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Akademický článek

Short-term traffic flow prediction of expressway based on CEEMD-GRU combination model

Autor: Fuxin SHEN, Qichun BING, Weijian ZHANG, Yanran HU, Peng GAO

Publikováno v: Journal of Hebei University of Science and Technology, Vol 42, Iss 5, Pp 454-461 (2021)

In order to improve the accuracy of short-term traffic flow prediction,a short-term traffic flow prediction method of expressway based on the combined model of complementary ensemble empirical mode decomposition (CEEMD) and gated recurrent unit (GRU)

Externí odkaz: https://doaj.org/article/69825497e03840d8b34a3ee01da6a3a8

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Akademický článek

A Hybrid Short-Term Traffic Flow Multistep Prediction Method Based on Variational Mode Decomposition and Long Short-Term Memory Model

Autor: Qichun Bing, Fuxin Shen, Xiufeng Chen, Weijian Zhang, Yanran Hu, Dayi Qu

Publikováno v: Discrete Dynamics in Nature and Society, Vol 2021 (2021)

Timely and accurate traffic prediction information is essential for advanced traffic management system (ATMS) and advanced traveler information system (ATIS). Because of the characteristics of nonlinearity, nonstationarity, and randomness, short-term

Externí odkaz: https://doaj.org/article/4f71f72079614da394cec063fe131aa4

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Akademický článek

Arterial travel time estimation method using SCATS traffic data based on KNN-LSSVR model

Autor: Qichun Bing, Dayi Qu, Xiufeng Chen, Fuquan Pan, Jinli Wei

Publikováno v: Advances in Mechanical Engineering, Vol 11 (2019)

In order to improve the effect of estimating travel time and provide more precise and reliable traffic information to traffic management department and travelers, we proposed an arterial travel time estimation method using Sydney Coordinated Adaptive

Externí odkaz: https://doaj.org/article/924f56f471574a5f9ff31a5e3f4af6f9

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Akademický článek

Short-Term Traffic Flow Forecasting Method Based on LSSVM Model Optimized by GA-PSO Hybrid Algorithm

Autor: Qichun Bing, Dayi Qu, Xiufeng Chen, Fuquan Pan, Jinli Wei

Publikováno v: Discrete Dynamics in Nature and Society, Vol 2018 (2018)

Short-term traffic flow forecasting is one of the key issues in the field of dynamic traffic control and management. Because of the uncertainty and nonlinearity, short-term traffic flow forecasting remains a challenging task. In order to improve the

Externí odkaz: https://doaj.org/article/340f0e98f3df4295b56b9e0897bf72d2

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Akademický článek

Short-term traffic flow prediction model using particle swarm optimization–based combined kernel function-least squares support vector machine combined with chaos theory

Autor: Qiang Shang, Ciyun Lin, Zhaosheng Yang, Qichun Bing, Xiyang Zhou

Publikováno v: Advances in Mechanical Engineering, Vol 8 (2016)

Short-term traffic flow prediction is an important part of intelligent transportation systems research and applications. For further improving the accuracy of short-time traffic flow prediction, a novel hybrid prediction model (multivariate phase spa

Externí odkaz: https://doaj.org/article/0d9c129559b34aa5ae064c11d6eeccf3

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Akademický článek

A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine.

Autor: Qiang Shang, Ciyun Lin, Zhaosheng Yang, Qichun Bing, Xiyang Zhou

Publikováno v: PLoS ONE, Vol 11, Iss 8, p e0161259 (2016)

Short-term traffic flow prediction is one of the most important issues in the field of intelligent transport system (ITS). Because of the uncertainty and nonlinearity, short-term traffic flow prediction is a challenging task. In order to improve the

Externí odkaz: https://doaj.org/article/49e695d848e64577a876058bb58977f6

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Akademický článek

Urban Link Travel Time Estimation Based on Low Frequency Probe Vehicle Data

Autor: Xiyang Zhou, Zhaosheng Yang, Wei Zhang, Xiujuan Tian, Qichun Bing

Publikováno v: Discrete Dynamics in Nature and Society, Vol 2016 (2016)

To improve the accuracy and robustness of urban link travel time estimation with limited resources, this research developed a methodology to estimate the urban link travel time using low frequency GPS probe vehicle data. First, focusing on the case w

Externí odkaz: https://doaj.org/article/d68f4c12863d4764845b7d8db3fcfa49

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