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A Unified Spatio-Temporal Model for Short-Term Traffic Flow Prediction
IEEE Transactions on Intelligent Transportation Systems, 2019This paper proposes a unified spatio-temporal model for short-term road traffic prediction. The contributions of this paper are as follows. First, we develop a physically intuitive approach to traffic prediction that captures the time-varying spatio-temporal correlation between traffic at different measurement points. The spatio-temporal correlation is
Peibo Duan +3 more
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Robust ensemble method for short-term traffic flow prediction
Future Generation Computer Systems, 2022He Yan +4 more
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A Unified STARIMA based Model for Short-term Traffic Flow Prediction
2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018This paper proposes a unified spatio-temporal model on the basis of STARIMA (Space-Time AutoRegressive Integrated Moving Average) for short-term road traffic prediction. The contributions of this paper are as follows. First, we develop a physically intuitive approach to traffic prediction that captures the time-varying spatio-temporal correlation ...
Peibo Duan +3 more
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The Short-Term Predictability of Traffic Flow
Traffic and Transportation Studies (2000), 2000Shoufeng Ma, Guoguang He, Lanpu Du
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Short-Term Traffic Flow Prediction: Techniques and Methods
Applied and Computational EngineeringWith the development of the economy, the expansion of the city scale, the increase in the population of urban residents and the increase in the per capita car ownership, the traffic congestion problem has an increasing impact on urban operation. Especially during the peak period of commuting traffic and holidays in large cities, most cities are facing ...
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A Piecewise Hybrid of ARIMA and SVMs for Short-Term Traffic Flow Prediction
2017Short-term traffic flow is a variable affected by many factors. Thus, it is quite difficult to forecast accurately with only one model. The ARIMA model and the SVMs model have their own advantages in terms of linearity and nonlinearity. Therefore, making full use of the advantages of ARIMA model and SVMs model to predict traffic flow can significantly ...
Yong Wang, Li Li 0006, Xiaofei Xu
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Research on a short-term traffic flow prediction method
Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023Jun Nie +3 more
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The Application of Neuro-FDT in Urban Short-Term Traffic Flow Prediction
Third International Conference on Natural Computation (ICNC 2007) Vol V, 2007Today, the problems are more and more serious such as urban traffic accident, traffic jam, environment pollution and energy consume etc. Intelligence transportation system is one of valid methods to resolve the problem of road traffic jam and reduce traffic accident, etc.
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IEEE Transactions on Intelligent Transportation Systems, 2022
Changxi, Guowen Dai, Ji-biao Zhou
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Changxi, Guowen Dai, Ji-biao Zhou
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A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network
IEEE Transactions on Intelligent Transportation Systems, 2022Wanneng Shu, Ken Cai, Neal N. Xiong
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