Platoon Control Leveraging Network Performance and State Estimation Under Dynamic V2V Network

This paper presents a distributed platoon control method designed to mitigate the impact of dynamic network interruptions on vehicle platoon safety and stability. Such interruptions pose significant challenges to maintaining platoon formation and achieving effective tracking performance. The propose...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on intelligent transportation systems Vol. 26; no. 8; pp. 12093 - 12105
Main Authors Gao, Jun, Peng, Zhiyuan, Jang, Soohyun, Piao, Changhao
Format Journal Article
LanguageEnglish
Published IEEE 01.08.2025
Subjects
Online AccessGet full text
ISSN1524-9050
1558-0016
DOI10.1109/TITS.2025.3560278

Cover

Abstract This paper presents a distributed platoon control method designed to mitigate the impact of dynamic network interruptions on vehicle platoon safety and stability. Such interruptions pose significant challenges to maintaining platoon formation and achieving effective tracking performance. The proposed approach integrates network performance and state estimation within a nonlinear distributed model predictive control (DMPC) framework. A V2V communication model for platooning on straight roads is developed using stochastic geometry theory, and a unidirectional connectivity determination method assesses platoon topology connectivity. Missing information due to communication degradation is estimated using the probabilities of successful V2X information reception and connectivity results. This estimation provides reference trajectories for disconnected vehicles, ensuring platoon safety and stability. The performance of the proposed method is evaluated through simulations of a heterogeneous platoon with 15 vehicles under nine network topologies, considering both fixed-time and random intermittent network interruptions. Results demonstrate that under random network interruptions, the proposed method improves tracking performance by 87.1%, driving comfort by 72.5%, and energy efficiency by 23.2% compared to a baseline control method. Preliminary real-world testing further validates the feasibility of the approach. These findings underscore the effectiveness of the proposed method in maintaining platoon stability and safety, even during complete V2X communication loss.
AbstractList This paper presents a distributed platoon control method designed to mitigate the impact of dynamic network interruptions on vehicle platoon safety and stability. Such interruptions pose significant challenges to maintaining platoon formation and achieving effective tracking performance. The proposed approach integrates network performance and state estimation within a nonlinear distributed model predictive control (DMPC) framework. A V2V communication model for platooning on straight roads is developed using stochastic geometry theory, and a unidirectional connectivity determination method assesses platoon topology connectivity. Missing information due to communication degradation is estimated using the probabilities of successful V2X information reception and connectivity results. This estimation provides reference trajectories for disconnected vehicles, ensuring platoon safety and stability. The performance of the proposed method is evaluated through simulations of a heterogeneous platoon with 15 vehicles under nine network topologies, considering both fixed-time and random intermittent network interruptions. Results demonstrate that under random network interruptions, the proposed method improves tracking performance by 87.1%, driving comfort by 72.5%, and energy efficiency by 23.2% compared to a baseline control method. Preliminary real-world testing further validates the feasibility of the approach. These findings underscore the effectiveness of the proposed method in maintaining platoon stability and safety, even during complete V2X communication loss.
