{"id":"https://openalex.org/W4210550369","doi":"https://doi.org/10.1109/globecom46510.2021.9685116","title":"Adaptive Vehicle Platooning with Joint Network-Traffic Approach","display_name":"Adaptive Vehicle Platooning with Joint Network-Traffic Approach","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4210550369","doi":"https://doi.org/10.1109/globecom46510.2021.9685116"},"language":"en","primary_location":{"id":"doi:10.1109/globecom46510.2021.9685116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685116","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","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/A5068050119","display_name":"Chinmay Mahabal","orcid":"https://orcid.org/0000-0001-8201-5561"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chinmay Mahabal","raw_affiliation_strings":["University of Massachusetts Dartmouth"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Dartmouth","institution_ids":["https://openalex.org/I100633361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084745600","display_name":"Hua Fang","orcid":"https://orcid.org/0000-0002-5026-1132"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hua Fang","raw_affiliation_strings":["University of Massachusetts Dartmouth"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Dartmouth","institution_ids":["https://openalex.org/I100633361"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419573","display_name":"Honggang Wang","orcid":"https://orcid.org/0000-0001-9475-2630"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Honggang Wang","raw_affiliation_strings":["University of Massachusetts Dartmouth"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Dartmouth","institution_ids":["https://openalex.org/I100633361"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007428030","display_name":"Qing Yang","orcid":"https://orcid.org/0000-0002-0683-5848"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Yang","raw_affiliation_strings":["University of North Texas"],"affiliations":[{"raw_affiliation_string":"University of North Texas","institution_ids":["https://openalex.org/I123534392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068050119"],"corresponding_institution_ids":["https://openalex.org/I100633361"],"apc_list":null,"apc_paid":null,"fwci":0.4371,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53511084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"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":0.9998999834060669,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/platoon","display_name":"Platoon","score":0.9787183403968811},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6192284822463989},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.43306222558021545},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3796330690383911},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3481305241584778},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27218157052993774},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.18964210152626038},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.10633093118667603}],"concepts":[{"id":"https://openalex.org/C2777735972","wikidata":"https://www.wikidata.org/wiki/Q1061967","display_name":"Platoon","level":3,"score":0.9787183403968811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6192284822463989},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.43306222558021545},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3796330690383911},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3481305241584778},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27218157052993774},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.18964210152626038},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.10633093118667603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom46510.2021.9685116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom46510.2021.9685116","pdf_url":null,"source":{"id":"https://openalex.org/S4363607714","display_name":"2021 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7119645097","display_name":null,"funder_award_id":"2010366,2010332,2140729","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1491722231","https://openalex.org/W1981791861","https://openalex.org/W2004105411","https://openalex.org/W2039179457","https://openalex.org/W2104984283","https://openalex.org/W2107556430","https://openalex.org/W2114981118","https://openalex.org/W2142061350","https://openalex.org/W2622324466","https://openalex.org/W2661568310","https://openalex.org/W2735837047","https://openalex.org/W2752213972","https://openalex.org/W2782199856","https://openalex.org/W2789533128","https://openalex.org/W2901504064","https://openalex.org/W2919875875","https://openalex.org/W2964658936","https://openalex.org/W2970518786","https://openalex.org/W2987290432","https://openalex.org/W3036322372","https://openalex.org/W3046278836","https://openalex.org/W3081596798","https://openalex.org/W3102129050","https://openalex.org/W6645704285","https://openalex.org/W6676000955","https://openalex.org/W6740884540"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4286572054","https://openalex.org/W2555207388","https://openalex.org/W2163875247","https://openalex.org/W4388855948","https://openalex.org/W4389544977","https://openalex.org/W4385236313","https://openalex.org/W3006156193","https://openalex.org/W3109067418"],"abstract_inverted_index":{"The":[0,21,60,95,115,178],"Intelligent":[1],"Transportation":[2],"System":[3],"has":[4],"become":[5],"one":[6],"of":[7,30,97,160],"the":[8,28,46,50,72,81,85,98,124,145,158,161,164,168,175,183,188,192],"most":[9],"globally":[10],"researched":[11],"topics,":[12],"with":[13],"Connected":[14],"and":[15,37,53,77,93,120,133,140,150,153],"Autonomous":[16],"Vehicles(CAV)":[17],"at":[18],"its":[19],"core.":[20],"CAV":[22],"applications":[23],"can":[24],"be":[25,67],"improved":[26],"by":[27],"study":[29],"vehicle":[31,134,154,162,184],"platooning":[32],"immune":[33],"to":[34,48,66,75,181],"real-time":[35],"traffic":[36,169,194],"vehicular":[38],"network":[39,127,146],"losses.":[40],"In":[41],"this":[42],"work,":[43],"we":[44],"explore":[45],"need":[47],"integrate":[49],"Network":[51],"model":[52,56,63],"Platooning":[54],"system":[55],"for":[57,110,118],"highway":[58],"environments.":[59],"proposed":[61],"platoon":[62,86,100,113,189],"is":[64],"designed":[65],"adaptive":[68],"in":[69,163,187],"length,":[70],"providing":[71],"node":[73],"vehicles":[74],"merge":[76,119],"exit.":[78],"This":[79,166],"overcomes":[80],"assumption":[82],"that":[83],"all":[84],"nodes":[87],"should":[88],"have":[89],"a":[90],"common":[91],"source":[92],"destination.":[94],"challenges":[96],"existing":[99],"model,":[101],"such":[102,129,137],"as":[103,130,138],"relay":[104],"selection,":[105],"acceleration":[106,141],"threshold,":[107],"are":[108],"addressed":[109],"highly":[111],"modular":[112],"design.":[114],"presented":[116],"algorithm":[117],"exit":[121],"events":[122],"optimizes":[123,167],"trade-off":[125],"between":[126],"parameters":[128,136,156],"communication":[131],"range":[132],"dynamic":[135],"velocity":[139],"threshold.":[142],"It":[143],"considers":[144],"bounds":[147],"like":[148,157],"SINR":[149],"link":[151],"stability":[152,173],"trajectory":[155],"duration":[159],"platoon.":[165],"throughput":[170],"while":[171,190],"maintaining":[172],"using":[174],"PID":[176],"controller.":[177],"work":[179],"tries":[180],"increase":[182],"inclusion":[185],"time":[186],"preserving":[191],"overall":[193],"throuahput.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
