Communication Resource-Efficient Vehicle Platooning Control With Various Spacing Policies

被引:0
作者
Xiaohua Ge [1 ,2 ]
Qing-Long Han [1 ,2 ]
Xian-Ming Zhang [1 ,2 ]
Derui Ding [1 ,2 ]
机构
[1] IEEE
[2] the School of Science, Computing and Engineering Technologies, Swinburne University of Technology
基金
澳大利亚研究理事会;
关键词
D O I
暂无
中图分类号
U495 [电子计算机在公路运输和公路工程中的应用]; TP273 [自动控制、自动控制系统];
学科分类号
080201 ; 0835 ; 0838 ;
摘要
Platooning represents one of the key features that connected automated vehicles may possess as it allows multiple automated vehicles to be maneuvered cooperatively with small headways on roads. However, a critical challenge in accomplishing automated vehicle platoons is to deal with the effects of intermittent and sporadic vehicle-to-vehicle data transmissions caused by limited wireless communication resources. This paper addresses the co-design problem of dynamic event-triggered communication scheduling and cooperative adaptive cruise control for a convoy of automated vehicles with diverse spacing policies. The central aim is to achieve automated vehicle platooning under various gap references with desired platoon stability and spacing performance requirements, while simultaneously improving communication efficiency. Toward this aim, a dynamic event-triggered scheduling mechanism is developed such that the intervehicle data transmissions are scheduled dynamically and efficiently over time. Then, a tractable co-design criterion on the existence of both the admissible event-driven cooperative adaptive cruise control law and the desired scheduling mechanism is derived. Finally, comparative simulation results are presented to substantiate the effectiveness and merits of the obtained results.
引用
收藏
页码:362 / 376
页数:15
相关论文
共 50 条
  • [41] Data-Driven Model-Predictive Communication for Resource-Efficient IoT Networks
    Arendt, Christian
    Boecker, Stefan
    Wietfeld, Christian
    2020 IEEE 6TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2020,
  • [42] Cooperative Adaptive Cruise Control and Decision Making for Fuel-Efficient Vehicle Platooning
    Jia, Xiaomeng
    Zhou, Jianshan
    Duan, Xuting
    Sheng, Zhengguo
    Tian, Daxin
    PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCE ON AUTONOMOUS UNMANNED SYSTEMS, ICAUS 2022, 2023, 1010 : 252 - 261
  • [43] Resource-efficient digital characterization and control of classical non-Gaussian noise
    Dong, Wenzheng
    Paz-Silva, Gerardo A.
    Viola, Lorenza
    APPLIED PHYSICS LETTERS, 2023, 122 (24)
  • [44] Fuel-efficient control of merging maneuvers for heavy-duty vehicle platooning
    Koller, J. P. J.
    Colin, A. Grossmann
    Besselink, B.
    Johansson, K. H.
    2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, : 1702 - 1707
  • [45] Resource-Efficient Gradient Methods for Model Predictive Pulse Pattern Control on an FPGA
    Richter, Stefan
    Geyer, Tobias
    Morari, Manfred
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2017, 25 (03) : 828 - 841
  • [46] Resource-efficient routing and scheduling of time-constrained streaming communication on networks-on-chip
    Stuijk, Sander
    Basten, Twan
    Geilen, Marc
    Ghamarian, Amir Hossein
    Theelen, Bart
    JOURNAL OF SYSTEMS ARCHITECTURE, 2008, 54 (3-4) : 411 - 426
  • [47] Event-triggered quantized control of vehicle platooning system under disturbances and communication delay
    Xu, Liwei
    Wang, Tingyuan
    Yin, Guodong
    Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2024, 54 (06): : 1551 - 1560
  • [48] Joint Communication and Control Optimization of a UAV-Assisted Multi-Vehicle Platooning System in Uncertain Communication Environment
    Duan, Xuting
    Zhao, Yihan
    Tian, Daxin
    Zhou, Jianshan
    Ma, Linru
    Zhang, Long
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (03) : 3177 - 3190
  • [49] Integrating control-theoretic predictive deep learning for resource-efficient computing systems
    Machidon, Alina L.
    Pejovic, Veljko
    JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2025, : 921 - 943
  • [50] Intelligent Admission Control in 6G Networks for Resource-efficient Reliable Connectivity
    Pathak, Priyanka
    Schwarzmann, Susanna
    Trivisonno, Riccardo
    Pesavento, Marius
    2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), 2022, : 3851 - 3856