Genfollower: Enhancing car-following prediction with large language models
X Chen, M Peng, PH Tiu, Y Wu, J Chen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Accurate modeling of car-following behaviors is crucial for autonomous driving systems.
While recent advancements in large language models (LLMs) have shown promise in …
While recent advancements in large language models (LLMs) have shown promise in …
Safety evaluation of mixed traffic flow with truck platoons equipped with (cooperative) adaptive cruise control, stochastic human-driven cars and trucks on port …
This study examines the operational safety levels of a novel, complex traffic flow mixed with
truck platoons equipped with (cooperative) adaptive cruise control, known as TPs-(C) ACC …
truck platoons equipped with (cooperative) adaptive cruise control, known as TPs-(C) ACC …
Carl: Congestion-aware reinforcement learning for imitation-based perturbations in mixed traffic control
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 …
[HTML][HTML] Beyond behavioural change: Investigating alternative explanations for shorter time headways when human drivers follow automated vehicles
Abstract Integrating Automated Vehicles (AVs) into existing traffic systems holds the promise
of enhanced road safety, reduced congestion, and more sustainable travel. Effective …
of enhanced road safety, reduced congestion, and more sustainable travel. Effective …
Accelerated Testing and Evaluation for Black-Box Autonomous Driving Systems via Adaptive Markov Chain Monte Carlo
Black-box decision-making algorithms based on deep learning and reinforcement learning
have demonstrated significant advancements in autonomous vehicles (AVs), but still …
have demonstrated significant advancements in autonomous vehicles (AVs), but still …
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors
In pursuit of autonomous vehicles, achieving human-like driving behavior is vital. This study
introduces adaptive autopilot (AA), a unique framework utilizing constrained-deep …
introduces adaptive autopilot (AA), a unique framework utilizing constrained-deep …
On the Constrained CAV Platoon Control Problem
The main objective of the connected and automated vehicle (CAV) platoon control problem
is to regulate CAVs' position while ensuring stability and accounting for vehicle dynamics …
is to regulate CAVs' position while ensuring stability and accounting for vehicle dynamics …
Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations
This paper examines the influence of two selected car-following models on the outcomes of
microscopic traffic simulations. The authors begin by reviewing the literature on the various …
microscopic traffic simulations. The authors begin by reviewing the literature on the various …
Research on Phase Diagram of an Improved Dual-Lane Heterogeneous Lattice Hydrodynamic Model Considering Curved Road
Y Xu, R Cheng - International Journal of Applied Mechanics, 2024 - ui.adsabs.harvard.edu
The actual road traffic is a heterogeneous traffic flow composed of various types of vehicles.
Ensuring safe operation of different types of vehicles while improving traffic stabilization has …
Ensuring safe operation of different types of vehicles while improving traffic stabilization has …
A Transitional Intelligent Driver Model Enabling Vehicle Longitudinal Motion Prediction in Lane-Change Maneuvers
This paper proposes an extension of the Intelligent Driver Model (IDM) for predicting the
vehicle longitudinal motion intentions during lane-changing maneuvers. The extension …
vehicle longitudinal motion intentions during lane-changing maneuvers. The extension …