Social-aware decision algorithm for on-ramp merging based on level-k gaming

D Li, H Pan, Y Xiao, B Li, L Chen, H Li… - 2022 IEEE 18th …, 2022 - ieeexplore.ieee.org
On-ramp merging is often associated with highly dynamic interactions between ego and
other vehicles, which are more challenging in dense traffic. Considering both the overall …

Personalized Gap Selection Algorithm for On-ramp Merging Based on Virtual Game

Y Xiao, B Li, B Xiao, H Pan, H Lyu… - 2022 WRC Symposium …, 2022 - ieeexplore.ieee.org
On-ramp merging is a challenging task to tackle for driving intelligence for high-level
automated driving, in which selecting a suitable gap is vital for safety and efficiency. To take …

Nash double Q-based multi-agent deep reinforcement learning for interactive merging strategy in mixed traffic

L Li, W Zhao, C Wang, A Fotouhi, X Liu - Expert Systems with Applications, 2024 - Elsevier
The interaction between ramp and mainline vehicles plays a crucial role in merging areas,
especially in the mixed-traffic environment. The driving behaviours of human drivers are …

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 …

On social interactions of merging behaviors at highway on-ramps in congested traffic

H Wang, W Wang, S Yuan, X Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Merging at highway on-ramps while interacting with other human-driven vehicles is
challenging for autonomous vehicles (AVs). An efficient route to this challenge requires …

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 …

Multi-agent Reinforcement Learning for Safe Driving in On-ramp Merging of Autonomous Vehicles

D Wang - 2024 14th International Conference on Cloud …, 2024 - ieeexplore.ieee.org
Although technology advances these years, the optimization problem of coordinating
autonomous merging high-ways is challenging. This paper aims to achieve a smooth and …

Deep reinforcement learning algorithm based ramp merging decision model

Z Chen, Y Du, A Jiang, S Miao - Proceedings of the …, 2024 - journals.sagepub.com
On-ramp merge is a complex traffic scenario in autonomous driving. Because of the
uncertainty of the driving environment, most rule-based models cannot solve such a …

A Game Lane Changing Model Considering Driver's Risk Level in Ramp Merging Scenario

G Yang, S Liu, M Ye, C Tang, Y Fan, Y Liu - World Electric Vehicle …, 2023 - mdpi.com
A ramp merging decision as an important part of the lane change model plays a crucial role
in the efficiency and safety of the entire merging process. However, due to the inevitability of …

Deep multi-agent reinforcement learning for highway on-ramp merging in mixed traffic

D Chen, MR Hajidavalloo, Z Li, K Chen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
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 …