Results 11 to 20 of about 154,459 (280)
Improved Equilibrium Optimizer for Short-Term Traffic Flow Prediction
Journal of Database Management, 2023 Meta-heuristic algorithms have been widely used in deep learning. A hybrid algorithm EO-GWO is proposed to train the parameters of long short-term memory (LSTM), which greatly balances the abilities of exploration and exploitation. It utilizes the grey wolf optimizer (GWO) to further search the optimal solutions acquired by equilibrium optimizer (EO ...
Jeng-Shyang Pan 0001 +3 more
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A Short-Term Traffic Flow Reliability Prediction Method considering Traffic Safety [PDF]
Mathematical Problems in Engineering, 2020 With the rapid development and application of intelligent traffic systems, traffic flow prediction has attracted an increasing amount of attention. Accurate and timely traffic flow information is of great significance to improve the safety of transportation. To improve the prediction accuracy of the backward-propagation neural network (BPNN) prediction
Shaoqian Li +3 more
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Advances in Civil Engineering, 2021 Real-time expressway traffic flow prediction is always an important research field of intelligent transportation, which is conducive to inducing and managing traffic flow in case of congestion.
Chunyan Shuai +3 more
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IEEE Access, 2020 Accurate prediction of traffic flow in urban networks is of great significance for smart city management. A short-term traffic flow prediction algorithm of Quantum Genetic Algorithm - Learning Vector Quantization (QGA-LVQ) neural network is proposed to ...
Fuquan Zhang +6 more
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Short-term traffic flow prediction: An ensemble machine learning approach
Alexandria Engineering Journal, 2023 The inconvenience of travel, air pollution and consequent economic losses caused by traffic congestion have seriously restricted the healthy and sustainable development of cities in China.
Guowen Dai, Jinjun Tang, Wang Luo
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Forecasting bus passenger flows by using a clustering-based support vector regression approach [PDF]
, 2020 As a significant component of the intelligent transportation system, forecasting bus passenger flows plays a key role in resource allocation, network planning, and frequency setting.
Bai, Yun +3 more
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Journal of Harbin University of Science and Technology, 2019 We employ the long/shortterm memory (LSTM) recurrent neural network to analyze the impact of various input settings on shortterm traffic flow prediction performance First, we compared the shortterm traffic flow prediction performance for different ...
MAN Chun-tao, KANG Dan-qing
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Assessing spatiotemporal correlations from data for short-term traffic prediction using multi-task learning [PDF]
, 2018 Traffic flow prediction is a fundamental problem for efficient transportation control and management. However, most current data-driven traffic prediction work found in the literature have focused on predicting traffic from an individual task perspective,
Casas Vilaró, Jordi +2 more
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Short-Term Traffic Flow Prediction Based on VMD and IDBO-LSTM
IEEE Access, 2023 To improve the accuracy of short term traffic flow prediction and to solve the problems of nonlinearity of short term traffic flow, more noise in the data, and more difficult to determine the parametes of long short term memory networks, a combined ...
Ke Zhao +4 more
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Stacking Ensemble Learning Process to Predict Rural Road Traffic Flow
Journal of Advanced Transportation, 2022 By predicting and informing the future of traffic through intelligent transportation systems, there is more readiness to avoid traffic congestion. In this study, an ensemble learning process is proposed to predict the hourly traffic flow.
Arash Rasaizadi +1 more
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