Smart mobility in the cloud: Enabling real-time situational awareness and cyber-physical control through a digital twin for traffic

H Xu, A Berres, SB Yoginath… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article presents the design, implementation, and use cases of the Chattanooga Digital
Twin (CTwin) towards the vision for next-generation smart city applications for urban mobility …

Toward a Smart Metaverse City: Immersive Realism and 3D Visualization of Digital Twin Cities

H Xu, A Berres, Y Shao, CR Wang… - Advances in Scalable …, 2023 - taylorfrancis.com
Metaverse and its related extended reality technologies can enable immersive, realistic, and
participatory visualization of 3D data, and their use and the potential within a smart city can …

A mobile edge computing framework for traffic optimization at urban intersections through cyber-physical integration

H Xu, J Yuan, A Berres, Y Shao, C Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The stop-and-go traffic pattern at urban intersections leads to excessive energy use due to
frequent vehicle braking, idling, and acceleration. This pattern, amplified by the growing use …

A rapid and convenient spatiotemporal calibration method of roadside sensors using floating connected and automated vehicle data

C Zhao, Y Shi, Y Du, S Jiang, Y Ji… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Cameras, millimeter-wave radars, and lidars are widely deployed on smart roads to obtain
personalized vehicle trajectories for advanced traffic control and risk avoidance. However …

FecNet: A Feature Enhancement and Cascade Network for Object Detection Using Roadside LiDAR

Z Gong, Z Wang, G Yu, W Liu, S Yang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Roadside light detection and ranging (LiDAR) is commonly used to record the traffic data of
the whole intersection scene or road segment in intelligent transportation systems (ITSs) …

[HTML][HTML] Spatiotemporal features of traffic help reduce automatic accident detection time

P Moriano, A Berres, H Xu, J Sanyal - Expert Systems With Applications, 2024 - Elsevier
Quick and reliable automatic detection of traffic accidents is of paramount importance to
save human lives in transportation systems. However, automatically detecting when …

Towards Urban Digital Twins: A Workflow for Procedural Visualization Using Geospatial Data

S Somanath, V Naserentin, O Eleftheriou, D Sjölie… - Remote Sensing, 2024 - mdpi.com
A key feature for urban digital twins (DTs) is an automatically generated detailed 3D
representation of the built and unbuilt environment from aerial imagery, footprints, LiDAR, or …

On procedural urban digital twin generation and visualization of large scale data

S Somanath, V Naserentin, O Eleftheriou… - arXiv preprint arXiv …, 2023 - arxiv.org
The desired outcome for urban digital twins is an automatically generated detailed 3D model
of a building from aerial imagery, footprints, LiDAR, or a fusion of these. Such 3D models …

13 Toward a Smart Metaverse City

H Xu, A Berres, Y Shao, CR Wang… - … in Scalable and …, 2023 - books.google.com
13 Toward a Smart Metaverse City Page 262 13 Toward a Smart Metaverse City
CONTENTS 13.1 Immersive Realism and 3D Visualization of Digital Twin Cities Haowen Xu …