Novel decision-making strategy for connected and autonomous vehicles in highway on-ramp merging
Z el abidine Kherroubi, S Aknine… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
High-speed highway on-ramp merging is a significant challenge toward realizing fully
automated driving (level 4). Connected Autonomous Vehicles (CAVs), that combine …
automated driving (level 4). Connected Autonomous Vehicles (CAVs), that combine …
A deep reinforcement learning-based approach for autonomous driving in highway on-ramp merge
H Wang, S Yuan, M Guo, X Li… - Proceedings of the …, 2021 - journals.sagepub.com
In this paper, we focus on the problem of highway merge via parallel-type on-ramp for
autonomous vehicles (AVs) in a decentralized non-cooperative way. This problem is …
autonomous vehicles (AVs) in a decentralized non-cooperative way. This problem is …
Deep multi-agent reinforcement learning for highway on-ramp merging in mixed traffic
On-ramp merging is a challenging task for autonomous vehicles (AVs), especially in mixed
traffic where AVs coexist with human-driven vehicles (HDVs). In this paper, we formulate the …
traffic where AVs coexist with human-driven vehicles (HDVs). In this paper, we formulate the …
Anti-jerk on-ramp merging using deep reinforcement learning
Deep Reinforcement Learning (DRL) is used here for decentralized decision-making and
longitudinal control for high-speed on-ramp merging. The DRL environment state includes …
longitudinal control for high-speed on-ramp merging. The DRL environment state includes …
Formulation of deep reinforcement learning architecture toward autonomous driving for on-ramp merge
P Wang, CY Chan - 2017 IEEE 20th International Conference …, 2017 - ieeexplore.ieee.org
Multiple automakers have in development or in production automated driving systems (ADS)
that offer freeway-pilot functions. This type of ADS is typically limited to restricted-access …
that offer freeway-pilot functions. This type of ADS is typically limited to restricted-access …
Autonomous ramp merge maneuver based on reinforcement learning with continuous action space
P Wang, CY Chan - arXiv preprint arXiv:1803.09203, 2018 - arxiv.org
Ramp merging is a critical maneuver for road safety and traffic efficiency. Most of the current
automated driving systems developed by multiple automobile manufacturers and suppliers …
automated driving systems developed by multiple automobile manufacturers and suppliers …
An efficient on-ramp merging strategy for connected and automated vehicles in multi-lane traffic
J Liu, W Zhao, C Xu - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
On-ramp merging scenario has a great impact on traffic efficiency and fuel economy. At
present, most research on-ramp merging focuses on the optimization of merging sequence …
present, most research on-ramp merging focuses on the optimization of merging sequence …
Deep merging: Vehicle merging controller based on deep reinforcement learning with embedding network
Vehicles at highway merging sections must make lane changes to join the highway. This
lane change can generate congestion. To reduce congestion, vehicles should merge so as …
lane change can generate congestion. To reduce congestion, vehicles should merge so as …
Connected and automated vehicles in mixed-traffic: Learning human driver behavior for effective on-ramp merging
Highway merging scenarios featuring mixed traffic conditions pose significant modeling and
control challenges for connected and automated vehicles (CAVs) interacting with incoming …
control challenges for connected and automated vehicles (CAVs) interacting with incoming …
Hierarchical optimal maneuver planning and trajectory control at on-ramps with multiple mainstream lanes
Connected Automated Vehicles (CAVs) have the potential to improve traffic operations when
they cooperatively maneuver in merging sections. State-of-the-art approaches in …
they cooperatively maneuver in merging sections. State-of-the-art approaches in …