过去一年中添加的文章，按日期排序
Adaptive Policy Learning for Connected Autonomous Vehicles Defending Malicious Access Requests by Graph Reinforcement Learning
Q Xu, L Zhang, Y Liu - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
13 天前 - … connected and automated vehicles in mixed autonomy,” IEEE Trans. Intell. Transp.
… reinforcement learning for multi-agent cooperative control of connected autonomous vehicles…
… reinforcement learning for multi-agent cooperative control of connected autonomous vehicles…
Centralized Cooperation for Connected Autonomous Vehicles at Intersections by Safe Deep Reinforcement Learning
R Zhao, Y Li, K Wang, Y Fan, F Gao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
40 天前 - … Therefore, the cooperative control of CAVs should prioritize safety while optimizing
other performance factors, rather than seeking to maximize a combined reward function that …
other performance factors, rather than seeking to maximize a combined reward function that …
AUTODRAITEC: A Novel AI-based System on the Road Infrastructure for Autonomous Driving-Proof of Concept
ZEA Kherroubi, F Boukhalfa… - … IEEE Intelligent Vehicles …, 2024 - ieeexplore.ieee.org
59 天前 - … reinforcement learning for multi-agent cooperative control of connected autonomous
vehicles… methodology based on deep reinforcement learning to simultaneously improve …
vehicles… methodology based on deep reinforcement learning to simultaneously improve …
An IoMT-based Federated Learning Survey in Smart Transportation
GV Karnam, PKR Maddikunta - Recent Advances in Computer …, 2024 - ingentaconnect.com
63 天前 - … , a collaborative and distributed machine learning approach called Federated Learning
(FL) … on the prediction of traffic using Machine Learning, Deep Learning, and FL. Among …
(FL) … on the prediction of traffic using Machine Learning, Deep Learning, and FL. Among …
Benefits of Intent Sharing in Cooperative Platooning
A Moradipari, SS Avedisov, H Lu - 2024 IEEE Vehicular …, 2024 - ieeexplore.ieee.org
63 天前 - … methods to the existing CACC algorithms. We showed that our methods can further
reduce the stable car … [21], that developed deep reinforcement learning approach for utilizing …
reduce the stable car … [21], that developed deep reinforcement learning approach for utilizing …
Development of Deep Learning Model to Detect Cyber-Attacks within Vehicular Networks
RD Sandakelum, VH Liyanage… - 2024 IEEE World AI …, 2024 - ieeexplore.ieee.org
63 天前 - … In conclusion, most of the available approaches for misbehavior detection systems
mainly detect … Machine learning based approaches may not be sufficient to handle large data …
mainly detect … Machine learning based approaches may not be sufficient to handle large data …
Graph-based multi agent reinforcement learning for on-ramp merging in mixed traffic
D Xu, B Zhang, Q Qiu, H Li, H Guo, B Wang - Applied Intelligence, 2024 - Springer
79 天前 - … This research is primarily concerned with the collaborative control of CAVs in
multi-lane on-ramp merging areas. He et al. [32] have conceptualized each CAV within a merging …
multi-lane on-ramp merging areas. He et al. [32] have conceptualized each CAV within a merging …
A Cooperative Control Methodology Considering Dynamic Interaction for Multiple Connected and Automated Vehicles in the Merging Zone
99 天前 - … This paper introduces a cooperative control behavior methodology called GMA-DRL
for … of deep reinforcement learning with graph neural networks to the autonomous vehicle …
for … of deep reinforcement learning with graph neural networks to the autonomous vehicle …
[图书][B] Advances in Electrical Systems and Innovative Renewable Energy Techniques
M Bendaoud, A El Fathi, FI Bakhsh, S Pierluigi - 2024 - Springer
118 天前 - … of integrated and innovative science-based approaches. Including interdisciplinary
contributions, it presents innovative approaches and highlights how they can best support …
contributions, it presents innovative approaches and highlights how they can best support …
Multi-agent reinforcement learning for ecological car-following control in mixed traffic
121 天前 - … [24] developed a cooperative controller for CAVs in mixed traffic based on MARL. In
… novel cooperative control strategy for CAVs in mixed traffic. In our method, a multi-agent car-…
… novel cooperative control strategy for CAVs in mixed traffic. In our method, a multi-agent car-…