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Machine Learning based intrusion detection systems for connected autonomous vehicles: A survey
Connected and Autonomous Vehicles (CAVs) expect to dramatically improve road safety and efficiency of the transportation system. However, CAVs can be...
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A time and energy efficient merging control for platoon formation of connected and automated electric vehicles at on-ramps
On-ramps are one of common traffic congestion scenarios, which lead to reduced time and energy efficiency and cause range anxiety for electric...
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Integrating cyber-attacks on the continuous delay effect in coupled map car-following model under connected vehicles environment
Under connected vehicles environment, we proposed a new coupled map car-following model integrating cyber-attacks on the continuous delay effect...
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Review and Perspectives on Human Emotion for Connected Automated Vehicles
The progression toward automated driving and the latest advancement in vehicular networking have led to novel and natural human-vehicle-road systems,...
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Cooperative Adaptive Sliding Mode Platoon Control of Intelligent Connected Vehicles under Communication Interruption
This paper tackles the problem of intelligent connected vehicles platoon stability for the vehicle cooperative control system in the presence of...
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PIER: cyber-resilient risk assessment model for connected and autonomous vehicles
As more vehicles are being connected to the Internet and equipped with autonomous driving features, more robust safety and security measures are...
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ACO-based traffic routing method with automated negotiation for connected vehicles
Most traffic control systems are centralized, where all the collected data can be analyzed to make a decision. However, there are problems with...
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Connected Vehicles and Driving Automation Systems
With advancements in vehicle and road automation, vehicle control and decision-making responsibility are shifting from the driver to the system – or,... -
Fuzzy Unknown Input Observer for Estimating Sensor and Actuator Cyber-Attacks in Intelligent Connected Vehicles
The detection and mitigation of cyber-attacks in connected vehicle systems (CVSs) are critical for ensuring the security of intelligent connected...
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Decision-making for Connected and Automated Vehicles in Chanllenging Traffic Conditions Using Imitation and Deep Reinforcement Learning
Decision-making is the “brain” of connected and automated vehicles (CAVs) and is vitally critical to the safety of CAVs. The most of driving data...
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Estimating Bridge Modal Parameters from Residual Response of Two-Connected Vehicles
PurposeThis study presents a method to estimate the bridge frequencies, dam** ratios and mode shapes from the responses of two connected...
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Robust Gain-scheduling Control of Dynamic Lateral Obstacle Avoidance for Connected and Automated Vehicles
Dynamic trajectory planning (DTP) and Dynamic trajectory tracking (DTT) are the real-time mutual coupling in the process of the dynamic lateral...
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Deep learning based on connected vehicles for icing pavement detection
Slippery road conditions, such as snowy, icy or slushy pavements, are one of the major threats to road safety in winter. The U.S. Department of...
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Highly efficient approach for discordant BSMs detection in connected vehicles environment
Connected Vehicles (CVs) are the key enabling technology for Intelligent Transportation Systems (ITSs) that offer great opportunities for improving...
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A bayesian-based distributed trust management scheme for connected vehicles’ security
Vehicular ad-hoc networks (VANETs) enable communication in an intelligent transportation system. The vehicles periodically send one-hop beacons to...
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Optimizing longitudinal control model parameters of connected and automated vehicles using empirical trajectory data of human drivers in risky car-following scenarios
Connected and automated vehicles (CAVs) have great potential to improve driving safety. A basic performance evaluation criterion of CAVs is whether...
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Networked Control Systems for Connected and Automated Vehicles Volume 2
Control of large-scale distributed energy systems over communication networks is an important topic with many application domains. The book presents... -
Modeling car-following behavior in heterogeneous traffic mixing human-driven, automated and connected vehicles: considering multitype vehicle interactions
In this study, a car-following model is put forth to explain the car-following behavior of HDVs (human-driven vehicles), AVs (autonomous vehicles)...
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Stochastic speed prediction for connected vehicles using improved bayesian networks with back propagation
Advanced vehicular control technologies rely on accurate speed prediction to make ecological and safe decisions. This paper proposes a novel...
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Distributed event-triggered adaptive robust platoon control of connected vehicles with uncertainties subject to invalid communication
This paper tackles the problem of connected vehicle platoon realistic control for the vehicle cooperative control system with the longitudinal...