Author Peng, Zhiyuan
Piao, Changhao
Jang, Soohyun
Gao, Jun
Author_xml – sequence: 1
  givenname: Jun
  orcidid: 0000-0002-8894-3243
  surname: Gao
  fullname: Gao, Jun
  email: gaoj315@gmail.com
  organization: Department of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China
– sequence: 2
  givenname: Zhiyuan
  surname: Peng
  fullname: Peng, Zhiyuan
  email: 409806573@qq.com
  organization: Chongqing Tsingshan Industrial Company Ltd., Chongqing, China
– sequence: 3
  givenname: Soohyun
  orcidid: 0000-0003-2852-0318
  surname: Jang
  fullname: Jang, Soohyun
  email: shjang@keti.re.kr
  organization: Korea Electronics Technology Institute, Seongnam, South Korea
– sequence: 4
  givenname: Changhao
  orcidid: 0000-0002-0576-5032
  surname: Piao
  fullname: Piao, Changhao
  email: piaoch@cqupt.edu.cn
  organization: School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China
BookMark eNpFkN1KAzEQRoNUsK0-gOBFXmDrTLLp7l5KrVooWujPnSxpMltW20SyQenbu0srXs0wfGf4OAPWc94RY7cII0Qo7lez1XIkQKiRVGMQWX7B-qhUngDguNftIk0KUHDFBk3z0V5Thdhn74u9jt47PvEuBr_nc_qmoHe12_FXij8-fPIFhcqHg3aGuHaWL6OOxKdNrA861i27dpYCfzw6fagN34jNH3rNLiu9b-jmPIds_TRdTV6S-dvzbPIwT4wQEBNrrZGUZqiKtJJbMhrACqG0zlSGUmdjqdIKlIUiV5hvU0GpFlujJCEaK-SQ4emvCb5pAlXlV2jLhWOJUHZ-ys5P2fkpz35a5u7E1ET0n0cA1daQv4UxZB8
CODEN ITISFG
Cites_doi 10.1109/TVT.2022.3173057
10.1109/TIV.2023.3260040
10.1109/TIV.2024.3385575
10.1016/j.ins.2023.01.045
10.1007/s11071-024-10155-3
10.1109/TVT.2020.2997767
10.1016/j.vehcom.2022.100467
10.1016/j.trc.2024.104768
10.1016/j.vehcom.2024.100868
10.1109/TSMC.2024.3485651
10.1109/COMST.2024.3384132
10.1109/TII.2023.3245189
10.1109/TIV.2024.3411050
10.1109/TIV.2023.3263843
10.1016/j.isatra.2023.12.010
10.1016/j.phycom.2021.101562
10.1109/TVT.2022.3177008
10.1109/TITS.2024.3431591
10.1109/JIOT.2024.3352116
10.1177/03611981221091762
10.1109/TAES.2023.3300296
10.1109/IROS47612.2022.9981245
10.1109/JIOT.2023.3335233
10.1016/j.vehcom.2023.100655
10.1109/TTE.2024.3494726
10.1109/TVT.2022.3153562
10.1109/TITS.2024.3412171
10.1109/TIV.2021.3062397
10.1016/j.vehcom.2021.100333
10.1016/j.trc.2023.104114
10.1109/TVT.2021.3063694
10.1016/j.inffus.2020.02.006
10.1016/j.compeleceng.2024.109623
10.1109/TASE.2021.3128920
10.1109/TIV.2022.3215139
10.1109/TITS.2022.3183090
10.1109/ITSC45102.2020.9294333
ContentType Journal Article
DBID 97E
RIA
RIE
AAYXX
CITATION
DOI 10.1109/TITS.2025.3560278
DatabaseName IEEE All-Society Periodicals Package (ASPP) 2005–Present
IEEE All-Society Periodicals Package (ASPP) 1998–Present
IEEE Electronic Library (IEL)
CrossRef
DatabaseTitle CrossRef
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1558-0016
EndPage 12105
ExternalDocumentID 10_1109_TITS_2025_3560278
11005594
Genre orig-research
GrantInformation_xml – fundername: Natural Science Foundation of Chongqing Municipality; Natural Science Foundation of Chongqing
  grantid: 2024NSCQ-MSX1981
  funderid: 10.13039/501100005230
– fundername: Scientific and Technological Research Program of Chongqing Municipal Education Commission
  grantid: KJQN202403124
– fundername: Chongqing University of Posts and Telecommunications Doctoral Student Innovative Talent Program
  grantid: BYJS202306
  funderid: 10.13039/501100004502
– fundername: National Key Research and Development Program of China
  grantid: 2022YFE0101000
  funderid: 10.13039/501100012166
GroupedDBID -~X
0R~
29I
4.4
5GY
5VS
6IK
97E
AAJGR
AARMG
AASAJ
AAWTH
ABAZT
ABQJQ
ABVLG
ACGFO
ACGFS
ACIWK
ACNCT
AENEX
AETIX
AGQYO
AGSQL
AHBIQ
