Scenario engineering for autonomous transportation: A new stage in open-pit mines
In recent years, open-pit mining has seen significant advancement, the cooperative
operation of various specialized machinery substantially enhancing the efficiency of mineral …
operation of various specialized machinery substantially enhancing the efficiency of mineral …
Communication-efficient decentralized multi-agent reinforcement learning for cooperative adaptive cruise control
Connected and autonomous vehicles (CAVs) promise next-gen transportation systems with
enhanced safety, energy efficiency, and sustainability. One typical control strategy for CAVs …
enhanced safety, energy efficiency, and sustainability. One typical control strategy for CAVs …
Dynamics modeling for autonomous container trucks considering unknown parameters
Z Cai, C Wu, Y He, L Gao, Y Du, K Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Autonomous container trucks (ACTs) contribute significantly to transportation efficiency in
ports. Their dynamics modeling is an indispensable component for constructing advanced …
ports. Their dynamics modeling is an indispensable component for constructing advanced …
Metaverse-enabled intelligence for open-terrain field vehicle fleets: Leveraging parallel intelligence and edge computing
Open-terrain field vehicle (OTFV) fleets, including mining trucks, construction machinery,
and agricultural machinery, often encounter significantly more intricate scenarios and …
and agricultural machinery, often encounter significantly more intricate scenarios and …
A Systematic Mapping of Autonomous Vehicle Prototypes: Trends and Opportunities
E Silva, F Soares, W Souza… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Autonomous driving vehicles (ADVs) are the next significant evolution in transportation
systems. Using machine learning techniques supported by strong processing units and …
systems. Using machine learning techniques supported by strong processing units and …
Cooperative Localization in Transportation 5.0
In the era of future mobility within Transportation 5.0, autonomy and cooperation across all
road users and smart infrastructure stand as the key features to enhance transportation …
road users and smart infrastructure stand as the key features to enhance transportation …
Vehicle group identification and evolutionary analysis using vehicle trajectory data
Vehicles often move forward in groups on the highways, especially when speed and density
are high simultaneously. Abnormal maneuvers of a vehicle in a group influence multiple …
are high simultaneously. Abnormal maneuvers of a vehicle in a group influence multiple …
An Automated Threat Intelligence Framework for Vehicle Road Cooperation Systems
Vehicle Road Cooperation Systems (VRCS) use next-generation Internet technologies,
including 5G, edge computing, and artificial intelligence to improve mobility, comfort, and …
including 5G, edge computing, and artificial intelligence to improve mobility, comfort, and …
Resilient Neural-Sliding-Mode Distance Regulation in Merging Control of Heterogeneous Connected Automated Vehicles Subject to Deception Attacks
L Khoshnevisan, X Liu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Resilient distance regulation process is significantly essential in intelligent transportation
systems with connected automated vehicles (CAVs), due to vulnerability of communication …
systems with connected automated vehicles (CAVs), due to vulnerability of communication …
Back-Pressure-based Traffic Signal and Discretized Trajectory Joint Control for Low CAV Penetration Rate Environment
S He, Y He, Y Zhang, Q Shi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper presents an innovative joint traffic signal and trajectory control (JSTC) model for a
mixed traffic environment with a low penetration rate of connected autonomous vehicles …
mixed traffic environment with a low penetration rate of connected autonomous vehicles …