{"id":"https://openalex.org/W4415707204","doi":"https://doi.org/10.1109/tmc.2025.3626924","title":"Fairness-Aware Overtaking Decision Optimization for Mixed Connected and Connectionless Vehicles","display_name":"Fairness-Aware Overtaking Decision Optimization for Mixed Connected and Connectionless Vehicles","publication_year":2025,"publication_date":"2025-10-30","ids":{"openalex":"https://openalex.org/W4415707204","doi":"https://doi.org/10.1109/tmc.2025.3626924"},"language":null,"primary_location":{"id":"doi:10.1109/tmc.2025.3626924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3626924","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","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/A5062569234","display_name":"Hui Qian","orcid":"https://orcid.org/0009-0007-1691-0366"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Qian","raw_affiliation_strings":["School of Computer Science, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":"https://orcid.org/0009-0007-1691-0366","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061568038","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0001-5829-6850"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["School of Computer Science, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5829-6850","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003473167","display_name":"Xiongyan Tang","orcid":"https://orcid.org/0009-0000-2151-2679"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongyan Tang","raw_affiliation_strings":["Research Institute, China United Network Communications Corporation, Beijing, China","Research In stitute, China United Network Communications Corporation, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-2151-2679","affiliations":[{"raw_affiliation_string":"Research Institute, China United Network Communications Corporation, Beijing, China","institution_ids":["https://openalex.org/I6507939"]},{"raw_affiliation_string":"Research In stitute, China United Network Communications Corporation, Beijing, China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089032960","display_name":"Ammar Hawbani","orcid":"https://orcid.org/0000-0002-1069-3993"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ammar Hawbani","raw_affiliation_strings":["School of Computer Science, Shenyang Aerospace University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-1069-3993","affiliations":[{"raw_affiliation_string":"School of Computer Science, Shenyang Aerospace University, Shenyang, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046302634","display_name":"Xinzhou Cheng","orcid":"https://orcid.org/0009-0008-5005-9736"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhou Cheng","raw_affiliation_strings":["Research Institute, China United Network Communications Corporation, Beijing, China","Research In stitute, China United Network Communications Corporation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute, China United Network Communications Corporation, Beijing, China","institution_ids":["https://openalex.org/I6507939"]},{"raw_affiliation_string":"Research In stitute, China United Network Communications Corporation, Beijing, China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061307388","display_name":"Lexi Xu","orcid":"https://orcid.org/0000-0003-4338-7252"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lexi Xu","raw_affiliation_strings":["Research Institute, China United Network Communications Corporation, Beijing, China","Research In stitute, China United Network Communications Corporation, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4338-7252","affiliations":[{"raw_affiliation_string":"Research Institute, China United Network Communications Corporation, Beijing, China","institution_ids":["https://openalex.org/I6507939"]},{"raw_affiliation_string":"Research In stitute, China United Network Communications Corporation, Beijing, China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085493660","display_name":"Yuanguo Bi","orcid":"https://orcid.org/0000-0002-8424-8542"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanguo Bi","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, China","School of Computer Science and En gineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-8424-8542","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Computer Science and En gineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"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":0.34632515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"4","first_page":"5050","last_page":"5064"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.7684000134468079,"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":0.7684000134468079,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.12200000137090683,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.06270000338554382,"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/connectionless-communication","display_name":"Connectionless communication","score":0.8876000046730042},{"id":"https://openalex.org/keywords/overtaking","display_name":"Overtaking","score":0.8676000237464905},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4862000048160553},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47290000319480896},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.39089998602867126},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.38089999556541443},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.3725999891757965},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.35260000824928284},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.35109999775886536}],"concepts":[{"id":"https://openalex.org/C153043593","wikidata":"https://www.wikidata.org/wiki/Q727896","display_name":"Connectionless