CLC number: U4;TP29
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2022-03-14
Cited: 0
Clicked: 2541
Citations: Bibtex RefMan EndNote GB/T7714
https://orcid.org/0000-0003-3335-8300
https://orcid.org/0000-0003-1602-5651
Zhanyi HU, Yingjun QIAO, Xingyu LI, Jin HUANG, Yifan JIA, Zhihua ZHONG. Design and experimental validation of event-triggered multi-vehicle cooperation in conflicting scenarios[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(11): 1700-1713.
@article{title="Design and experimental validation of event-triggered multi-vehicle cooperation in conflicting scenarios",
author="Zhanyi HU, Yingjun QIAO, Xingyu LI, Jin HUANG, Yifan JIA, Zhihua ZHONG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="11",
pages="1700-1713",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2100504"
}
%0 Journal Article
%T Design and experimental validation of event-triggered multi-vehicle cooperation in conflicting scenarios
%A Zhanyi HU
%A Yingjun QIAO
%A Xingyu LI
%A Jin HUANG
%A Yifan JIA
%A Zhihua ZHONG
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 11
%P 1700-1713
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2100504
TY - JOUR
T1 - Design and experimental validation of event-triggered multi-vehicle cooperation in conflicting scenarios
A1 - Zhanyi HU
A1 - Yingjun QIAO
A1 - Xingyu LI
A1 - Jin HUANG
A1 - Yifan JIA
A1 - Zhihua ZHONG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 11
SP - 1700
EP - 1713
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2100504
Abstract: Platoon control is widely studied for coordinating connected and automated vehicles (CAVs) on highways due to its potential for improving traffic throughput and road safety. Inspired by platoon control, the cooperation of multiple CAVs in conflicting scenarios can be greatly simplified by virtual platooning. Vehicle-to-vehicle communication is an essential ingredient in virtual platoon systems. Massive data transmission with limited communication resPreprintources incurs inevitable imperfections such as transmission delay and dropped packets. As a result, unnecessary transmission needs to be avoided to establish a reliable wireless network. To this end, an event-triggered robust control method is developed to reduce the use of communication resources while ensuring the stability of the virtual platoon system with time-varying uncertainty. The uniform boundedness, uniform ultimate boundedness, and string stability of the closed-loop system are analytically proved. As for the triggering condition, the uncertainty of the boundary information is considered, so that the threshold can be estimated more reasonably. Simulation and experimental results verify that the proposed method can greatly reduce data transmission while creating multi-vehicle cooperation. The threshold affects the tracking ability and communication burden, and hence an optimization framework for choosing the threshold is worth exploring in future research.
[1]Bian YG, Li SE, Ren W, et al., 2020. Cooperation of multiple connected vehicles at unsignalized intersections: distributed observation, optimization, and control. IEEE Trans Ind Electron, 67(12):10744-10754.
[2]Castiglione LM, Falcone P, Petrillo A, et al., 2021. Cooperative intersection crossing over 5G. IEEE/ACM Trans Netw, 29(1):303-317.
[3]Chen YH, Zhang XR, 2010. Adaptive robust approximate constraint-following control for mechanical systems. J Franklin Inst, 347(1):69-86.
[4]Dai PL, Liu K, Zhuge QF, et al., 2016. Quality-of-experience-oriented autonomous intersection control in vehicular networks. IEEE Trans Intell Transp Syst, 17(7):1956-1967.
[5]di Bernardo M, Salvi A, Santini S, 2015. Distributed consensus strategy for platooning of vehicles in the presence of time-varying heterogeneous communication delays. IEEE Trans Intell Transp Syst, 16(1):102-112.
[6]Ding L, Han QL, Ge XH, et al., 2018. An overview of recent advances in event-triggered consensus of multiagent systems. IEEE Trans Cybern, 48(4):1110-1123.
[7]di Vaio MD, Falcone P, Hult R, et al., 2019. Design and experimental validation of a distributed interaction protocol for connected autonomous vehicles at a road intersection. IEEE Trans Veh Technol, 68(10):9451-9465.
