String Stability Analysis for Vehicle Platooning Under Unreliable Communication Links With Event-Triggered Strategy

• Published in: IEEE transactions on vehicular technology Vol. 68; no. 3; pp. 2152 - 2164
• Main Authors: Li, Zhicheng, Hu, Bin, Li, Ming, Luo, Gengnan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: <inline-formula xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <tex-math notation="LaTeX"> mathcal {L}_2</tex-math> </inline-formula> string stability; Ad hoc networks; Bandwidth; Bandwidths; Communication; Computer simulation; Event-triggered; Fading; fading channel model; Fading channels; Markov analysis; Markov chains; Markov processes; Platooning; Quality of service architectures; Road safety; Stability analysis; Traffic accidents & safety; unreliable communication links; vehicle platoon; Vehicle safety; Vehicular ad hoc networks; Wireless communication; Wireless networks
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2019.2891681

Vehicle platooning systems are often equipped with vehicle-to-vehicle (V2V) communication technologies to improve both the road efficiency and road safety by exchanging vehicle information over wireless networks to maintain relatively small inter-vehicle distance. The road safety often relies on the quality of service delivered by the V2V communication. The V2V networks are, however, subject to channel fading and often have limited communication bandwidth. The limited bandwidth inevitably compromises the road safety as the vehicular network will easily get congested if the number of vehicles joining the network increases. To address the challenges of ensuring vehicle safety under unreliable wireless network with limited bandwidth, this paper first uses a two-state Markov chain to model the channel fading in vehicular networks. Under the Markov chain model, this paper further develops a novel distributed event triggered strategies under which the vehicle platooning system achieves stochastic <inline-formula><tex-math notation="LaTeX">\mathcal {L}_2</tex-math></inline-formula> string stability while ensuring an efficient use of the limited communication bandwidth. The simulation results are provided to verify the effectiveness and advantages of the proposed methods.