[HTML][HTML] Forecasting: theory and practice
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
[PDF][PDF] Towards industrial revolution 5.0 and explainable artificial intelligence: Challenges and opportunities
I Taj, N Zaman - International Journal of Computing and …, 2022 - pdfs.semanticscholar.org
Technological growth is changing our everyday living, making it smarter and more
convenient day by day; Smart society 5.0, Healthcare 5.0, Agriculture 5.0 are only a few …
convenient day by day; Smart society 5.0, Healthcare 5.0, Agriculture 5.0 are only a few …
[HTML][HTML] A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks
Traffic flow forecasting is an essential component of an intelligent transportation system to
mitigate congestion. Recurrent neural networks, particularly gated recurrent units and long …
mitigate congestion. Recurrent neural networks, particularly gated recurrent units and long …
Deep learning for spatio-temporal data mining: A survey
With the fast development of various positioning techniques such as Global Position System
(GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly …
(GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly …
Short-term traffic flow prediction for urban road sections based on time series analysis and LSTM_BILSTM method
C Ma, G Dai, J Zhou - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
The real-time performance and accuracy of traffic flow prediction directly affect the efficiency
of traffic flow guidance systems, and traffic flow prediction is a hotspot in the field of …
of traffic flow guidance systems, and traffic flow prediction is a hotspot in the field of …
Big data analytics in intelligent transportation systems: A survey
Big data is becoming a research focus in intelligent transportation systems (ITS), which can
be seen in many projects around the world. Intelligent transportation systems will produce a …
be seen in many projects around the world. Intelligent transportation systems will produce a …
Machine learning-based traffic prediction models for intelligent transportation systems
Abstract Intelligent Transportation Systems (ITS) have attracted an increasing amount of
attention in recent years. Thanks to the fast development of vehicular computing hardware …
attention in recent years. Thanks to the fast development of vehicular computing hardware …
Traffic graph convolutional recurrent neural network: A deep learning framework for network-scale traffic learning and forecasting
Traffic forecasting is a particularly challenging application of spatiotemporal forecasting, due
to the time-varying traffic patterns and the complicated spatial dependencies on road …
to the time-varying traffic patterns and the complicated spatial dependencies on road …
LSTM-based traffic flow prediction with missing data
Traffic flow prediction plays a key role in intelligent transportation systems. However, since
traffic sensors are typically manually controlled, traffic flow data with varying length, irregular …
traffic sensors are typically manually controlled, traffic flow data with varying length, irregular …
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting
Accurate and real-time traffic passenger flows forecasting at transportation hubs, such as
subway/bus stations, is a practical application and of great significance for urban traffic …
subway/bus stations, is a practical application and of great significance for urban traffic …