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 …
Car-following models for human-driven vehicles and autonomous vehicles: A systematic review
The focus of car-following models is to analyze the microscopic characteristics of traffic
flows, with particular attention given to the interaction between adjacent vehicles. This paper …
flows, with particular attention given to the interaction between adjacent vehicles. This paper …
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 …
Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach
It has been well recognized that human driver's limits, heterogeneity, and selfishness
substantially compromise the performance of our urban transport systems. In recent years, in …
substantially compromise the performance of our urban transport systems. In recent years, in …
A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoon
This paper proposes an innovative distributed longitudinal control strategy for connected
automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …
automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …
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
M Montanino, V Punzo - Transportation Research Part B: Methodological, 2021 - Elsevier
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 …
A reinforcement learning-based vehicle platoon control strategy for reducing energy consumption in traffic oscillations
The vehicle platoon will be the most dominant driving mode on future roads. To the best of
our knowledge, few reinforcement learning (RL) algorithms have been applied in vehicle …
our knowledge, few reinforcement learning (RL) algorithms have been applied in vehicle …