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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 …
Planning and decision-making for connected autonomous vehicles at road intersections: A review
Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …
problem in intelligent transportation systems due to the uncertainties caused by a variety of …
[HTML][HTML] Automated vehicle-involved traffic flow studies: A survey of assumptions, models, speculations, and perspectives
Automated vehicles (AVs) are widely considered to play a crucial role in future transportation
systems because of their speculated capabilities in improving road safety, saving energy …
systems because of their speculated capabilities in improving road safety, saving energy …
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 …
Development of an efficient driving strategy for connected and automated vehicles at signalized intersections: A reinforcement learning approach
The concept of Connected and Automated Vehicles (CAVs) enables instant traffic
information to be shared among vehicle networks. With this newly proposed concept, a …
information to be shared among vehicle networks. With this newly proposed concept, a …
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 …
Deep adaptive control: Deep reinforcement learning-based adaptive vehicle trajectory control algorithms for different risk levels
In this study, we explore the problem of adaptive vehicle trajectory control for different risk
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …
A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalised intersection
The advancements in communication and sensing technologies can be exploited to assist
the drivers in making better decisions. In this paper, we consider the design of a real-time …
the drivers in making better decisions. In this paper, we consider the design of a real-time …
Mixed platoon control of automated and human-driven vehicles at a signalized intersection: dynamical analysis and optimal control
The emergence of Connected and Automated Vehicles (CAVs) promises better traffic
mobility for future transportation systems. Existing research mostly focused on fully …
mobility for future transportation systems. Existing research mostly focused on fully …
Safety-critical and flexible cooperative on-ramp merging control of connected and automated vehicles in mixed traffic
Cooperative on-ramp merging control for connected and automated vehicles (CAVs) can
effectively improve traffic throughput and vehicle fuel efficiency at highway on-ramp merging …
effectively improve traffic throughput and vehicle fuel efficiency at highway on-ramp merging …