Results 1 to 10 of about 5,236 (118)
City-Wide Traffic Flow Forecasting Using a Deep Convolutional Neural Network [PDF]
Sensors, 2020 City-wide traffic flow forecasting is a significant function of the Intelligent Transport System (ITS), which plays an important role in city traffic management and public travel safety.
Shangyu Sun, Huayi Wu, Longgang Xiang
doaj +2 more sources
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
doaj +3 more sources
Co-Forecasting for Multi-modal Traffic Flow Based on Graph Contrastive Learning [PDF]
Jisuanji kexue, 2023 An accurate traffic flow prediction in urban areas is of important significance to provide guidance for urban vehicle scheduling and public transportation system optimization.So far,most existing traffic flow prediction methods only consider a single ...
XIAO Yang, QIN Jianyang, LI Kenli, WANG Ge, LI Rui, LIAO Qing
doaj +1 more source
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
doaj +1 more source
Meta-Extreme Learning Machine for Short-Term Traffic Flow Forecasting
Applied Sciences, 2022 The traffic flow forecasting proposed for a series of problems, such as urban road congestion and unreasonable road planning, aims to build a new smart city, improve urban infrastructure, and alleviate road congestion. The problems encountered in traffic
Xin Li +5 more
doaj +1 more source
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
doaj +1 more source
Promet (Zagreb), 2014 Traffic flow forecasting is useful for controlling traffic flow, traffic lights, and travel times. This study uses a multi-layer perceptron neural network and the mutual information (MI) technique to forecast traffic flow and compares the prediction ...
Seyed Hadi Hosseini +3 more
doaj +1 more source
Applied Sciences, 2022 An accurate and reliable forecast for traffic flow is regarded as one of the foundational functions in an intelligent transportation system. In this paper, a new model for traffic flow forecasting, named EnGS-DGR, is designed based on ensemble learning ...
Shi-Yuan Han +4 more
doaj +1 more source
The Relationship Between Traffic Flow Forecasting and Traffic Accident Forecasting and the Possible Combination Points [PDF]
ITM Web of ConferencesThis paper mainly studies the relationship between traffic flow forecasting and traffic accident forecasting and the possible combination points.
Wu Haoyu
doaj +1 more source
Graph transformer based dynamic multiple graph convolution networks for traffic flow forecasting
IET Intelligent Transport Systems, 2023 Traffic prediction is an important part of intelligent transportation system. Recently, graph convolution network (GCN) is introduced for traffic flow forecasting and achieves good performance due to its superiority of representing the graph traffic road
Yongli Hu +5 more
doaj +1 more source