Analysis on Braess paradox and network design considering parking in the autonomous vehicle environment
This study is the first in the literature to examine the Braess paradox considering parking
behavior in the autonomous vehicle (AV) environment, based on which the network design …
behavior in the autonomous vehicle (AV) environment, based on which the network design …
Gin: Graph-based interaction-aware constraint policy optimization for autonomous driving
Applying reinforcement learning to autonomous driving entails particular challenges,
primarily due to dynamically changing traffic flows. To address such challenges, it is …
primarily due to dynamically changing traffic flows. To address such challenges, it is …
Prediction of Autonomous Vehicle Trajectories in Turnaround Scenarios
G Daoud, M El-Darieby… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Trajectory prediction of road agents plays important role in road traffic safety. Both
autonomous vehicles and roadside units can benefit from it. Other than the prediction …
autonomous vehicles and roadside units can benefit from it. Other than the prediction …
Towards a Benchmark for Trajectory Prediction of Autonomous Vehicles
G Daoud, M El-Darieby - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
The technology stack of connected and autonomous vehicles (CAV) consists of sensing,
perception, motion prediction, and motion planning Layers. With much success, the sensing …
perception, motion prediction, and motion planning Layers. With much success, the sensing …