Smart mobility digital twin based automated vehicle navigation system: A proof of concept

K Wang, Z Li, K Nonomura, T Yu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
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 …

Decentralized cooperative crossing at unsignalized intersections via vehicle-to-vehicle communication in mixed traffic flows

GN Bifulco, A Coppola, A Petrillo… - Journal of Intelligent …, 2022 - Taylor & Francis
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 …

An unsupervised random forest clustering technique for automatic traffic scenario categorization

F Kruber, J Wurst, M Botsch - 2018 21st International …, 2018 - ieeexplore.ieee.org
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 …

The impact of flexible platoon formation operations

S Maiti, S Winter, L Kulik… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Vehicle platooning, a coordinated vehicle movement strategy, has been proposed to
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

Y Shi, Z Liu, Z Wang, J Ye, W Tong… - IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Simulation testing is critical for the development and optimization of connected and
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

J Peng, F Zhang, S Coskun, X Hu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Connected and automated vehicle technology via vehicle-to-everything communication, can
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

L D'Alfonso, F Giannini, G Franzè… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
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 …

PSO-based adaptive hierarchical interval type-2 fuzzy knowledge representation system (PSO-AHIT2FKRS) for travel route guidance

M Zouari, N Baklouti, J Sanchez-Medina… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Urban Traffic Networks are characterized by their high dynamics and increased traffic
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.

SK Pande, SK Panda, S Das, KS Sahoo… - … , Materials & Continua, 2021 - academia.edu
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 …

Simulating Data Flows of Very Large Scale Intelligent Transportation Systems

NT Tangirala, C Sommer, A Knoll - Proceedings of the 38th ACM SIGSIM …, 2024 - dl.acm.org
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 …