AIBXA
AKJIK
AKQYR
ALMA_UNASSIGNED_HOLDINGS
ATWAV
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CS3
DU5
EBS
EJD
HZ~
H~9
IFIPE
IPLJI
JAVBF
LAI
M43
O9-
OCL
P2P
PQQKQ
RIA
RIE
RNS
ZY4
AAYXX
CITATION
ID FETCH-LOGICAL-c220t-dddc3e471594f3beca00d225aa75713a76354f05d098518b42e4a2bc53e11cd23
IEDL.DBID RIE
ISSN 1524-9050
IngestDate Wed Oct 01 05:38:14 EDT 2025
Wed Aug 20 06:20:52 EDT 2025
IsPeerReviewed true
IsScholarly true
Issue 8
Language English
License https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-037
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c220t-dddc3e471594f3beca00d225aa75713a76354f05d098518b42e4a2bc53e11cd23
ORCID 0000-0002-0576-5032
0000-0003-2852-0318
0000-0002-8894-3243
PageCount 13
ParticipantIDs crossref_primary_10_1109_TITS_2025_3560278
ieee_primary_11005594
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2025-08-01
PublicationDateYYYYMMDD 2025-08-01
PublicationDate_xml – month: 08
  year: 2025
  text: 2025-08-01
  day: 01
PublicationDecade 2020
PublicationTitle IEEE transactions on intelligent transportation systems
PublicationTitleAbbrev TITS
PublicationYear 2025
Publisher IEEE
Publisher_xml – name: IEEE
References ref13
ref35
ref12
ref15
ref37
ref14
ref36
ref31
ref30
ref11
ref33
ref10
ref32
ref2
ref1
ref17
ref16
ref38
ref19
ref18
ref24
ref23
ref26
ref25
ref20
ref22
ref21
ref28
ref27
ref29
ref8
ref7
ref9
ref4
ref3
ref6
ref5
Aigner (ref34) 2023
References_xml – ident: ref15
  doi: 10.1109/TVT.2022.3173057
– ident: ref16
  doi: 10.1109/TIV.2023.3260040
– ident: ref21
  doi: 10.1109/TIV.2024.3385575
– ident: ref3
  doi: 10.1016/j.ins.2023.01.045
– ident: ref23
  doi: 10.1007/s11071-024-10155-3
– ident: ref5
  doi: 10.1109/TVT.2020.2997767
– ident: ref26
  doi: 10.1016/j.vehcom.2022.100467
– ident: ref29
  doi: 10.1016/j.trc.2024.104768
– ident: ref19
  doi: 10.1016/j.vehcom.2024.100868
– ident: ref22
  doi: 10.1109/TSMC.2024.3485651
– ident: ref1
  doi: 10.1109/COMST.2024.3384132
– volume-title: Discrete Mathematics
  year: 2023
  ident: ref34
– ident: ref38
  doi: 10.1109/TII.2023.3245189
– ident: ref2
  doi: 10.1109/TIV.2024.3411050
– ident: ref8
  doi: 10.1109/TIV.2023.3263843
– ident: ref7
  doi: 10.1016/j.isatra.2023.12.010
– ident: ref18
  doi: 10.1016/j.phycom.2021.101562
– ident: ref14
  doi: 10.1109/TVT.2022.3177008
– ident: ref6
  doi: 10.1109/TITS.2024.3431591
– ident: ref31
  doi: 10.1109/JIOT.2024.3352116
– ident: ref11
  doi: 10.1177/03611981221091762
– ident: ref33
  doi: 10.1109/TAES.2023.3300296
– ident: ref20
  doi: 10.1109/IROS47612.2022.9981245
– ident: ref30
  doi: 10.1109/JIOT.2023.3335233
– ident: ref9
  doi: 10.1016/j.vehcom.2023.100655
– ident: ref13
  doi: 10.1109/TTE.2024.3494726
– ident: ref25
  doi: 10.1109/TVT.2022.3153562
– ident: ref24
  doi: 10.1109/TITS.2024.3412171
– ident: ref36
  doi: 10.1109/TIV.2021.3062397
– ident: ref17
  doi: 10.1016/j.vehcom.2021.100333
– ident: ref12
  doi: 10.1016/j.trc.2023.104114
– ident: ref32
  doi: 10.1109/TVT.2021.3063694
– ident: ref37
  doi: 10.1016/j.inffus.2020.02.006
– ident: ref10
  doi: 10.1016/j.compeleceng.2024.109623
– ident: ref35
  doi: 10.1109/TASE.2021.3128920
– ident: ref27
  doi: 10.1109/TIV.2022.3215139
– ident: ref4
  doi: 10.1109/TITS.2022.3183090
– ident: ref28
  doi: 10.1109/ITSC45102.2020.9294333
SSID ssj0014511
Score 2.450619
Snippet This paper presents a distributed platoon control method designed to mitigate the impact of dynamic network interruptions on vehicle platoon safety and...
