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A Physics-Informed Generative Car-Following Model for Connected Autonomous Vehicles [PDF]

open access: yesEntropy, 2023
This paper proposes a novel hybrid car-following model: the physics-informed conditional generative adversarial network (PICGAN), designed to enhance multi-step car-following modeling in mixed traffic flow scenarios.
Lijing Ma   +4 more
doaj   +2 more sources

Robust Autonomous Intersection Control Approach for Connected Autonomous Vehicles [PDF]

open access: yesIEEE Access, 2020
Traffic light-free intersection control is envisioned to alleviate congestion and manage vehicles intelligently. With the help of vehicle-to-infrastructure (V2I) communication and edge computing (EC), vehicles are instructed to cross the intersection ...
Yuheng Zhang   +4 more
doaj   +2 more sources

Knowledge-guided self-learning control strategy for mixed vehicle platoons with delays [PDF]

open access: yesNature Communications
As autonomous vehicles and traditional vehicles will coexist for several decades, how to efficiently manage the mixed traffic, while enhancing road throughput, fuel consumption and traffic stability becomes a challenge.
Jingyao Wang   +7 more
doaj   +2 more sources

Communicating with two vehicles immediately ahead boosts traffic capacity sixfold in connected autonomous vehicle platoons [PDF]

open access: yesCommunications Engineering
Addressing urban congestion through enhanced traffic capacity has emerged as a critical objective for connected autonomous driving technologies. An irredundant communication connectivity topology is essential for ensuring the high efficiency and ...
Shi-Teng Zheng   +12 more
doaj   +2 more sources

Resilient coordinated movement of connected autonomous vehicles [PDF]

open access: yesEuropean Journal of Control, 2022
In this paper, we consider coordinated movement of a network of vehicles consisting of a bounded number of malicious agents, that is, vehicles must reach consensus in longitudinal position and a common predefined velocity. The motions of vehicles are modeled by double-integrator dynamics and communications over the network are asynchronous with delays.
Mostafa Safi   +2 more
openaire   +2 more sources

Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages

open access: yesSensors, 2021
The use of neural networks and reinforcement learning has become increasingly popular in autonomous vehicle control. However, the opaqueness of the resulting control policies presents a significant barrier to deploying neural network-based control in ...
Sampo Kuutti   +2 more
doaj   +1 more source

A fault-tolerant and robust controller using model predictive path integral control for free-flying space robots

open access: yesFrontiers in Robotics and AI, 2022
The use of manipulators in space missions has become popular, as their applications can be extended to various space missions such as on-orbit servicing, assembly, and debris removal.
Mehran Raisi   +2 more
doaj   +1 more source

Probabilistic Meta-Conv1D Driving Energy Prediction for Mobile Robots in Unstructured Terrains

open access: yesIEEE Access, 2022
Driving energy consumption plays an important role in the navigation of autonomous mobile robots in off-road scenarios. However, the accuracy of the driving energy predictions is often affected by a high degree of uncertainty due to unknown and ...
Marco Visca   +3 more
doaj   +1 more source

Deep Meta-Learning Energy-Aware Path Planner for Unmanned Ground Vehicles in Unknown Terrains

open access: yesIEEE Access, 2022
This paper presents an adaptive energy-aware prediction and planning framework for vehicles navigating over terrains with varying and unknown properties.
Marco Visca   +3 more
doaj   +1 more source

Experimentation and Assessment of Pseudonym Certificate Management and Misbehavior Detection in C-ITS

open access: yesIEEE Open Journal of Intelligent Transportation Systems, 2021
In Cooperative Intelligent Transportation Systems (C-ITS), vehicles can communicate with one another and with the infrastructure. The openness of the transportation system to new functionalities and use cases may create new vulnerabilities that must be ...
Farah Haidar   +5 more
doaj   +1 more source

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