Policy and society related implications of automated driving: A review of literature and directions for future research
In this paper, the potential effects of automated driving that are relevant to policy and society
are explored, findings discussed in literature about those effects are reviewed and areas for …
are explored, findings discussed in literature about those effects are reviewed and areas for …
The robotarium: Globally impactful opportunities, challenges, and lessons learned in remote-access, distributed control of multirobot systems
Distributed control has emerged as a major focus in the systems and controls area, with
multiagent robotics playing a prominent role both as a canonical instantiation of a system …
multiagent robotics playing a prominent role both as a canonical instantiation of a system …
What is semantic communication? A view on conveying meaning in the era of machine intelligence
In the 1940s, Claude Shannon developed the information theory focusing on quantifying the
maximum data rate that can be supported by a communication channel. Guided by this …
maximum data rate that can be supported by a communication channel. Guided by this …
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments
Traffic waves are phenomena that emerge when the vehicular density exceeds a critical
threshold. Considering the presence of increasingly automated vehicles in the traffic stream …
threshold. Considering the presence of increasingly automated vehicles in the traffic stream …
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 …
Operation analysis of freeway mixed traffic flow based on catch-up coordination platoon
X Yang, Y Zou, L Chen - Accident Analysis & Prevention, 2022 - Elsevier
As one of the innovative technologies of intelligent transportation systems (ITS), Connected
and Autonomous Vehicles (CAVs) have been deployed gradually. Given that there will be a …
and Autonomous Vehicles (CAVs) have been deployed gradually. Given that there will be a …
Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles
This study seeks to develop a cooperative platoon control for a platoon mixed with
connected and autonomous vehicles (CAVs) and human-drive vehicles (HDVs), aiming to …
connected and autonomous vehicles (CAVs) and human-drive vehicles (HDVs), aiming to …
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 …
[HTML][HTML] A multi-state train-following model for the analysis of virtual coupling railway operations
The increasing need for capacity has led the railway industry to explore next generation
signalling concepts such as Virtual Coupling which takes moving-block operations further by …
signalling concepts such as Virtual Coupling which takes moving-block operations further by …