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 …

Special issue on methodological advancements in understanding and managing urban traffic congestion

R Zhong, Z He, AHF Chow, V Knoop - … A: Transport Science, 2022 - Taylor & Francis
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 …

TFGAN: Traffic forecasting using generative adversarial network with multi-graph convolutional network

A Khaled, AMT Elsir, Y Shen - Knowledge-Based Systems, 2022 - Elsevier
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 …

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 …

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 …

[HTML][HTML] Alternative prioritization of freeway incident management using autonomous vehicles in mixed traffic using a type-2 neutrosophic number based decision …

I Gokasar, V Simic, M Deveci, T Senapati - Engineering Applications of …, 2023 - Elsevier
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 …

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 …

Presentation of a novel method for prediction of traffic with climate condition based on ensemble learning of neural architecture search (NAS) and linear regression

J Artin, A Valizadeh, M Ahmadi, SAP Kumar… - …, 2021 - Wiley Online Library
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 …

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 …

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 …