43799999356269836},{"id":"https://openalex.org/keywords/negotiation","display_name":"Negotiation","score":0.42750000953674316},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.3463999927043915}],"concepts":[{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6420000195503235},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6294999718666077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6186000108718872},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6172000169754028},{"id":"https://openalex.org/C107257861","wikidata":"https://www.wikidata.org/wiki/Q656316","display_name":"Coordination game","level":2,"score":0.5310999751091003},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.43799999356269836},{"id":"https://openalex.org/C199776023","wikidata":"https://www.wikidata.org/wiki/Q202875","display_name":"Negotiation","level":2,"score":0.42750000953674316},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3463999927043915},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.30219998955726624},{"id":"https://openalex.org/C22607594","wikidata":"https://www.wikidata.org/wiki/Q5375150","display_name":"Enabling","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2964000105857849},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2962999939918518},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2606000006198883},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2565000057220459},{"id":"https://openalex.org/C2780917649","wikidata":"https://www.wikidata.org/wiki/Q5168030","display_name":"Coordination failure","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.22055","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.22055","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.22055","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.22055","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.7181281447410583,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Maneuver":[0],"coordination":[1,33,45,52,69,77,91,117,153],"is":[2],"a":[3,35,50,60,72,105,127,143],"key":[4],"enabler":[5],"of":[6,44,108,142,146],"connected":[7],"and":[8,15,28,64,121],"automated":[9],"driving,":[10],"allowing":[11],"vehicles":[12,70,102],"to":[13,62,82,88,103],"negotiate":[14],"execute":[16],"maneuvers":[17],"that":[18,114],"would":[19],"otherwise":[20],"be":[21],"difficult,":[22],"inefficient":[23],"or":[24,87],"unsafe.":[25],"Existing":[26],"approaches":[27],"use":[29],"cases":[30],"typically":[31],"assume":[32],"with":[34],"single":[36],"predefined":[37],"target":[38,148],"vehicle,":[39],"which":[40,58],"limits":[41],"the":[42,83,89,96,132,140],"number":[43,145],"opportunities.":[46],"This":[47],"paper":[48],"introduces":[49],"maneuver":[51,76,84,116,159],"approach":[53,134],"based":[54],"on":[55],"multi-target":[56,115],"selection,":[57],"allows":[59],"vehicle":[61],"identify":[63],"select":[65],"among":[66],"multiple":[67],"potential":[68,147],"for":[71],"given":[73],"maneuver.":[74],"Multi-target":[75],"does":[78],"not":[79],"require":[80],"modifications":[81],"execution":[85],"logic":[86],"underlying":[90],"protocol.":[92],"Instead,":[93],"it":[94],"extends":[95],"decision-making":[97],"process":[98],"preceding":[99],"coordination,":[100],"enabling":[101,157],"exploit":[104],"broader":[106],"set":[107],"feasible":[109],"cooperative":[110],"interactions.":[111],"Results":[112],"show":[113],"significantly":[118],"increases":[119],"triggered":[120],"successfully":[122],"executed":[123],"coordinations":[124],"while":[125,156],"maintaining":[126],"low":[128],"computational":[129],"cost,":[130],"as":[131],"proposed":[133],"achieves":[135],"these":[136],"gains":[137],"without":[138],"requiring":[139],"analysis":[141],"large":[144],"vehicles.":[149],"These":[150],"improvements":[151],"preserve":[152],"success":[154],"rates":[155],"earlier":[158],"initiation.":[160]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-24T00:00:00"}