Abstract Recent advances in Intelligent Transport Systems (ITS) and Artificial Intelligence (AI) have stimulated and paved the way toward the widespread introduction of Autonomous …
G Li, Y Yang, S Li, X Qu, N Lyu, SE Li - Transportation research part C …, 2022 - Elsevier
Driving safety is the most important element that needs to be considered for autonomous vehicles (AVs). To ensure driving safety, we proposed a lane change decision-making …
S Aradi - IEEE Transactions on Intelligent Transportation …, 2020 - ieeexplore.ieee.org
Academic research in the field of autonomous vehicles has reached high popularity in recent years related to several topics as sensor technologies, V2X communications, safety …
S Zhao, S Zhang, J Liu, H Wang, J Zhu, D Li, R Zhao - Aquaculture, 2021 - Elsevier
Among the background of developments in automation and intelligence, machine learning technology has been extensively applied in aquaculture in recent years, providing a new …
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs) longitudinal control for a mixed connected and automated traffic environment based on deep …
A model used for velocity control during car following is proposed based on reinforcement learning (RL). To optimize driving performance, a reward function is developed by …
Y He, Y Liu, L Yang, X Qu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
In this study, we explore the problem of adaptive vehicle trajectory control for different risk levels. Firstly, we introduce a sliding window-based car-following scenario extraction …
S Guo, X Zhang, Y Zheng, Y Du - Sensors, 2020 - mdpi.com
Deep reinforcement learning (DRL) has excellent performance in continuous control problems and it is widely used in path planning and other fields. An autonomous path …
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 …