Results 21 to 30 of about 10,094,639 (283)
Long-Term Traffic Prediction Based on Stacked GCN Model
Knowledge Engineering and Data Science, 2023 With the recent surge in road traffic within major cities, the need for both short and long-term traffic flow forecasting has become paramount for city authorities.
Atkia Akila Karim, Naushin Nower
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Prediction model for short‐term traffic flow based on a K‐means‐gated recurrent unit combination
IET Intelligent Transport Systems, 2022 Short‐term forecasting of traffic flow is an indispensable part of easing traffic pressure. Considering that different traffic flow patterns will affect the short‐term traffic flow prediction results, a combined method based on the K‐means clustering ...
Zhaoyun Sun +4 more
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Neural Network Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm [PDF]
, 2011 This paper proposes a novel neural network (NN) training method that employs the hybrid exponential smoothing method and the Levenberg–Marquardt (LM) algorithm, which aims to improve the generalization capabilities of previously used methods for training
Jaipal Singh +8 more
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Short Term Traffic Flow Forecasting Based on Dimension Weighted Residual LSTM [PDF]
Jisuanji gongcheng, 2019 Due to the fact that the current neural network-based traffic flow forecasting method embeds part of the manually designed features,the feature extracted by the network has single function,bad adaptability,poor robustness and inaccurate characterization ...
Yuelong LI, Dehua TANG, Guiyuan JIANG, Zhitao XIAO, Lei GENG, Fang ZHANG, Jun WU
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IEEE Access, 2020 Short-term traffic flow forecasting is a fundamental and challenging task due to the stochastic dynamics of the traffic flow, which is often imbalanced and noisy.
Lingru Cai +5 more
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Tsinghua Science and Technology, 2018 The ability to perform short-term traffic flow forecasting is a crucial component of intelligent transportation systems. However, accurate and reliable traffic flow forecasting is still a significant issue due to the complexity and variability of real ...
Lizong Zhang +4 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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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
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A parallel spatiotemporal deep learning network for highway traffic flow forecasting
International Journal of Distributed Sensor Networks, 2019 Spatiotemporal features have a significant influence on traffic flow prediction. Due to the potentially internal relationship of adjacent roads, spatial information can, to some extent, affect traffic flow forecasting.
Dongxiao Han, Juan Chen, Jian Sun
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Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting [PDF]
Journal of Transportation Engineering, 2007 The seasonal autoregressive integrated moving average (SARIMA) model is one of the popular univariate time-series models in the field of short-term traffic flow forecasting. The parameters of the SARIMA model are commonly estimated using classical (maximum likelihood estimate and/or least-squares estimate) methods.
O'Mahony, Margaret +2 more
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