Connectivity-Based Delay-Tolerant Control of Automated Vehicles: Theory and Experiments

被引:18
作者
Beregi, Sandor [1 ,2 ]
Avedisov, Sergei S. [3 ,4 ]
He, Chaozhe R. [3 ,5 ]
Takacs, Denes [1 ,6 ]
Orosz, Gabor [3 ,7 ]
机构
[1] Budapest Univ Technol & Econ, Dept Appl Mech, H-1111 Budapest, Hungary
[2] Univ Bristol, Dept Engn Math, Bristol BS8 1TW, England
[3] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
[4] Toyota Motor North Amer R&D Infotech Labs, Mountain View, CA 94043 USA
[5] Plus Ai Inc, Cupertino, CA 95014 USA
[6] MTA BME Res Grp Dynam Machines & Vehicles, H-1111 Budapest, Hungary
[7] Univ Michigan, Dept Civil & Environm Engn, Ann Arbor, MI 48109 USA
来源
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES | 2023年 / 8卷 / 01期
关键词
Vehicle-to-everything; Trajectory; Global Positioning System; Delays; Delay effects; Roads; Resilience; Vehicle automation; V2X connectivity; latency; delay; stability; STRING STABILITY;
D O I
10.1109/TIV.2021.3131957
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The concept of utilizing vehicle-to-everything (V2X) connectivity to improve the resilience of automated vehicles in an environment where optical sensors may not provide reliable data is investigated. Longitudinal and lateral controllers are designed to enable a connected automated vehicle (CAV) to utilize V2X information from nearby connected human-driven vehicles (CHVs). The linear stability of the controllers are investigated theoretically while taking into account the time delays in the feedback loops. Novel performance measures are introduced to quantify the plant and string stability properties of the longitudinal controller from experimental data. The stability of the lateral controller is also evaluated in lane-keeping experiments. The robustness of the designed controllers against latency is demonstrated and the performance of the overall systems is showcased experimentally using real vehicles on a test track.
引用
收藏
页码:275 / 289
页数:15
相关论文
共 45 条
  • [1] Ames AD, 2014, IEEE DECIS CONTR P, P6271, DOI 10.1109/CDC.2014.7040372
  • [2] Lane-deviation penalty formulation and analysis for autonomous vehicle avoidance maneuvers
    Anistratov, Pavel
    Olofsson, Bjorn
    Nielsen, Lars
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2021, 235 (12) : 3036 - 3050
  • [3] [Anonymous], 2016, J2735 SAE INT
  • [4] Impacts of Connected Automated Vehicles on Freeway Traffic Patterns at Different Penetration Levels
    Avedisov, Sergei S.
    Bansal, Gaurav
    Orosz, Gabor
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (05) : 4305 - 4318
  • [5] Hierarchical steering control for a front wheel drive automated car
    Beregi, Sandor
    Takacs, Denes
    He, Chaozhe R.
    Avedisov, Sergei S.
    Orosz, Gabor
    [J]. IFAC PAPERSONLINE, 2018, 51 (14): : 1 - 6
  • [6] Lane Change and Merge Maneuvers for Connected and Automated Vehicles: A Survey
    Bevly, David
    Cao, Xiaolong
    Gordon, Mikhail
    Ozbilgin, Guchan
    Kari, David
    Nelson, Brently
    Woodruff, Jonathan
    Barth, Matthew
    Murray, Chase
    Kurt, Arda
    Redmill, Keith
    Ozguner, Umit
    [J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2016, 1 (01): : 105 - 120
  • [7] Corchero C., 2018, P 15 INT C EUR EN MA, P1
  • [8] De Sapio V., 2017, ADV ANAL DYNAMICS TH
  • [9] Distributed Consensus Strategy for Platooning of Vehicles in the Presence of Time-Varying Heterogeneous Communication Delays
    di Bernardo, Mario
    Salvi, Alessandro
    Santini, Stefania
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 16 (01) : 102 - 112
  • [10] Di Cairano S., 2010, ADV AUTOMOTIVE CONTR, P1, DOI DOI 10.3182/20100712-3-DE-2013.00046