Data-driven optimal cooperative adaptive cruise control of heterogeneous vehicle platoons with unknown dynamics

Abstract

Optimal containment control of continuous-time multi-agent systems with unknown disturbances using data-driven approach SCIENCE CHINA Information Sciences 63, 209205 (2020); Towards data-driven identification and control of complex networks National Science Review 1, 335 (2014); Adaptive data-driven parallelization of multiview video coding on multi-core processor Science in China Series F-Information Sciences 52, 195 (2009); Synthesis of model predictive control based on data-driven learning SCIENCE CHINA Information Sciences 63, 189204 (2020); Multi-objective adaptive cruise control(ACC) algorithm for cooperative ACC platooning

Bidirectional asymmetric delay feedback for cooperative adaptive cruise control of vehicle platoons with unreliable communication

“…In the experiment studies, the parameters of the following vehicles are selected as L i = 2 m, τ i = 0.2 s, T i = 1.05 s, T s = 0.2 s, and δ i = 8 m for i = 1, …,6. It is picked from Table 1 that the upper bound of time delay h 1 = 1.1 s. The upper bounds of count of continuous packet dropout are followed from [12,27] as n max = m max = 2.…”

“…String stability is a key safety issue of vehicle platoons as any disturbance and tracking errors of each vehicle in the platoon may be amplified back along the platoon due to coupled longitudinal dynamics of CAVs [25,26]. The string stability indicates that disturbances of vehicles can be gradually attenuated back along the platoon [27], which ensures that the tracking errors between adjacent vehicles are close to zero in order to avoid collision. However, time-varying delays and packet loss of V2X communication network generally degrade string stability of vehicle platoons.…”

The Eco-Driving Considering Coordinated Control Strategy for the Intelligent Electric Vehicles

“…Typical cruise control models for normal scenarios have been built considering car-following features and driving styles with comprehensive parameters [20]. In succession with the physical models, data-driven based adaptive cruise control models by integrating communication technologies have been proposed to achieve cooperative cruise functions [21]. In emergency scenarios, automatic emergency braking systems with accuracy braking performs are developed to guarantee driving safety [22].…”

A Two-Stage Cooperative Adaptive Cruise Control for Connected Automated Vehicles in Multislope Roads considering Communication Delay and Actuator Delay

“…Meanwhile, the actuator delays are considered further in subsequent work [21]. In the literature [22], a real-time data-driven CACC optimization method based on DP for unknown dynamic heterogeneous vehicle platoons is proposed. Although the real-time optimization approach can fully incorporate the current driving state of platoons to make the optimal control inputs, however, real-time optimization requires a large amount of computation, which is a considerable challenge for the hardware on the vehicle.…”