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Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles
A connected autonomous vehicle (CAV) network can be defined as a set of connected
vehicles including CAVs that operate on a specific spatial scope that may be a road network …
vehicles including CAVs that operate on a specific spatial scope that may be a road network …
Control barrier functions for systems with high relative degree
This paper extends control barrier functions (CBFs) to high order control barrier functions
(HOCBFs) that can be used for high relative degree constraints. The proposed HOCBFs are …
(HOCBFs) that can be used for high relative degree constraints. The proposed HOCBFs are …
Bridging the gap between optimal trajectory planning and safety-critical control with applications to autonomous vehicles
We address the problem of optimizing the performance of a dynamic system while satisfying
hard safety constraints at all times. Implementing an optimal control solution is limited by the …
hard safety constraints at all times. Implementing an optimal control solution is limited by the …
Decentralized optimal merging control for connected and automated vehicles with safety constraint guarantees
This paper addresses the optimal control of Connected and Automated Vehicles (CAVs)
arriving from two roads at a Merging Point (MP) where the objective is to jointly minimize the …
arriving from two roads at a Merging Point (MP) where the objective is to jointly minimize the …
Iterative learning-based cooperative motion planning and decision-making for connected and autonomous vehicles coordination at on-ramps
This paper proposes an iterative learning-based cooperative motion planning and decision-
making approach to achieve time-optimal coordination control of connected and …
making approach to achieve time-optimal coordination control of connected and …
Decentralized merging control in traffic networks: A control barrier function approach
In this paper, we aim to optimize the process of Connected and Automated Vehicles (CAVs)
merging at a traffic intersection while guaranteeing the state, control and safety constraints …
merging at a traffic intersection while guaranteeing the state, control and safety constraints …
Decentralized optimal merging control with optimization of energy consumption for connected hybrid electric vehicles
F Xu, T Shen - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
This paper presents a new approach for solving the optimal merging control problem for
hybrid electric vehicles (HEVs) under a connected environment. To achieve a reduction in …
hybrid electric vehicles (HEVs) under a connected environment. To achieve a reduction in …
Modeling and impact analysis of connected vehicle merging accounting for mainline random length tight-platoon
Q **n, R Fu, SV Ukkusuri, S Yu, R Jiang - Physica A: Statistical Mechanics …, 2021 - Elsevier
To reveal impacts of tight-platoon on connected vehicle (CV) merging, a merging advisory
model is proposed to account for mainline random length tight-platoon. The tight-platoon is …
model is proposed to account for mainline random length tight-platoon. The tight-platoon is …
Decentralized optimal merging control for connected and automated vehicles with optimal dynamic resequencing
A complete solution to a decentralized optimal merging problem for Connected and
Automated Vehicles (CAVs) was provided in earlier work, based on a First In First Out (FIFO) …
Automated Vehicles (CAVs) was provided in earlier work, based on a First In First Out (FIFO) …
Decentralized cooperative merging of platoons of connected and automated vehicles at highway on-ramps
In this paper, we present an optimization framework for cooperative merging of platoons of
connected and automated vehicles at highway on-ramps. The framework includes (1) an …
connected and automated vehicles at highway on-ramps. The framework includes (1) an …