Lane-changing trajectory control strategy on fuel consumption in an iterative learning framework
A novel lane-changing trajectory control strategy in an iterative learning framework is
proposed and its impact on fuel consumption of the off-ramp traffic system is analyzed in this …
proposed and its impact on fuel consumption of the off-ramp traffic system is analyzed in this …
Iterative learning control for lane-changing trajectories upstream off-ramp bottlenecks and safety evaluation
This paper proposes an iterative learning control framework for lane changing to improve
traffic operation and safety at a diverging area nearby a highway off-ramp in an environment …
traffic operation and safety at a diverging area nearby a highway off-ramp in an environment …
An evolutionary learning framework of lane-changing control for autonomous vehicles at freeway off-ramps
This paper proposes a lateral control strategy for autonomous vehicles (AVs) and develops
an evolutionary learning framework for off-ramps. Random forest (RF) and back-propagation …
an evolutionary learning framework for off-ramps. Random forest (RF) and back-propagation …
A Novel Dynamic Lane‐Changing Trajectory Planning Model for Automated Vehicles Based on Reinforcement Learning
C Yu, A Ni, J Luo, J Wang, C Zhang… - Journal of advanced …, 2022 - Wiley Online Library
Lane changing behavior has a significant impact on traffic efficiency and may lead to traffic
delays or even accidents. It is important to plan a safe and efficient lane‐changing trajectory …
delays or even accidents. It is important to plan a safe and efficient lane‐changing trajectory …
A hierarchical framework for multi-lane autonomous driving based on reinforcement learning
This paper proposes a hierarchical framework integrating deep reinforcement learning
(DRL) and rule-based methods for multi-lane autonomous driving. We define an …
(DRL) and rule-based methods for multi-lane autonomous driving. We define an …
Inverse reinforcement learning based: Segmented lane-change trajectory planning with consideration of interactive driving intention
Y Sun, Y Chu, T Xu, J Li, X Ji - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
One of the most challenging problems in autonomous driving is trajectory planning for lane
changes. Conventional trajectory planning is generally realized by optimizing a specific cost …
changes. Conventional trajectory planning is generally realized by optimizing a specific cost …
A fuzzy-inference-based reinforcement learning method of overtaking decision making for automated vehicles
Q Wu, S Cheng, L Li, F Yang, LJ Meng… - Proceedings of the …, 2022 - journals.sagepub.com
Intelligent decision control is one key issue of automated vehicles. Complex dynamic traffic
flow and multi-requirement of passengers including vehicle safety, comfort, vehicle efficiency …
flow and multi-requirement of passengers including vehicle safety, comfort, vehicle efficiency …
Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach
It has been well recognized that human driver's limits, heterogeneity, and selfishness
substantially compromise the performance of our urban transport systems. In recent years, in …
substantially compromise the performance of our urban transport systems. In recent years, in …
Lane change intention awareness for assisted and automated driving on highways
T Rehder, A Koenig, M Goehl, L Louis… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Today the automotive industry faces a robust trend toward assisted and automated driving.
The technology to accomplish this ambition has evolved rapidly over the last few years, and …
The technology to accomplish this ambition has evolved rapidly over the last few years, and …
Development of an efficient driving strategy for connected and automated vehicles at signalized intersections: A reinforcement learning approach
The concept of Connected and Automated Vehicles (CAVs) enables instant traffic
information to be shared among vehicle networks. With this newly proposed concept, a …
information to be shared among vehicle networks. With this newly proposed concept, a …