A review of traffic congestion prediction using artificial intelligence
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 …
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 …