communication","level":3,"score":0.8876000046730042},{"id":"https://openalex.org/C2778448659","wikidata":"https://www.wikidata.org/wiki/Q1931051","display_name":"Overtaking","level":2,"score":0.8676000237464905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8235999941825867},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47290000319480896},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.39089998602867126},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.38089999556541443},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3725999891757965},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.35109999775886536},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33880001306533813},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31459999084472656},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.290800005197525},{"id":"https://openalex.org/C2778391309","wikidata":"https://www.wikidata.org/wiki/Q7832527","display_name":"Traffic simulation","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C178944661","wikidata":"https://www.wikidata.org/wiki/Q7832489","display_name":"Traffic conflict","level":4,"score":0.2809000015258789},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.27790001034736633},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2702000141143799},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C123370116","wikidata":"https://www.wikidata.org/wiki/Q1424540","display_name":"Tabu search","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.2529999911785126},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2025.3626924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2025.3626924","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G330008365","display_name":null,"funder_award_id":"62372310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5046278416","display_name":null,"funder_award_id":"XLYC2203151","funder_id":"https://openalex.org/F4320329895","funder_display_name":"Liaoning Revitalization Talents Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W3012437064","https://openalex.org/W3153676008","https://openalex.org/W3191298006","https://openalex.org/W3201412947","https://openalex.org/W3206563773","https://openalex.org/W4223633975","https://openalex.org/W4285247160","https://openalex.org/W4288063780","https://openalex.org/W4288064502","https://openalex.org/W4307722364","https://openalex.org/W4308157882","https://openalex.org/W4312803983","https://openalex.org/W4312974600","https://openalex.org/W4313419003","https://openalex.org/W4319159848","https://openalex.org/W4366957357","https://openalex.org/W4386003447","https://openalex.org/W4386736808","https://openalex.org/W4387150411","https://openalex.org/W4390480787","https://openalex.org/W4390874193","https://openalex.org/W4391807591","https://openalex.org/W4393216231","https://openalex.org/W4393241216","https://openalex.org/W4394018888","https://openalex.org/W4398157455","https://openalex.org/W4399490160","https://openalex.org/W4400645152"],"related_works":[],"abstract_inverted_index":{"In":[0],"intelligent":[1],"transportation":[2],"systems,":[3],"the":[4,25,35,42,53,70,156,270,275,289],"ability":[5],"to":[6,52,93,103,127,147],"make":[7],"precise":[8],"and":[9,21,30,41,58,82,107,133,162,179,197,205,215,278],"efficient":[10],"lane-changing":[11,66,281],"overtaking":[12,67,118,282],"decisions":[13,283],"is":[14,91,101,145],"essential":[15],"for":[16,122],"improving":[17,104,131,259],"traffic":[18,108,187,195,213,257,264],"flow,":[19],"safety,":[20],"overall":[22],"efficiency.":[23,109],"However,":[24],"coexistence":[26],"of":[27,38,46,55,72,97,280,291],"both":[28],"connected":[29],"non-connected":[31],"vehicles,":[32,74,99],"driven":[33],"by":[34,154,200],"high":[36],"cost":[37],"full":[39],"deployment":[40],"incomplete":[43],"global":[44],"adoption":[45],"standardized":[47],"communication":[48],"standards,":[49],"has":[50],"led":[51],"emergence":[54],"Mixed":[56],"Connected":[57],"Connectionless":[59],"Vehicles":[60],"(MCCV)":[61],"scenarios.":[62,265],"These":[63,190],"scenarios":[64],"complicate":[65],"decisions,":[68],"as":[69,251],"unpredictability":[71,290],"connectionless":[73],"particularly":[75],"in":[76,135,186,262,284],"dense":[77],"traffic,":[78],"poses":[79],"significant":[80],"challenges":[81],"increases":[83],"safety":[84,106,132,279],"risks.":[85],"Furthermore,":[86],"incorporating":[87],"fairness":[88,129,142,149,163],"into":[89],"decision-making":[90,260],"vital":[92],"ensure":[94],"equitable":[95],"treatment":[96],"all":[98],"which":[100,125,228],"key":[102],"road":[105],"To":[110],"address":[111],"these":[112],"challenges,":[113],"we":[114,166,218],"propose":[115],"a":[116,139,168,180,207,220,230],"fairness-aware":[117],"decision":[119],"optimization":[120],"method":[121,144,272],"MCCV":[123,285],"scenarios,":[124,286],"aims":[126],"enhance":[128,192],"while":[130],"efficiency":[134,199],"vehicle":[136,160,253],"decision-making.":[137],"First,":[138],"Bayesian":[140],"network-based":[141],"assessment":[143],"introduced":[146],"quantify":[148],"under":[150],"limited":[151],"data":[152],"conditions":[153,204],"modeling":[155],"probabilistic":[157],"relationships":[158],"between":[159],"behaviors":[161,254],"outcomes.":[164],"Second,":[165],"develop":[167],"left-lane":[169],"availability":[170],"detection":[171],"mechanism":[172,184],"based":[173,211],"on":[174,212],"adaptive":[175],"maneuver":[176],"tree":[177],"search":[178],"fast-lane":[181],"speed":[182,209],"recommendation":[183,210],"grounded":[185],"flow":[188],"analysis.":[189],"mechanisms":[191],"compliance":[193],"with":[194,236,244],"regulations":[196],"improve":[198],"dynamically":[201],"assessing":[202],"lane":[203],"providing":[206],"real-time":[208],"density":[214],"flow.":[216],"Finally,":[217],"incorporate":[219],"K-Nearest":[221],"Neighbor":[222],"(KNN)-enhanced":[223],"deep":[224,233],"reinforcement":[225],"learning":[226],"approach,":[227],"integrates":[229],"parameterized":[231],"dueling":[232],"recurrent":[234],"Q-network":[235],"KNN-enhanced":[237],"experience":[238],"replay.":[239],"This":[240],"approach":[241],"effectively":[242,287],"copes":[243],"rare":[245],"but":[246],"critical":[247],"driving":[248],"conditions,":[249],"such":[250],"unpredictable":[252],"or":[255],"sudden":[256],"dynamics,":[258],"reliability":[261],"various":[263],"Extensive":[266],"simulations":[267],"demonstrate":[268],"that":[269],"proposed":[271],"significantly":[273],"enhances":[274],"fairness,":[276],"efficiency,":[277],"addressing":[288],"mixed-vehicle":[292],"interactions.":[293]},"counts_by_year":[],"updated_date":"2026-03-09T07:00:12.390032","created_date":"2025-10-30T00:00:00"}