Editfollower: Tunable car following models for customizable adaptive cruise control systems
In the realm of driving technologies, fully autonomous vehicles have not been widely
adopted yet, making advanced driver assistance systems (ADAS) crucial for enhancing …
adopted yet, making advanced driver assistance systems (ADAS) crucial for enhancing …
Exploring the design of reward functions in deep reinforcement learning-based vehicle velocity control algorithms
The application of deep reinforcement learning (DRL) techniques in intelligent transportation
systems garners significant attention. In this field, reward function design is a crucial factor …
systems garners significant attention. In this field, reward function design is a crucial factor …
A deep learning method for traffic light status recognition
L Yang, Z He, X Zhao, S Fang, J Yuan… - Journal of Intelligent …, 2023 - ieeexplore.ieee.org
Real-time and accurate traffic light status recognition can provide reliable data support for
autonomous vehicle decision-making and control systems. To address potential problems …
autonomous vehicle decision-making and control systems. To address potential problems …
On-ramp mixed traffic flow merging model with connected and autonomous vehicles.
XY Kuang, HB Xiao, XL Huan - Advances in Transportation …, 2024 - search.ebscohost.com
The impacts of merging on mixed traffic flow in the highway on-ramp zone are numerically
investigated in this paper. An on-ramp mixed traffic flow merging model is proposed. Our …
investigated in this paper. An on-ramp mixed traffic flow merging model is proposed. Our …
[PDF][PDF] Generative Models for the Evolution of Transportation Systems
Y Hea, H Linb, L Yanga, Y Liuc - researchgate.net
As the development of big data and artificial intelligence accelerates, many studies have
begun to incorporate methods of machine learning and deep learning to address …
begun to incorporate methods of machine learning and deep learning to address …