-
Defining Digital Quadruplets in the Cyber-Physical-Social Space for Parallel Driving
Parallel driving is a novel framework to synthesize vehicle intelligence...
read it
-
Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications
Digital quadruplets aiming to improve road safety, traffic efficiency, a...
read it
-
Commercial Cloud Computing for Connected Vehicle Applications in Transportation Cyber-Physical Systems
This study focuses on the feasibility of commercial cloud services for c...
read it
-
Towards Intelligent Vehicular Networks: A Machine Learning Framework
As wireless networks evolve towards high mobility and providing better s...
read it
-
Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System
This paper presents a cognitive behavioral-based driver mood repairment ...
read it
-
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting
Upcoming Intelligent Transportation Systems (ITSs) will transform roads ...
read it
-
Transfer Learning as an Enabler of the Intelligent Digital Twin
Digital Twins have been described as beneficial in many areas, such as v...
read it
DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems
In a world where Artificial Intelligence revolutionizes inference, prediction and decision-making tasks, Digital Twins emerge as game-changing tools. A case in point is the development and optimization of Cooperative Intelligent Transportation Systems (C-ITSs): a confluence of cyber-physical digital infrastructure and (semi)automated mobility. Herein we introduce Digital Twin for self-dRiving Intelligent VEhicles (DRIVE). The developed framework tackles shortcomings of traditional vehicular and network simulators. It provides a flexible, modular, and scalable implementation to ensure large-scale, city-wide experimentation with a moderate computational cost. The defining feature of our Digital Twin is a unique architecture allowing for submission of sequential queries, to which the Digital Twin provides instantaneous responses with the "state of the world", and hence is an Oracle. With such bidirectional interaction with external intelligent agents and realistic mobility traces, DRIVE provides the environment for development, training and optimization of Machine Learning based C-ITS solutions.
READ FULL TEXT
Comments
There are no comments yet.