Comparison of deep reinforcement learning and model predictive control for adaptive cruise control
This study compares Deep Reinforcement Learning (DRL) and Model Predictive Control
(MPC) for Adaptive Cruise Control (ACC) design in car-following scenarios. A first-order …
(MPC) for Adaptive Cruise Control (ACC) design in car-following scenarios. A first-order …
Distributed secure platoon control of connected vehicles subject to DoS attack: Theory and application
D Zhang, YP Shen, SQ Zhou… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article addresses the distributed secure platoon control of connected vehicles with
denial-of-service (DoS) attack phenomena, which may occur at some sampling time instant …
denial-of-service (DoS) attack phenomena, which may occur at some sampling time instant …
Smoothing traffic flow via control of autonomous vehicles
The emergence of autonomous vehicles (AVs) is expected to revolutionize road
transportation in the near future. Although large-scale numerical simulations and small-scale …
transportation in the near future. Although large-scale numerical simulations and small-scale …
Controllability analysis and optimal control of mixed traffic flow with human-driven and autonomous vehicles
Connected and automated vehicles (CAVs) have a great potential to improve traffic
efficiency in mixed traffic systems, which has been demonstrated by multiple numerical …
efficiency in mixed traffic systems, which has been demonstrated by multiple numerical …
Distributed deception attack detection in platoon-based connected vehicle systems
Z Ju, H Zhang, Y Tan - IEEE transactions on vehicular …, 2020 - ieeexplore.ieee.org
This article investigates the distributed sensor deception attack and estimation for a class of
platoon-based connected vehicles. In these systems, the information of each vehicle's …
platoon-based connected vehicles. In these systems, the information of each vehicle's …
Distributed model predictive control of multi-vehicle systems with switching communication topologies
Abstract Vehicle-to-vehicle (V2V) communication-enabled cooperation of multiple
connected vehicles improves the safety and efficiency of our transportation systems …
connected vehicles improves the safety and efficiency of our transportation systems …
A distributed adaptive triple-step nonlinear control for a connected automated vehicle platoon with dynamic uncertainty
Connected automated vehicle (CAV) platoon control is becoming increasingly prevalent
because of its unique advantages in reducing fuel consumption and improving traffic …
because of its unique advantages in reducing fuel consumption and improving traffic …
Min-max model predictive vehicle platooning with communication delay
Vehicle platooning gains its popularity in improving traffic capacity, safety and fuel saving.
The key requirements of an effective platooning strategy include keeping a safe inter-vehicle …
The key requirements of an effective platooning strategy include keeping a safe inter-vehicle …
Vehicle platooning with non-ideal communication networks
The performance and effectiveness of a vehicle platoon rely on the topology of information
flow and quality of communications, such as delays and dropouts. In this paper, we …
flow and quality of communications, such as delays and dropouts. In this paper, we …
Stability analysis of vehicle platooning with limited communication range and random packet losses
Control performance of vehicle platooning relies on the information flow topology and quality
of wireless communications. In this article, we investigate the constant-time-headway …
of wireless communications. In this article, we investigate the constant-time-headway …