Intersection control with connected and automated vehicles: A review
Purpose-This paper aims to review the studies on intersection control with connected and
automated vehicles (CAVs). Design/methodology/approach-The most seminal and recent …
automated vehicles (CAVs). Design/methodology/approach-The most seminal and recent …
Modeling the car-following behavior with consideration of driver, vehicle, and environment factors: A historical review
J Han, X Wang, G Wang - Sustainability, 2022 - mdpi.com
Car-following behavior is the result of the interaction of various elements in the specific
driver-vehicle-environment aggregation. Under the intelligent and connected condition, the …
driver-vehicle-environment aggregation. Under the intelligent and connected condition, the …
Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs)
longitudinal control for a mixed connected and automated traffic environment based on deep …
longitudinal control for a mixed connected and automated traffic environment based on deep …
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
Vibration-theoretic approach to vulnerability analysis of nonlinear vehicle platoons
This research explores the inherent vulnerability of nonlinear vehicle platoons characterized
by the oscillatory behavior triggered by external perturbations. The perturbation exerted on …
by the oscillatory behavior triggered by external perturbations. The perturbation exerted on …
On string stability of a mixed and heterogeneous traffic flow: A unifying modelling framework
Urged by a close future perspective of a traffic flow made of a mix of human-driven vehicles
and connected, automated vehicles (CAVs), research has recently focused at making the …
and connected, automated vehicles (CAVs), research has recently focused at making the …
A deep reinforcement learning‐based distributed connected automated vehicle control under communication failure
This paper proposes a deep reinforcement learning (DRL)‐based distributed longitudinal
control strategy for connected and automated vehicles (CAVs) under communication failure …
control strategy for connected and automated vehicles (CAVs) under communication failure …
Virtual track networks: A hierarchical modeling framework and open-source tools for simplified and efficient connected and automated mobility (CAM) system design …
This study presents a novel framework and open-source tools for simulating and managing
connected and automated mobility (CAM) systems, taking into account their hierarchical …
connected and automated mobility (CAM) systems, taking into account their hierarchical …
[HTML][HTML] Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
Abstract Model-based reinforcement learning (RL) is anticipated to exhibit higher sample
efficiency than model-free RL by utilizing a virtual environment model. However, obtaining …
efficiency than model-free RL by utilizing a virtual environment model. However, obtaining …
Stability analysis and connected vehicles management for mixed traffic flow with platoons of connected automated vehicles
Y Qin, Q Luo, H Wang - Transportation Research Part C: Emerging …, 2023 - Elsevier
Recently, the market has witnessed the emergence of intelligent vehicles equipped with
diverse functionalities. Among these are connected automated vehicles (CAVs) boasting a …
diverse functionalities. Among these are connected automated vehicles (CAVs) boasting a …