[8]Dolk V, Heemels M, 2017. Event-triggered control systems under packet losses. Automatica, 80:143-155.
[9]Dolk VS, Ploeg J, Heemels MPMH, 2017. Event-triggered control for string-stable vehicle platooning. IEEE Trans Intell Transp Syst, 18(12):3486-3500.
[10]Dresner K, Stone P, 2008. A multiagent approach to autonomous intersection management. J Artif Intell Res, 31(1):591-656.
[11]Ge XH, Han QL, Zhang XM, 2018. Achieving cluster formation of multi-agent systems under aperiodic sampling and communication delays. IEEE Trans Ind Electron, 65(4):3417-3426.
[12]Guo G, Ding L, Han QL, 2014. A distributed event-triggered transmission strategy for sampled-data consensus of multi-agent systems. Automatica, 50(5):1489-1496.
[13]Huang S, Sadek AW, Zhao YJ, 2012. Assessing the mobility and environmental benefits of reservation-based intelligent intersections using an integrated simulator. IEEE Trans Intell Transp Syst, 13(3):1201-1214.
[14]Li SE, Zheng Y, Li KQ, et al., 2017. Dynamical modeling and distributed control of connected and automated vehicles: challenges and opportunities. IEEE Trans Intell Transp Syst, 9(3):46-58.
[15]Li T, Wen CY, Yang J, et al., 2020. Event-triggered tracking control for nonlinear systems subject to time-varying external disturbances. Automatica, 119:109070.
[16]Li W, Ban XG, 2020. Connected vehicle-based traffic signal coordination. Engineering, 6(12):1463-1472.
[17]Meng Y, Li L, Wang FY, et al., 2018. Analysis of cooperative driving strategies for nonsignalized intersections. IEEE Trans Veh Technol, 67(4):2900-2911.
[18]Mirheli A, Tajalli M, Hajibabai L, et al., 2019. A consensus-based distributed trajectory control in a signal-free intersection. Transp Res Part C Emerg Technol, 100:161-176.
[19]Morales Medina AI, van de Wouw N, Nijmeijer H, 2018. Cooperative intersection control based on virtual platooning. IEEE Trans Intell Transp Syst, 19(6):1727-1740.
[20]Rios-Torres J, Malikopoulos AA, 2017. A survey on the coordination of connected and automated vehicles at intersections and merging at highway on-ramps. IEEE Trans Intell Transp Syst, 18(5):1066-1077.
[21]Shen H, Wang Y, Xia JW, et al., 2019. Fault-tolerant leader-following consensus for multi-agent systems subject to semi-Markov switching topologies: an event-triggered control scheme. Nonl Anal Hybr Syst, 34:92-107.
[22]Shi YJ, Han QM, Shen WM, et al., 2021. A multi-layer collaboration framework for industrial parks with 5G vehicle-to-everything networks. Engineering, 7(6):818-831.
[23]Uno A, Sakaguchi T, Tsugawa S, 1999. A merging control algorithm based on inter-vehicle communication. Proc IEEE/IEEJ/JSAI Int Conf on Intelligent Transportation Systems, p.783-787.
[24]Wen SX, Guo G, Chen B, et al., 2018. Event-triggered cooperative control of vehicle platoons in vehicular ad hoc networks. Inform Sci, 459:341-353.
[25]Xu B, Li SE, Bian YG, et al., 2018. Distributed conflict-free cooperation for multiple connected vehicles at unsignalized intersections. Transp Res Part C Emerg Technol, 93:322-334.
[26]Yu RR, Chen YH, Zhao H, et al., 2019. Self-adjusting leakage type adaptive robust control design for uncertain systems with unknown bound. Mech Syst Signal Process, 116:173-193.
[27]Yue W, Wang LY, Guo G, 2017. Event-triggered platoon control of vehicles with time-varying delay and probabilistic faults. Mech Syst Signal Process, 87:96-117.
[28]Zheng Y, Li SE, Wang JQ, et al., 2016. Stability and scalability of homogeneous vehicular platoon: study on the influence of information flow topologies. IEEE Trans Intell Transp Syst, 17(1):14-26.
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