Results 21 to 30 of about 5,189,325 (247)
A novel traffic optimization method using GRU based deep neural network for the IoV system [PDF]
PeerJ Computer Science, 2023 At present, China is moving towards the direction of “Industry 4.0”. The development of the automobile industry, especially intelligent automobiles, is in full swing, which brings great convenience to people’s life and travel.
Wu Wen, Dongliang Xu, Yang Xia
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A Hybrid Deep Learning Framework for Long-Term Traffic Flow Prediction
IEEE Access, 2021 An accurate and reliable traffic flow prediction is of great significance, especially the long-term traffic flow prediction e.g., 24 hours, which can help the traffic decision-makers formulate the future traffic management strategy.
Yiqun Li +3 more
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Truck Traffic Flow Prediction Based on LSTM and GRU Methods With Sampled GPS Data
IEEE Access, 2020 Given the enormous traffic issues, such as congestion and crashes, resulting from the conflicts between trucks and passenger cars, an accurate and reliable prediction of truck traffic flow is needed to enhance the traffic flow efficiency and safety in ...
Shengyou Wang +4 more
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Traffic Flow Prediction Using MI Algorithm and Considering Noisy and Data Loss Conditions: An Application to Minnesota Traffic Flow Prediction [PDF]
, 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 ...
Nadjar Araabi, Babak +7 more
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IEEE Access, 2019 Short-term traffic flow prediction is one of the most important issues in the field of intelligent transportation systems. It plays an important role in traffic information service and traffic guidance.
Luntian Mou +3 more
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Effect of Time Intervals on K-nearest Neighbors Model for Short-term Traffic Flow Prediction
Promet (Zagreb), 2019 The accuracy and reliability in predicting short-term traffic flow is important. The K-nearest neighbors (K-NN) approach has been widely used as a nonparametric model for traffic flow prediction.
Zhao Liu +6 more
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Complexity, 2021 Traffic flow prediction plays an important role in intelligent transportation system (ITS). However, due to the randomness and complex periodicity of traffic flow data, traditional prediction models often fail to achieve good results.
Yang Yu, Qiang Shang, Tian Xie
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Determination and Visualization of Uncertainties in 4D-Trajectory Prediction [PDF]
, 2012 Future air traffic management relies on trajectory forecasting for higher safety, efficiency and environmental friendliness. The quality of trajectory predictions is subject to errors from a variety of sources.
Weitz, P. +3 more
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The influence of meteorology, urban topography and traffic on the variability in concentrations of a traffic-related pollutant in urban street canyons [PDF]
, 2005 A comprehensive study into the spatial and temporal variations in concentrations of a traffic-related pollutant was undertaken in two urban street canyons located in York, U. K.
Boddy, John William Douglas
core +7 more sources
IEEE Access, 2019 Accurate short-term traffic forecasts help people choose transportation and travel time. Through the query data, many models for traffic flow prediction have neglected the temporal and spatial correlation of traffic flow, so that the prediction accuracy ...
Guowen Dai, Changxi Ma, Xuecai Xu
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