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   Articles with "flow forecasting" as a keyword



Short-term vessel traffic flow forecasting by using an improved Kalman model

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recommendations! Published in 2017 at "Cluster Computing"

DOI: 10.1007/s10586-017-1491-2

Abstract: Vessel traffic flow forecasting is of significant importance for the water transport safety, especially in the multi-bridge water areas. An improved Kalman model combining regression analysis and Kalman filtering is proposed for short-term vessel traffic… read more here.

Keywords: vessel traffic; traffic; flow forecasting; traffic flow ... See more keywords

Real-Time Flow Forecasting in a Watershed Using Rainfall Forecasting Model and Updating Model

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recommendations! Published in 2019 at "Water Resources Management"

DOI: 10.1007/s11269-019-02398-2

Abstract: Watershed is the basic unit for studying different hydrologic processes. Flow forecasting in a watershed is dependent upon the rainfall. The effect of erroneous rainfall prediction is a source of uncertainty in flow forecasting. In… read more here.

Keywords: time; model; flow forecasting; forecasting model ... See more keywords
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Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms

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recommendations! Published in 2020 at "Water Resources Management"

DOI: 10.1007/s11269-020-02484-w

Abstract: Monitoring hourly river flows is indispensable for flood forecasting and disaster risk management. The objective of the present study is to develop a suite of hourly river flow forecasting models for the Albert river, located… read more here.

Keywords: hourly river; machine learning; river flow; flow forecasting ... See more keywords

Short-to-medium Term Passenger Flow Forecasting for Metro Stations using a Hybrid Model

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recommendations! Published in 2018 at "KSCE Journal of Civil Engineering"

DOI: 10.1007/s12205-017-1016-9

Abstract: Metro passenger flow forecasting is an essential component of intelligent transportation system. To enhance the forecasting accuracy and explainable of traditional models, a hybrid model combining symbolic regression and Autoregressive Integrated Moving Average Model (ARIMA)… read more here.

Keywords: passenger flow; model; flow forecasting; hybrid model ... See more keywords

Effective passenger flow forecasting using STL and ESN based on two improvement strategies

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recommendations! Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.04.061

Abstract: Abstract Accurate passenger flow prediction is fairly challenging because of chaotic nature of transportation system and influence mechanism originated from multiple factors. It has been found that passenger flow has a nonlinear characteristic and a… read more here.

Keywords: stl; flow forecasting; effective passenger; passenger ... See more keywords

Towards an Operational Flow Forecasting System for the Upper Niagara River

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recommendations! Published in 2020 at "Journal of Hydraulic Engineering"

DOI: 10.1061/(asce)hy.1943-7900.0001781

Abstract: AbstractThe authors developed a Hydrologic Engineering Center–River Analysis System (HEC–RAS) model to serve as the key component of a new, first-of-its-kind, short-term operational flow forecastin... read more here.

Keywords: towards operational; system; river; flow forecasting ... See more keywords

Traffic flow forecasting based on augmented multi-component recurrent graph attention network

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recommendations! Published in 2025 at "Transportation Letters"

DOI: 10.1080/19427867.2025.2450577

Abstract: ABSTRACT Accurate real-time traffic flow forecasting has been a challenge due to the complex spatial–temporal dependencies and uncertainties associated with the dynamic changes in traffic flow. To overcome this problem, a traffic flow forecasting model… read more here.

Keywords: flow forecasting; traffic flow; multi component; augmented multi ... See more keywords

DGSLSTM: Deep Gated Stacked Long Short-Term Memory Neural Network for Traffic Flow Forecasting of Transportation Networks on Big Data Environment.

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recommendations! Published in 2022 at "Big data"

DOI: 10.1089/big.2021.0013

Abstract: Deep learning and big data techniques have become increasingly popular in traffic flow forecasting. Deep neural networks have also been applied to traffic flow forecasting. Furthermore, it is difficult to determine whether neural networks can… read more here.

Keywords: big data; traffic; flow forecasting; traffic flow ... See more keywords

NCAE and ELM Based Enhanced Ensemble Optimized Model for Traffic Flow Forecasting

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3034763

Abstract: Accurate and timely traffic flow forecasting is the key technology to address the issue of urban traffic congestion, which is significant for intelligent transportation system. However, it is a quite challenging task to develop an… read more here.

Keywords: ncae elm; flow forecasting; model; traffic ... See more keywords

Spatio-Temporal Feature Engineering for Deep Learning Models in Traffic Flow Forecasting

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3403516

Abstract: In the past decade, modern transportation systems have employed various cutting-edge deep-learning approaches for traffic flow prediction. Due to its significant temporal correlations, researchers have mainly focused on extracting temporal features from traffic flow data.… read more here.

Keywords: deep learning; flow forecasting; traffic flow; spatio temporal ... See more keywords

Spatiotemporal Hashing Multigraph Convolutional Network for Service-Level Passenger Flow Forecasting in Bus Transit Systems

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2021.3116241

Abstract: Multistep service-level passenger flow forecasting is of great value in bus transit systems. This task is faced with great challenges due to complicated and dynamic spatial–temporal dependencies, such as interstation semantic dependencies, interline spatial dependencies,… read more here.

Keywords: service level; passenger; flow forecasting; passenger flow ... See more keywords