Automated driving highway traffic merging using deep multi-agent reinforcement learning in continuous state-action spaces
L Schester, LE Ortiz - 2021 IEEE Intelligent Vehicles …, 2021 - ieeexplore.ieee.org
Achieving the highest levels of automated driving will require effective solutions to the key
challenging maneuver of highway on-ramp merging. This paper extends our previous work …
challenging maneuver of highway on-ramp merging. This paper extends our previous work …
Longitudinal position control for highway on-ramp merging: A multi-agent approach to automated driving
L Schester, LE Ortiz - 2019 IEEE Intelligent Transportation …, 2019 - ieeexplore.ieee.org
Highly automated driving requires effective handling of many complex scenarios. Here we
study a specific important task of highly automated driving: merging into traffic from a …
study a specific important task of highly automated driving: merging into traffic from a …
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 …
Learning highway ramp merging via reinforcement learning with temporally-extended actions
Several key scenarios, such as intersection navigation, lane changing, and ramp merging,
are active areas of research in autonomous driving. In order to properly navigate these …
are active areas of research in autonomous driving. In order to properly navigate these …
Autonomous highway merging in mixed traffic using reinforcement learning and motion predictive safety controller
Deep reinforcement learning (DRL) has a great potential for solving complex decision-
making problems in autonomous driving, especially in mixed-traffic scenarios where …
making problems in autonomous driving, especially in mixed-traffic scenarios where …
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 …
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 …
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 …
Reinforcement learning with iterative reasoning for merging in dense traffic
Maneuvering in dense traffic is a challenging task for autonomous vehicles because it
requires reasoning about the stochastic behaviors of many other participants. In addition, the …
requires reasoning about the stochastic behaviors of many other participants. In addition, the …
A multi-agent deep reinforcement learning coordination framework for connected and automated vehicles at merging roadways
The steady increase in the number of vehicles operating on the highways continues to
exacerbate congestion, accidents, energy consumption, and greenhouse gas emissions …
exacerbate congestion, accidents, energy consumption, and greenhouse gas emissions …