Can chatgpt enable its? the case of mixed traffic control via reinforcement learning
The surge in Reinforcement Learning (RL) applications in Intelligent Transportation Systems
(ITS) has contributed to its growth as well as highlighted key challenges. However, defining …
(ITS) has contributed to its growth as well as highlighted key challenges. However, defining …
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
Microscopic traffic simulation plays a crucial role in transportation engineering by providing
insights into individual vehicle behavior and overall traffic flow. However creating a realistic …
insights into individual vehicle behavior and overall traffic flow. However creating a realistic …
Learning to Change: Choreographing Mixed Traffic Through Lateral Control and Hierarchical Reinforcement Learning
The management of mixed traffic that consists of robot vehicles (RVs) and human-driven
vehicles (HVs) at complex intersections presents a multifaceted challenge. Traditional signal …
vehicles (HVs) at complex intersections presents a multifaceted challenge. Traditional signal …
Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation
J Hossain - arXiv preprint arXiv:2306.11217, 2023 - arxiv.org
Nowadays, autonomous vehicles are gaining traction due to their numerous potential
applications in resolving a variety of other real-world challenges. However, developing …
applications in resolving a variety of other real-world challenges. However, developing …
Analyzing emissions and energy efficiency in mixed traffic control at unsignalized intersections
Greenhouse gas emissions have dramatically risen since the early 1900s with US
transportation generating 28% of the US'emissions. As such, there is interest in reducing …
transportation generating 28% of the US'emissions. As such, there is interest in reducing …
CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control
B Poudel, W Li - arXiv preprint arXiv:2404.00796, 2024 - arxiv.org
Human-driven vehicles (HVs) exhibit complex and diverse behaviors. Accurately modeling
such behavior is crucial for validating Robot Vehicles (RVs) in simulation and realizing the …
such behavior is crucial for validating Robot Vehicles (RVs) in simulation and realizing the …
Mixed traffic control and coordination from pixels
Traffic congestion is a persistent problem in our society. Previous methods for traffic control
have proven futile in alleviating current congestion levels leading researchers to explore …
have proven futile in alleviating current congestion levels leading researchers to explore …
Analyzing Behaviors of Mixed Traffic via Reinforcement Learning at Unsignalized Intersections
S Sarker - arXiv preprint arXiv:2312.05325, 2023 - arxiv.org
In this report, we delve into two critical research inquiries. Firstly, we explore the extent to
which Reinforcement Learning (RL) agents exhibit multimodal distributions in the context of …
which Reinforcement Learning (RL) agents exhibit multimodal distributions in the context of …
Beyond Simulated Drivers: Evaluating the Impact of Real-World Car-Following in Mixed Traffic Control
B Poudel, W Li - arXiv preprint arXiv:2311.12261, 2023 - arxiv.org
Human-driven vehicles can amplify naturally occurring perturbations in traffic, leading to
congestion and consequently increased fuel consumption, higher collision risks, and …
congestion and consequently increased fuel consumption, higher collision risks, and …
Traffic Reconstruction and Analysis of Natural Driving Behaviors at Unsignalized Intersections
S Sarker, B Poudel, M Villarreal, W Li - arXiv preprint arXiv:2312.14561, 2023 - arxiv.org
This paper explores the intricacies of traffic behavior at unsignalized intersections through
the lens of a novel dataset, combining manual video data labeling and advanced traffic …
the lens of a novel dataset, combining manual video data labeling and advanced traffic …