Smart mobility in the cloud: Enabling real-time situational awareness and cyber-physical control through a digital twin for traffic
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 …
Twin (CTwin) towards the vision for next-generation smart city applications for urban mobility …
Computer vision-enabled smart traffic monitoring for sustainable transportation management
Transportation accounts for a significant portion of total global energy consumption.
Excessive energy consumption usually occurs in urban traffic environments with congestion …
Excessive energy consumption usually occurs in urban traffic environments with congestion …
Continuous emulation and multiscale visualization of traffic flow using stationary roadside sensor data
With the advent of the next-generation traffic monitoring systems, there has been a
significant increase in the spatial-temporal resolution of vehicle mobility data in many cities …
significant increase in the spatial-temporal resolution of vehicle mobility data in many cities …
A top-down approach for a multi-scale identification of risk areas in infrastructures: particularization in a case study on road safety
Introduction Transport infrastructures have an important function in society and the
development of a country. In Spain, the most used modes of traveler transport are road and …
development of a country. In Spain, the most used modes of traveler transport are road and …
Real-sim interface: Enabling multi-resolution simulation and x-in-the-loop development for connected and automated vehicles
Connected and automated vehicles (CAVs) can bring safety, mobility, and energy benefits to
transportation systems. Ideally, CAV applications would be fully evaluated and validated …
transportation systems. Ideally, CAV applications would be fully evaluated and validated …
[HTML][HTML] Spatiotemporal features of traffic help reduce automatic accident detection time
Quick and reliable automatic detection of traffic accidents is of paramount importance to
save human lives in transportation systems. However, automatically detecting when …
save human lives in transportation systems. However, automatically detecting when …
On the accessibility of the grayscale version of a PoN‐enabled use case notation
M El‐Attar - Journal of Software: Evolution and Process, 2024 - Wiley Online Library
The physics of notations (PoN) is a framework for designing cognitively effective notations.
Cognitive effectiveness refers to the ease (speed and accuracy) by which model readers …
Cognitive effectiveness refers to the ease (speed and accuracy) by which model readers …
Research on the improvement of transportation efficiency of smart city by traffic visualization based on pattern recognition
Y Zhang, H Wang, X Wang - Neural Computing and Applications, 2023 - Springer
In order to improve the traffic visualization management technology of smart cities, this paper
applies machine learning to smart traffic management, and uses machine learning methods …
applies machine learning to smart traffic management, and uses machine learning methods …
[Retracted] A New Method for Inverter Diagnosis of Electric Locomotive Using Adversarial Neural Networks
Y Shi, C Chen, Y Luo - Security and Communication Networks, 2022 - Wiley Online Library
In order to improve the fault diagnosis accuracy of the electric locomotive inverter, this article
combines the adversarial neural network to construct the electric locomotive inverter …
combines the adversarial neural network to construct the electric locomotive inverter …