Model predictive control for autonomous ground vehicles: a review
This paper reviews model predictive control (MPC) and its wide applications to both single
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …
Intelligent transportation systems (ITS): A systematic review using a Natural Language Processing (NLP) approach
TD Putri - Heliyon, 2021 - cell.com
Abstract Intelligent Transportation Systems (ITS) is not a new concept. Notably, ITS has been
cited in various journal articles and proceedings papers around the world, and it has …
cited in various journal articles and proceedings papers around the world, and it has …
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 …
Centralized cooperation for connected and automated vehicles at intersections by proximal policy optimization
Connected vehicles will change the modes of future transportation management and
organization, especially at an intersection without traffic light. Centralized coordination …
organization, especially at an intersection without traffic light. Centralized coordination …
Data-driven robust predictive control for mixed vehicle platoons using noisy measurement
This paper investigates cooperative adaptive cruise control (CACC) for mixed platoons
consisting of both human-driven vehicles (HVs) and automated vehicles (AVs). This …
consisting of both human-driven vehicles (HVs) and automated vehicles (AVs). This …
Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles
Connected automated vehicles (CAVs) are broadly recognized as next-generation
transformative transportation technologies having great potential to improve traffic safety …
transformative transportation technologies having great potential to improve traffic safety …
Revolution on wheels: A survey on the positive and negative impacts of connected and automated vehicles in era of mixed-autonomy
With the development of autonomous driving technology, it is foreseeable that connected
and automated vehicles (CAVs) will be fully popularized in people's lives. During this …
and automated vehicles (CAVs) will be fully popularized in people's lives. During this …
Disturbance observer-based cooperative control of vehicle platoons subject to mismatched disturbance
The connected and automated vehicle (CAV) technique is a critical application of intelligent
vehicles (IV) and is gaining widespread attention for its prospects of increasing driving …
vehicles (IV) and is gaining widespread attention for its prospects of increasing driving …
Autonomous platoon control with integrated deep reinforcement learning and dynamic programming
Autonomous vehicles in a platoon determine the control inputs based on the system state
information collected and shared by the Internet of Things (IoT) devices. Deep reinforcement …
information collected and shared by the Internet of Things (IoT) devices. Deep reinforcement …