Beyond-Line-of-Sight Identification by Using Vehicle-to-Vehicle Communication
Zhang Linjun,Gábor Orosz +1 more
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TLDR
This paper designs a causality detector to determine whether the information received from distant vehicles is relevant to the motion of the receiving vehicle, and designs a link-length estimator to identify the number of vehicles between the broadcasting vehicle and the receiving vehicles, which is required for appropriately incorporating the received data into the vehicle control system.Abstract:
In this paper, we investigate the identification of the configuration and the dynamics of connected vehicle systems, where wireless vehicle-to-vehicle communication is used to access the motion data of vehicles that are beyond the line of sight. In particular, we first construct a causality detector to determine whether the information received from distant vehicles is relevant to the motion of the receiving vehicle. Then, we design a link-length estimator to identify the number of vehicles between the broadcasting vehicle and the receiving vehicle, which is required for appropriately incorporating the received data into the vehicle control system. Finally, a dynamics identifier is proposed to approximate the nonlinear time-delayed dynamics of vehicle chains, which is needed for the controller design to achieve desired system-level performance. The presented analytical results are validated through numerical simulations using synthetic data and on-road experiments.read more
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DAGIoV: A Framework for Vehicle to Vehicle Communication Using Directed Acyclic Graph and Game Theory
TL;DR: A game-theoretic approach is used to model the interactions between the vehicles providing and consuming offloading services and the proposed model is proven to be highly scalable and well suited for microtransactions or frequent data transfer among the nodes in the vehicular network.
Pro-social control of connected automated vehicles in mixed-autonomy multi-lane highway traffic
TL;DR: In this paper, a pro-social control algorithm for connected automated vehicles (CAVs) is proposed to mitigate jamming waves in mixed-autonomy multi-lane traffic, resulting from car-following dynamics of human-driven vehicles (HDVs).
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Cooperative adaptive cruise control in mixed traffic with selective use of vehicle-to-vehicle communication
TL;DR: In this paper, the authors proposed a cooperative adaptive cruise control (CACC) to regulate the longitudinal motion of connected and automated vehicles (CAVs) in mixed traffic that is composed of human-driven vehicles and CAVs.
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A Cruise Control Method for Connected Vehicle Systems Considering Side Vehicles Merging Behavior
TL;DR: A novel range policy that integrates the consideration of side-vehicle merging scene is established, based on which a general strategy is proposed focusing on the acceleration control and incorporating various information delays.
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Stability, convergence and Hopf bifurcation analyses of the classical car-following model
TL;DR: In this paper, the authors investigated the impact of delayed feedback on the dynamics of the classical car-following model (CCFM) in three regimes (no delay, small delay and arbitrary delay).
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