A survey on intelligent Internet of Things: Applications, security, privacy, and future directions
The rapid advances in the Internet of Things (IoT) have promoted a revolution in
communication technology and offered various customer services. Artificial intelligence (AI) …
communication technology and offered various customer services. Artificial intelligence (AI) …
Review on eco-driving control for connected and automated vehicles
With the development of communication and automation technologies, the great energy-
saving potential of connected and automated vehicles (CAVs) has gradually been …
saving potential of connected and automated vehicles (CAVs) has gradually been …
Energy efficient speed planning of electric vehicles for car-following scenario using model-based reinforcement learning
Eco-driving is a term used to refer to a strategy for operating vehicles so as to minimize
energy consumption. Without any hardware changes, eco-driving is an effective approach to …
energy consumption. Without any hardware changes, eco-driving is an effective approach to …
Safe model-based off-policy reinforcement learning for eco-driving in connected and automated hybrid electric vehicles
Deep Reinforcement Learning (DRL) has recently been applied to eco-driving to intelligently
reduce fuel consumption and travel time. While previous studies synthesize simulators and …
reduce fuel consumption and travel time. While previous studies synthesize simulators and …
Intersense: An XGBoost model for traffic regulator identification at intersections through crowdsourced GPS data
Digital maps of the transportation network are the foundation of future mobility solutions.
Autonomous and connected vehicles rely on real-time, at-scale updating of the environment …
Autonomous and connected vehicles rely on real-time, at-scale updating of the environment …
A gain with no pain: Exploring intelligent traffic signal control for emergency vehicles
For the emergency response, every second counts. Intersections are prone to congestion,
which greatly hinders the fast response of emergency vehicles. Although emergency …
which greatly hinders the fast response of emergency vehicles. Although emergency …
A deep reinforcement learning framework for eco-driving in connected and automated hybrid electric vehicles
Connected and Automated Vehicles (CAVs), in particular those with multiple power sources,
have the potential to significantly reduce fuel consumption and travel time in real-world …
have the potential to significantly reduce fuel consumption and travel time in real-world …
A survey on reinforcement learning-based control for signalized intersections with connected automated vehicles
Recent advancements in connected automated vehicles (CAVs) and reinforcement learning
(RL) hold significant promise for enhancing intelligent traffic control systems. This paper …
(RL) hold significant promise for enhancing intelligent traffic control systems. This paper …
A hierarchical robust control strategy for decentralized signal-free intersection management
The development of connected and automated vehicles (CAVs) is the key to improving
urban mobility safety and efficiency. This article focuses on cooperative vehicle …
urban mobility safety and efficiency. This article focuses on cooperative vehicle …
Energy-Saving Speed Planning for Electric Vehicles Based on RHRL in Car following Scenarios
H Xu, N Zhang, Z Li, Z Zhuo, Y Zhang, Y Zhang, H Ding - Sustainability, 2023 - mdpi.com
Eco-driving is a driving vehicle strategy aimed at minimizing energy consumption; that is, it is
a method to improve vehicle efficiency by optimizing driving behavior without making any …
a method to improve vehicle efficiency by optimizing driving behavior without making any …