Deep reinforcement learning for cyber security
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 …
being exposed to cyberattacks more than ever. The complexity and dynamics of …
[HTML][HTML] Trajectory data-based traffic flow studies: A revisit
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 …
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
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 …
standard equipment in modern commercial vehicles. Their penetration rate in the fleet is …
ChatGPT as your vehicle co-pilot: An initial attempt
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 …
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 …
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
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 …
connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) coexist …
Velocity control in car-following behavior with autonomous vehicles using reinforcement learning
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 …
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
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 …
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 …
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 …
vehicles (AVs) and human-driving vehicles (HDVs) in the future, this paper calibrated the …