[HTML][HTML] Architecture, application, and prospect of digital twin for highway infrastructure

Y Wang, H Wang, W Wang, S Song, X Fu - Journal of Traffic and …, 2024 - Elsevier
The years we are experiencing are often identified as those of the age of digital
technologies, where" digital" is commonly associated with intelligence, efficiency, and …

Machine and Deep Learning for Digital Twin Networks: A Survey

B Qin, H Pan, Y Dai, X Si, X Huang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Digital twin (DT) is a technology that precisely replicates physical entities and seamlessly
connects physical entities with virtual counterparts, which facilitates precise understanding …

A digital twin-based traffic light management system using BIRCH algorithm

HY Adarbah, M Sookhak, M Atiquzzaman - Ad Hoc Networks, 2024 - Elsevier
Urban transportation networks are vital for the economic and environmental well-being of
cities and they are faced with the integration of Human-Driven Vehicles (HVs) and …

Multi-Tier Computing-Enabled Digital Twin in 6G Networks

K Wang, Y Tang, TQ Duong, SR Khosravirad… - arXiv preprint arXiv …, 2023 - arxiv.org
Digital twin (DT) is the recurrent and common feature in discussions about future
technologies, bringing together advanced communication, computation, and artificial …

Engineering Traffic Prediction With Online Data Imputation: A Graph-Theoretic Perspective

W Yue, D Zhou, S Wang, P Duan - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
Accurate and timely prediction about the current and near-term future traffic conditions is one
of the effective ways to relieve traffic congestion and improve the operation efficiency of road …

[PDF][PDF] Bayesian Network for Analysis and Prediction of Traffic Congestion Using the Accident Data.

KK Talluri, G Weidl - VEHITS, 2024 - scitepress.org
Traffic congestion has become a significant concern regarding social safety and economic
impact. Understanding the relationship between congestion and accidents is vital in …