… or the ramp vehicle autonomous. In our experiments, we put the autonomous vehicle on the
main road. The host … Litkouhi, “Intention estimation for ramp merging control in autonomous …

… use this driver’s intention as an input state to train a Twin Delayed Deep Deterministic Policy
Gradients (TD3) agent to learn a cooperative driving policy for highway on-ramp merging. …

… of internal states, ranging from driving style and driver intention to driving maneuvers. Then,
their … Litkouhi, “Intention estimation for ramp merging control in autonomous driving,” in Proc. …

… Purpose – On-ramp merging areas are typical … merging on-ramp vehicles may cause
intensive disturbances on the mainline traffic flow and lead to various negative impacts on traffic …

… -ramp merging area. It employs a decision-making method consisting of a threat assessment
… In the MLV evasive action response, we consider that the MLV only knows the intention of …

… a novel adaptive merging control algorithm for autonomous driving vehicles in … Intention
estimation for ramp merging control in autonomous driving,” in IEEE 28th Intelligent Vehicles …

… merge via parallel-type on-ramp for autonomous vehicles (AVs) … (DQN) that takes dynamic
traffic state as input and outputs … merge, when the rear vehicle observes the merging intention …

… [25] considered the mixed traffic case for on-ramp merging and developed an Artificial
Neural Network (ANN) to predict drivers’ intentions combined with a Deep Reinforcement …

… Given that the main purpose of this study is to examine the ramp merging safety with the
presence of AVs, four simulation scenarios with incremental market penetration rates of AVs are …

… To improve the efficiency of vehicle merging at the on-ramp, this study proposes a cooperative
merging control strategy for network-connected autonomous vehicles. First, the central …