SourceID crossref
ieee
SourceType Index Database
Publisher
StartPage 12093
SubjectTerms Delays
Fading channels
network connectivity
Network topology
predictive control
Roads
Safety
Stability analysis
State estimation
Topology
V2V network performance
Vehicle platooning
Vehicle-to-everything
Vehicular ad hoc networks
Title Platoon Control Leveraging Network Performance and State Estimation Under Dynamic V2V Network
URI https://ieeexplore.ieee.org/document/11005594
Volume 26
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVIEE
  databaseName: IEEE Electronic Library (IEL)
  customDbUrl:
  eissn: 1558-0016
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0014511
  issn: 1524-9050
  databaseCode: RIE
  dateStart: 20000101
  isFulltext: true
  titleUrlDefault: https://ieeexplore.ieee.org/
  providerName: IEEE
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LS8NAEF5sT3rwWbG-2IMnYdPtZjdtjlJbqmgp2JZeJOxjclFSkfTir3cfiS2C4C0JGRh2Jpn3NwjdMFCaSyGJVDolHBJFlL0nrsLG89ghoLvUwPMkGc_541Isq2F1PwsDAL75DCJ36Wv5ZqXXLlXWcfBm1gPmDdTo9ZMwrPVTMnBAWx4clXGSUlGXMLs07cweZi82FGQiiq2BZ26l2pYR2tqq4o3K6ABNanZCL8lbtC5VpL9-ITX-m99DtF-5l_gu6MMR2oHiGO1tgQ6eoNfpuw20VwUehC51_ARWnf2yIjwJTeF4uhknwLIw2LukeGh_B2HSEft1Sfg-rLPHC7aoSVtoPhrOBmNSLVkgmjFaEmOMjsGaKMtnHluJSkqN_cil7AkbwEoHWMdzKgxNrXPWV5wBl0xpEUO3qw2LT1GzWBVwhjDv5bFDELROZp8bBpILZanA5Z1ZAtBGt_WpZx8BSyPzMQhNMyeizIkoq0TURi13oJsXq7M8_-P5Bdp15KE37xI1y881XFl_oVTXXk--Afe1u8I
linkProvider IEEE
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT8JAEN4oHtSDT4z43IMnk5ay3QV6NAgBhYbEQriYZh_Ti6YYUy7-evfRCjEx8dY2u81mZtp5f4PQHQEhKWfc40JGHoW28IS-90yGjWahQUA3oYFJ3B7O6NOCLcpmddsLAwC2-Ax8c2lz-WopVyZU1jTwZtoCpttoh1FKmWvX-kkaGKgtC49KqBcFrEpitoKomYySF-0MEuaHWsUTM1RtQw1tzFWxamVwiOLqQK6a5M1fFcKXX7-wGv994iN0UBqY-MFJxDHagvwE7W_ADp6i1-m7drWXOe65OnU8Bi3QdlwRjl1ZOJ6uGwowzxW2Rinu6x-C63XEdmASfnQD7fGczKutdTQb9JPe0CvHLHiSkKDwlFIyBK2k9DmzUPOUB4HSnznnHaZdWG4g62gWMBVE2jzrCkqAciIkC6HVkoqEZ6iWL3M4R5h2stBgCGozs0sVAU6Z0LvARJ5JG6CB7iuqpx8OTSO1XkgQpYZFqWFRWrKogeqGoOuFJS0v_nh-i3aHyWScjkfx8yXaM69ylXpXqFZ8ruBaWw-FuLEy8w387L8P
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Platoon+Control+Leveraging+Network+Performance+and+State+Estimation+Under+Dynamic+V2V+Network&rft.jtitle=IEEE+transactions+on+intelligent+transportation+systems&rft.au=Gao%2C+Jun&rft.au=Peng%2C+Zhiyuan&rft.au=Jang%2C+Soohyun&rft.au=Piao%2C+Changhao&rft.date=2025-08-01&rft.issn=1524-9050&rft.eissn=1558-0016&rft.volume=26&rft.issue=8&rft.spage=12093&rft.epage=12105&rft_id=info:doi/10.1109%2FTITS.2025.3560278&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TITS_2025_3560278
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1524-9050&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1524-9050&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1524-9050&client=summon