Deep reinforcement learning for cyber security

TT Nguyen, VJ Reddi - IEEE Transactions on Neural Networks …, 2021 - ieeexplore.ieee.org
The scale of Internet-connected systems has increased considerably, and these systems are
being exposed to cyberattacks more than ever. The complexity and dynamics of …

[HTML][HTML] Trajectory data-based traffic flow studies: A revisit

L Li, R Jiang, Z He, XM Chen, X Zhou - Transportation Research Part C …, 2020 - Elsevier
In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …

[HTML][HTML] OpenACC. An open database of car-following experiments to study the properties of commercial ACC systems

M Makridis, K Mattas, A Anesiadou, B Ciuffo - Transportation research part …, 2021 - Elsevier
Abstract Adaptive Cruise Control (ACC) systems are becoming increasingly available as a
standard equipment in modern commercial vehicles. Their penetration rate in the fleet is …

ChatGPT as your vehicle co-pilot: An initial attempt

S Wang, Y Zhu, Z Li, Y Wang, L Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
One of the most challenging problems in human-machine co-work is the gap between
human intention and the machine's understanding and execution. Large Language Models …

A sequence to sequence learning based car-following model for multi-step predictions considering reaction delay

L Ma, S Qu - Transportation research part C: emerging technologies, 2020 - Elsevier
Car-following behavior modeling is of great importance for traffic simulation and analysis.
Considering the multi-steps decision-making process in human driving, we propose a …

Robust platoon control in mixed traffic flow based on tube model predictive control

S Feng, Z Song, Z Li, Y Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The design of cooperative adaptive cruise control is critical in mixed traffic flow, where
connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) coexist …

Velocity control in car-following behavior with autonomous vehicles using reinforcement learning

Z Wang, H Huang, J Tang, X Meng, L Hu - Accident Analysis & Prevention, 2022 - Elsevier
Car-following behavior is a common driving behavior. It is necessary to consider the
following vehicle in the car-following model of autonomous vehicle (AV) under the …

Car-following models for human-driven vehicles and autonomous vehicles: A systematic review

Z Wang, Y Shi, W Tong, Z Gu… - Journal of transportation …, 2023 - ascelibrary.org
The focus of car-following models is to analyze the microscopic characteristics of traffic
flows, with particular attention given to the interaction between adjacent vehicles. This paper …

Personalized car-following control based on a hybrid of reinforcement learning and supervised learning

D Song, B Zhu, J Zhao, J Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of intelligent vehicles, more research has focused on achieving
human-like driving. As an important component of intelligent vehicle control, car-following …

Theory-data dual driven car following model in traffic flow mixed of AVs and HDVs

Z Yu, J Zhao, R Jiang, J Shen, D Wu… - … Research Part C …, 2024 - Elsevier
To model the car following (CF) behavior of mixed traffic flow composed of autonomous
vehicles (AVs) and human-driving vehicles (HDVs) in the future, this paper calibrated the …