A review of traffic congestion prediction using artificial intelligence
M Akhtar, S Moridpour - Journal of Advanced Transportation, 2021 - Wiley Online Library
In recent years, traffic congestion prediction has led to a growing research area, especially
of machine learning of artificial intelligence (AI). With the introduction of big data by …
of machine learning of artificial intelligence (AI). With the introduction of big data by …
[HTML][HTML] A survey of visual analytics techniques for machine learning
Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …
in the field of visualization. To better identify which research topics are promising and to …
Temporal-spatial quantum graph convolutional neural network based on Schrödinger approach for traffic congestion prediction
Z Qu, X Liu, M Zheng - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Traffic congestion prediction (TCP) plays a vital role in intelligent transportation systems due
to its importance of traffic management. Methods for TCP have emerged greatly with the …
to its importance of traffic management. Methods for TCP have emerged greatly with the …
ST-GRAT: A novel spatio-temporal graph attention networks for accurately forecasting dynamically changing road speed
Predicting road traffic speed is a challenging task due to different types of roads, abrupt
speed change and spatial dependencies between roads; it requires the modeling of …
speed change and spatial dependencies between roads; it requires the modeling of …
[HTML][HTML] A survey of urban visual analytics: Advances and future directions
Developing effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …
problems and integration of visualization techniques and computational models. Urban …
Visual human–computer interactions for intelligent vehicles and intelligent transportation systems: The state of the art and future directions
Research on intelligent vehicles has been popular in the past decade. To fill the gap
between automatic approaches and man-machine control systems, it is indispensable to …
between automatic approaches and man-machine control systems, it is indispensable to …
Real-time prediction of nuclear power plant parameter trends following operator actions
J Bae, G Kim, SJ Lee - Expert Systems with Applications, 2021 - Elsevier
Operators in the main control room of a nuclear power plant (NPP) oversee all plant
operations, and thus any human error committed by the operators can be critical. If the …
operations, and thus any human error committed by the operators can be critical. If the …
A real-time path planning for reducing vehicles traveling time in cooperative-intelligent transportation systems
Y Regragui, N Moussa - Simulation Modelling Practice and Theory, 2023 - Elsevier
Abstract Intelligent Transportation Systems (ITS) have the potential to enable efficient real-
time path planning applications capable of handling congestion traffic problems using …
time path planning applications capable of handling congestion traffic problems using …
Spatiotemporal congestion-aware path planning toward intelligent transportation systems in software-defined smart city IoT
In smart cities, urban intelligent transportation systems (ITSs) are highly anticipated to
improve transportation efficiency, decrease traffic congestion, and promote sustainable …
improve transportation efficiency, decrease traffic congestion, and promote sustainable …
Compass: Towards better causal analysis of urban time series
The spatial time series generated by city sensors allow us to observe urban phenomena like
environmental pollution and traffic congestion at an unprecedented scale. However …
environmental pollution and traffic congestion at an unprecedented scale. However …