Spoken instruction understanding in air traffic control: Challenge, technique, and application
Y Lin - Aerospace, 2021 - mdpi.com
In air traffic control (ATC), speech communication with radio transmission is the primary way
to exchange information between the controller and aircrew. A wealth of contextual …
to exchange information between the controller and aircrew. A wealth of contextual …
Special issue on methodological advancements in understanding and managing urban traffic congestion
The increasing population in cities induces a high travel demand. Unfortunately, due to the
limited capacity of urban transport networks, this increasing demand for travel raises various …
limited capacity of urban transport networks, this increasing demand for travel raises various …
TFGAN: Traffic forecasting using generative adversarial network with multi-graph convolutional network
Traffic forecasting constitutes a task of great importance in intelligent transport systems.
Owing to the non-Euclidean structure of traffic data, the complicated spatial correlations, and …
Owing to the non-Euclidean structure of traffic data, the complicated spatial correlations, and …
A systematic review of traffic incident detection algorithms
O ElSahly, A Abdelfatah - Sustainability, 2022 - mdpi.com
Traffic incidents have negative impacts on traffic flow and the gross domestic product of most
countries. In addition, they may result in fatalities and injuries. Thus, efficient incident …
countries. In addition, they may result in fatalities and injuries. Thus, efficient incident …
Bayesian dynamic extreme value modeling for conflict-based real-time safety analysis
C Fu, T Sayed - Analytic methods in accident research, 2022 - Elsevier
Real-time safety analysis and optimization using surrogate safety measures such as traffic
conflicts and techniques such extreme value theory (EVT) models is an emerging research …
conflicts and techniques such extreme value theory (EVT) models is an emerging research …
[HTML][HTML] Alternative prioritization of freeway incident management using autonomous vehicles in mixed traffic using a type-2 neutrosophic number based decision …
Traffic incident management is combining the assets of authorities to identify, deal with, and
manage traffic problems as rapidly as possible while providing the safety of on-scene …
manage traffic problems as rapidly as possible while providing the safety of on-scene …
A novel deep learning approach for anomaly detection of time series data
Z Ji, J Gong, J Feng - Scientific Programming, 2021 - Wiley Online Library
Anomalies in time series, also called “discord,” are the abnormal subsequences. The
occurrence of anomalies in time series may indicate that some faults or disease will occur …
occurrence of anomalies in time series may indicate that some faults or disease will occur …
Presentation of a novel method for prediction of traffic with climate condition based on ensemble learning of neural architecture search (NAS) and linear regression
Traffic prediction is critical to expanding a smart city and country because it improves urban
planning and traffic management. This prediction is very challenging due to the multifactorial …
planning and traffic management. This prediction is very challenging due to the multifactorial …
Dynamic spatiotemporal graph wavelet network for traffic flow prediction
W Xu, J Liu, J Yan, J Yang, H Liu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Real-time and high-precision traffic flow prediction plays a crucial role in transportation
management, contributing to control dispatch and reducing traffic congestion. Due to the …
management, contributing to control dispatch and reducing traffic congestion. Due to the …
Traffic Congestion Detection from Surveillance Videos using Deep Learning
GB Madhavi, AD Bhavani, YS Reddy… - … Engineering & their …, 2023 - ieeexplore.ieee.org
Countless cameras, both public and private, have been installed in recent years for the
objectives of surveillance, the monitoring of anomalous human activities, and traffic …
objectives of surveillance, the monitoring of anomalous human activities, and traffic …