An Agent Based Layered Decision Process for Vehicle Platoon Control

被引:2
|
作者
Dafflon, Baudouin [1 ]
Gechter, Franck [1 ]
Gruer, Pablo [1 ]
Koukam, Abder [1 ]
机构
[1] Univ Technol Belfort Montbeliard, Lab Syst & Transports, Belfort, France
关键词
Multi-Agent model; Platoon control;
D O I
10.1007/978-3-319-10891-9_6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Vehicle platoon systems can be considered as good alternative solutions to traffic problems encountered in urban environment. Indeed, they allow to propose new public transportation models based on size adaptable trains. In other fields, such as military operation theaters and agricultural fields, platoon systems can also solve specific problems. The goal of this paper is to propose an agent based decision process that allow to handle the control of vehicles platoon. The decision process is composed of 5 interconnected layers each dealing with one specific aspect of the decision process including the perception interpretation, the spatial configuration choice and the control of the vehicles. This model has been tested in simulation by taking into account several geometrical configurations.
引用
收藏
页码:107 / 122
页数:16
相关论文
共 50 条
  • [1] Bi-Layered Synchronized Optimization Control With Prescribed Performance for Vehicle Platoon
    Zhang, Yuxiang
    Liang, Xiaoling
    Li, Dongyu
    Ge, Shuzhi Sam
    Lee, Tong Heng
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (11) : 16473 - 16489
  • [2] Cooperative Braking Control Based on Autonomous Vehicle Platoon
    Liu, Yonggui
    Xu, Bugong
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 284 - 289
  • [3] Cooperative control of mixed vehicle platoon based on pinning consensus of heterogeneous multi-agent system
    Du, Wenju
    Ma, Changxi
    Zhang, Jiangang
    IET INTELLIGENT TRANSPORT SYSTEMS, 2024, 18 (12) : 2485 - 2501
  • [4] Consensus-based Vehicle Platoon Control with Communication Noises
    Li, Haifeng
    Chen, Zhenping
    Fu, Baochuan
    Wu, Zhengtian
    Ji, Xinhui
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 5093 - 5098
  • [5] Design of vehicle platoon control based on predicted road inclinations
    Nemeth, Balazs
    Gaspar, Peter
    Bokor, Jozsef
    2011 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2011, : 265 - 270
  • [6] Consensus based control algorithm for vehicle platoon with packet losses
    Tang, Ye
    Yan, Maode
    Yang, Panpan
    Zuo, Lei
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 7684 - 7689
  • [7] Collaborative Control of Vehicle Platoon Based on Deep Reinforcement Learning
    Chen, Jianzhong
    Wu, Xiaobao
    Lv, Zekai
    Xu, Zhihe
    Wang, Wenjie
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (10) : 14399 - 14414
  • [8] Platoon-Based Multi-Agent Intersection Management for Connected Vehicle
    Jin, Qiu
    Wu, Guoyuan
    Boriboonsomsin, Kanok
    Barth, Matthew
    2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC), 2013, : 1462 - 1467
  • [9] Impedance control for a vehicle platoon system
    Yi, SY
    Chong, KT
    MECHATRONICS, 2005, 15 (05) : 627 - 638
  • [10] Model predictive control of a vehicle platoon
    Graffione, Simone
    Bersani, Chiara
    Sacile, Roberto
    Zero, Enrico
    2020 IEEE 15TH INTERNATIONAL CONFERENCE OF SYSTEM OF SYSTEMS ENGINEERING (SOSE 2020), 2020, : 513 - 518