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Smart mobility digital twin based automated vehicle navigation system: A proof of concept
Digital twins (DTs) have driven major advancements across various industrial domains over
the past two decades. With the rapid advancements in autonomous driving and vehicle-to …
the past two decades. With the rapid advancements in autonomous driving and vehicle-to …
Decentralized cooperative crossing at unsignalized intersections via vehicle-to-vehicle communication in mixed traffic flows
Abstract Connected Autonomous Vehicles (CAVs) are going to share the road environment
with human drivers until their full market deployment achievement. In this context, this paper …
with human drivers until their full market deployment achievement. In this context, this paper …
An unsupervised random forest clustering technique for automatic traffic scenario categorization
A modification of the Random Forest algorithm for the categorization of traffic situations is
introduced in this paper. The procedure yields an unsupervised machine learning method …
introduced in this paper. The procedure yields an unsupervised machine learning method …
The impact of flexible platoon formation operations
Vehicle platooning, a coordinated vehicle movement strategy, has been proposed to
address a range of current transport challenges such as traffic congestion, road safety …
address a range of current transport challenges such as traffic congestion, road safety …
An integrated traffic and vehicle co-simulation testing framework for connected and autonomous vehicles
Simulation testing is critical for the development and optimization of connected and
autonomous vehicle (CAV) driving systems. Existing simulation tools for autonomous driving …
autonomous vehicle (CAV) driving systems. Existing simulation tools for autonomous driving …
Hierarchical optimization of speed planning and energy management for connected hybrid electric vehicles under multi-lane and signal lights aware scenarios
Connected and automated vehicle technology via vehicle-to-everything communication, can
assist in improving energy efficiency for hybrid electric vehicles (HEVs). In particular …
assist in improving energy efficiency for hybrid electric vehicles (HEVs). In particular …
Autonomous vehicle platoons in urban road networks: A joint distributed reinforcement learning and model predictive control approach
In this paper, platoons of autonomous vehicles operating in urban road networks are
considered. From a methodological point of view, the problem of interest consists of formally …
considered. From a methodological point of view, the problem of interest consists of formally …
PSO-based adaptive hierarchical interval type-2 fuzzy knowledge representation system (PSO-AHIT2FKRS) for travel route guidance
Urban Traffic Networks are characterized by their high dynamics and increased traffic
congestion cases, leading to a more complex road traffic management. The present …
congestion cases, leading to a more complex road traffic management. The present …
[PDF][PDF] A Resource Management Algorithm for Virtual Machine Migration in Vehicular Cloud Computing.
In recent years, vehicular cloud computing (VCC) has gained vast attention for providing a
variety of services by creating virtual machines (VMs). These VMs use the resources that are …
variety of services by creating virtual machines (VMs). These VMs use the resources that are …
Simulating Data Flows of Very Large Scale Intelligent Transportation Systems
Vehicular Ad-hoc Network (VANET) simulations are integral to pave way for rapid adoption
of Intelligent Transportation Systems (ITS) applications. Popular VANET simulators are built …
of Intelligent Transportation Systems (ITS) applications. Popular VANET simulators are built …