Variable speed limit control for mixed traffic flow on highways based on deep-reinforcement learning

H Gao, H Jia, R Wu, Q Huang, J Tian… - … Engineering, Part A …, 2024 - ascelibrary.org
With the development of autonomous driving, a mixed traffic flow state composed of
connected automated vehicles (CAVs) and human-driven vehicles (HVs) will last for an …

Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System

G Liu, Y Hu, C Xu, W Mao, J Ge, Z Huang, Y Lu… - arXiv preprint arXiv …, 2024 - arxiv.org
Vehicle-to-everything-aided autonomous driving (V2X-AD) has a huge potential to provide a
safer driving solution. Despite extensive researches in transportation and communication to …

Automatic emergency collision avoidance of straight-crossing intelligent vehicle at a 90-degree intersection based on vehicle-to-everything technology

F Lai, H Yang, C Huang - SAE International journal of transportation safety, 2023 - sae.org
In order to reduce collision at a 90-degree intersection, an automatic emergency collision
avoidance control method for intelligent vehicles based on vehicle-to-everything (V2X) …

Mirroring human behaviour and machine in autonomous cars

M Cina - 2024 - summit.sfu.ca
The thesis is a modest attempt to study the human-robot collaboration and how robots can
learn from humans in the context of autonomous driving. The research was conducted in five …

Beyond Traditional Simulators: Adopting Videogames for Autonomous Vehicle Testing

A Maaradji, N Bouchemal, I Smadhi… - 2023 IEEE Intl Conf …, 2023 - ieeexplore.ieee.org
This article presents an ongoing research study investigating the potential of using Grand
Theft Auto V (GTAV) as a simulation environment for testing edge cases in self-driving …

[引用][C] Systematic Cause and Consequence Identification for L4 Autonomous Vehicle (AV) Accident Investigation

Y You, M Girdhar, MJ Cho, J Cheon, J Hong, T Song - 2022