{"id":"https://openalex.org/W4394712701","doi":"https://doi.org/10.1109/ricai60863.2023.10489602","title":"A Game-Theory Based Collision-Avoidance Solution for Two Automated Vehicles in Lane-Reduction Scenario","display_name":"A Game-Theory Based Collision-Avoidance Solution for Two Automated Vehicles in Lane-Reduction Scenario","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4394712701","doi":"https://doi.org/10.1109/ricai60863.2023.10489602"},"language":"en","primary_location":{"id":"doi:10.1109/ricai60863.2023.10489602","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ricai60863.2023.10489602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)","raw_type":"proceedings-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/A5064207072","display_name":"Zhiyong Zhang","orcid":"https://orcid.org/0000-0003-2272-9276"},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Suzhou University of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Zhang","raw_affiliation_strings":["School of Mathematics and Statistics, Changshu Institute of Technology,Suzhou,China","School of Mathematics and Statistics, Changshu Institute of Technology, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Changshu Institute of Technology,Suzhou,China","institution_ids":["https://openalex.org/I21741975"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Changshu Institute of Technology, Suzhou, China","institution_ids":["https://openalex.org/I21741975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087548052","display_name":"Yang Wu","orcid":"https://orcid.org/0000-0002-0258-4842"},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Suzhou University of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wu","raw_affiliation_strings":["School of Mathematics and Statistics, Changshu Institute of Technology,Suzhou,China","School of Mathematics and Statistics, Changshu Institute of Technology, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Changshu Institute of Technology,Suzhou,China","institution_ids":["https://openalex.org/I21741975"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Changshu Institute of Technology, Suzhou, China","institution_ids":["https://openalex.org/I21741975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101657296","display_name":"Fengdan Xu","orcid":"https://orcid.org/0000-0002-6113-872X"},"institutions":[{"id":"https://openalex.org/I21741975","display_name":"Suzhou University of Technology","ror":"https://ror.org/05g6ben79","country_code":"CN","type":"education","lineage":["https://openalex.org/I21741975"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengdan Xu","raw_affiliation_strings":["School of Mathematics and Statistics, Changshu Institute of Technology,Suzhou,China","School of Mathematics and Statistics, Changshu Institute of Technology, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Changshu Institute of Technology,Suzhou,China","institution_ids":["https://openalex.org/I21741975"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Changshu Institute of Technology, Suzhou, China","institution_ids":["https://openalex.org/I21741975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22940794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"688","last_page":"693"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980000257492065,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9980000257492065,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9961000084877014,"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/T10524","display_name":"Traffic control and management","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.8750981688499451},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.728195071220398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6430171728134155},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.624244749546051},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.4977739155292511},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4082053601741791},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.24768999218940735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10789674520492554},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.07930001616477966}],"concepts":[{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.8750981688499451},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.728195071220398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6430171728134155},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.624244749546051},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.4977739155292511},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4082053601741791},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.24768999218940735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10789674520492554},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.07930001616477966},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ricai60863.2023.10489602","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ricai60863.2023.10489602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5352797390","display_name":"\u57fa\u4e8e\u535a\u5f08\u8bba\u7684\u81ea\u52a8\u9a7e\u9a76\u8f66\u8f86\u95f4\u7684\u8def\u6743\u51b2\u7a81\u7814\u7a76","funder_award_id":"61773003","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":8,"referenced_works":["https://openalex.org/W206679605","https://openalex.org/W2810449088","https://openalex.org/W3011888019","https://openalex.org/W3165330780","https://openalex.org/W3165538189","https://openalex.org/W4210321623","https://openalex.org/W4315781029","https://openalex.org/W4377014969"],"related_works":["https://openalex.org/W2889566344","https://openalex.org/W4317634134","https://openalex.org/W2981729160","https://openalex.org/W2743212448","https://openalex.org/W4310743282","https://openalex.org/W3113932901","https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W3005999311","https://openalex.org/W3042530408"],"abstract_inverted_index":{"Automated":[0],"Vehicles":[1,15],"(AVs)":[2],"must":[3],"be":[4],"able":[5],"to":[6,35,54,99,161,196,223,227],"avoid":[7,233],"the":[8,37,56,83,91,100,108,122,127,157,163,185,197,203,206,209,215,224,229,238],"collision":[9,118],"between":[10,41,59,77,87,132,165],"two":[11,26,30,42,60,78,88,133,166,189],"vehicles,":[12],"like":[13],"Manual":[14],"(MVs)":[16],"do,":[17],"in":[18,62,136],"lane-reduction":[19,63],"scenario":[20],"(a":[21],"special":[22],"lane-change":[23],"case)":[24],"where":[25,90,214],"lanes":[27],"converge":[28],"and":[29,112,232,245],"traffic":[31],"flows":[32],"merge,":[33],"i.e.,":[34,208,236],"resolve":[36,55,228],"right-of-way":[38],"(RoW)":[39],"conflict":[40,58,76,131,231],"vehicle-users":[43],"(assume":[44],"only":[45],"one":[46],"user":[47],"per":[48],"vehicle).":[49],"Aimed":[50],"at":[51],"programing":[52],"AVs":[53,61,134],"RoW":[57,75,95,98,130,160,219,230],"scenario,":[64],"we":[65,71,124,145,178,201],"do":[66],"jobs":[67],"as":[68],"follows:":[69],"(i)":[70],"affirm":[72],"that":[73,126],"a":[74,180],"MVs":[79],"is":[80,96,220],"solved":[81],"by":[82],"implicit":[84],"game-theoretic":[85,137],"negotiation":[86,149],"users,":[89],"user\u2014whose":[92],"demand":[93,217],"for":[94,129,174,192,218],"weaker-yield":[97],"other":[101,225],"user,":[102],"meeting":[103],"an":[104,147],"user's":[105],"self-interest":[106,244],"(on":[107,117],"priority":[109,158],"of":[110,156,159,171,182,184,205,241],"RoW)":[111],"both":[113,246],"users'":[114],"mutual":[115,248],"interest":[116],"avoidance);":[119],"derived":[120],"from":[121],"insight,":[123],"clarify":[125],"solution":[128],"lies":[135],"methods":[138],"following":[139],"distributed/interactive":[140],"multi-agent":[141],"decision-making":[142],"paradigm;":[143],"(ii)":[144],"propose":[146],"explicit":[148],"model":[150],"(i.e.,":[151,169],"2-player":[152],"non-zero-sum":[153],"game":[154],"model)":[155],"formalize":[162],"interaction/interdependence":[164],"AVs'":[167],"decision-makings":[168],"choices":[170],"velocity-adjusting":[172,212],"action":[173],"AV-users'":[175,190,247],"self/mutual-interests);":[176],"(iii)":[177],"design/prescribe":[179],"kind":[181],"joint-payoff":[183],"game,":[186,207],"which":[187],"quantifies":[188],"demands":[191],"RoW,":[193],"thus":[194],"leads":[195],"Nash-equilibrium(ria)":[198,204],"solution(s);":[199],"(iv)":[200],"compute":[202],"optimal":[210],"(anti-coordinative)":[211],"joint-action(s)":[213],"AV-user\u2014whose":[216],"weaker\u2014yield":[221],"Row":[222],"AV-user,":[226],"any":[234],"collision,":[235],"realize":[237],"joint":[239],"maximization":[240],"each":[242],"AV-user's":[243],"interest.":[249]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}