Deep Temporal Convolutional Networks for Short-Term Traffic Flow Forecasting [PDF]
IEEE Access, 2019 To reduce the increasingly congestion in cities, it is essential for intelligent transportation system (ITS) to accurately forecast the short-term traffic flow to identify the potential congestion sites. In recent years, the emerging deep learning method
Wentian Zhao +5 more
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A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting [PDF]
Complexity, 2021 Accurate short-term traffic flow modeling is an essential prerequisite to analyze and control traffic flow. Canonical data-driven methods are a large account of parameters that may be underfitted with limited training samples, yet they cannot adaptively ...
Shiqiang Zheng +5 more
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Short-Term Traffic Flow Forecasting Based on Data-Driven Model
Mathematics, 2020 Short-term traffic flow forecasting is the technical basis of the intelligent transportation system (ITS). Higher precision, short-term traffic flow forecasting plays an important role in alleviating road congestion and improving traffic management ...
Su-qi Zhang, Kuo-Ping Lin
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Multiscale Traffic Dynamics Representation for Forecasting via MEMD-Guided Dual-Branch Recurrent Networks [PDF]
SensorsTraffic flow forecasting remains challenging because raw traffic flow observations often contain mixed temporal patterns, including slowly varying trends and fast local fluctuations.
Yichen Qian +5 more
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PSO-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting
IEEE Access, 2020 Accurate and reliable traffic flow forecasting is of importance for urban planning and mitigation of traffic congestion, and it is also the basis for the deployment of intelligent traffic management systems.
Weihong Cai +5 more
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Short-Term Intersection Traffic Flow Forecasting [PDF]
Sustainability, 2020 The intersection is a bottleneck in an urban roadway network. As traffic demand increases, there is a growing congestion problem at urban intersections. Short-term traffic flow forecasting is crucial for advanced trip planning and traffic management. However, there are only a handful of existing models for forecasting intersection traffic flow.
Wenrui Qu +6 more
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Cloud Model-Based Fuzzy Inference System for Short-Term Traffic Flow Prediction
Mathematics, 2023 Since traffic congestion during peak hours has become the norm in daily life, research on short-term traffic flow forecasting has attracted widespread attention that can alleviate urban traffic congestion.
He-Wei Liu +6 more
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PERFORMANCE ANALYSIS OF LSTM MODEL WITH MULTI-STEP AHEAD STRATEGIES FOR A SHORT-TERM TRAFFIC FLOW PREDICTION [PDF]
Scientific Journal of Silesian University of Technology. Series Transport, 2021 In this study, the effect of direct and recursive multi-step forecasting strategies on the short-term traffic flow forecast performance of the Long Short-Term Memory (LSTM) model is investigated.
Erdem DOĞAN
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Short-Term Traffic Flow Forecasting Model Based on GA-TCN
Journal of Advanced Transportation, 2021 Traffic flow forecasting is the key to an intelligent transportation system (ITS). Currently, the short-term traffic flow forecasting methods based on deep learning need to be further improved in terms of accuracy and computational efficiency. Therefore,
Rongji Zhang +5 more
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Short-Term Traffic Flow Forecasting via Multi-Regime Modeling and Ensemble Learning
Applied Sciences, 2020 Short-term traffic flow forecasting is crucial for proactive traffic management and control. One key issue associated with the task is how to properly define and capture the temporal patterns of traffic flow.
Zhenbo Lu +4 more
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