A Distributed Framework for Coordinated Heavy-Duty Vehicle Platooning

被引:88
|
作者
Larson, Jeffrey [1 ]
Liang, Kuo-Yun [2 ,3 ]
Johansoon, Karl H. [2 ,3 ]
机构
[1] Argonne Natl Lab, Div Math & Comp Sci, Argonne, IL 60439 USA
[2] KTH Royal Inst Technol, ACCESS Linnaeus Ctr, S-10044 Stockholm, Sweden
[3] KTH Royal Inst Technol, Dept Automat Control, S-10044 Stockholm, Sweden
基金
瑞典研究理事会;
关键词
Automated highways; intelligent systems; road transportation;
D O I
10.1109/TITS.2014.2320133
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Heavy-duty vehicles (HDVs) traveling in single file with small intervehicle distances experience reduced aerodynamic drag and, therefore, have improved fuel economy. In this paper, we attempt to maximize the amount of fuel saved by coordinating platoon formation using a distributed network of controllers. These virtual controllers, placed at major intersections in a road network, help coordinate the velocity of approaching vehicles so they arrive at the junction simultaneously and can therefore platoon. This control is initiated only if the cost of forming the platoon is smaller than the savings incurred from platooning. In a largescale simulation of the German Autobahn network, we observe that savings surpassing 5% when only a few thousand vehicles participate in the system. These results are corroborated by an analysis of real-world HDV data that show significant platooning opportunities currently exist, suggesting that a slightly invasive network of distributed controllers, such as the one proposed in this paper, can yield considerable savings.
引用
收藏
页码:419 / 429
页数:11
相关论文
共 50 条
  • [1] A General Simulation Framework for Modeling and Analysis of Heavy-Duty Vehicle Platooning
    Deng, Qichen
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (11) : 3252 - 3262
  • [2] CONCEPTUAL FRAMEWORK FOR HEAVY-DUTY VEHICLE PLATOONING IN PHYSICAL INTERNET SYSTEMS
    Puskas, Eszter
    Bohacs, Gabor
    ACTA LOGISTICA, 2021, 8 (04): : 407 - 414
  • [3] Analysis of a Stochastic Model for Coordinated Platooning of Heavy-duty Vehicles
    Xiong, Xi
    Xiao, Erdong
    Jin, Li
    2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 3170 - 3175
  • [4] Coordinated Route Optimization for Heavy-duty Vehicle Platoons
    Larson, Jeffrey
    Kammer, Christoph
    Liang, Kuo-Yun
    Johansson, Karl Henrik
    2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC), 2013, : 1196 - 1202
  • [5] Gear management for fuel-efficient heavy-duty vehicle platooning
    Turri, Valerio
    Besselink, Bart
    Johansson, Karl H.
    2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), 2016, : 1687 - 1694
  • [6] Experimental evaluation of decentralized cooperative cruise control for heavy-duty vehicle platooning
    Alam, Assad
    Martensson, Jonas
    Johansson, Karl H.
    CONTROL ENGINEERING PRACTICE, 2015, 38 : 11 - 25
  • [7] Private and Secure Coordination of Match-Making for Heavy-Duty Vehicle Platooning
    Farokhi, Farhad
    Shames, Iman
    Johansson, Karl H.
    IFAC PAPERSONLINE, 2017, 50 (01): : 7345 - 7350
  • [8] Disturbance observer approach for fuel-efficient heavy-duty vehicle platooning
    Na, Gyujin
    Park, Gyunghoon
    Turri, Valerio
    Johansson, Karl H.
    Shim, Hyungbo
    Eun, Yongsoon
    VEHICLE SYSTEM DYNAMICS, 2020, 58 (05) : 748 - 767
  • [9] 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
  • [10] Simulation of Heavy-Duty Vehicles in Platooning Scenarios
    Kim, Namdoo
    Karbowski, Dominik
    Jeong, Jongryeol
    Rousseau, Aymeric
    2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2018, : 1604 - 1610