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A Unified Spatio-Temporal Model for Short-Term Traffic Flow Prediction

IEEE Transactions on Intelligent Transportation Systems, 2019
This 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
openaire   +1 more source

Robust ensemble method for short-term traffic flow prediction

Future Generation Computer Systems, 2022
He Yan   +4 more
openaire   +1 more source

A Unified STARIMA based Model for Short-term Traffic Flow Prediction

2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018
This 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
openaire   +1 more source

The Short-Term Predictability of Traffic Flow

Traffic and Transportation Studies (2000), 2000
Shoufeng Ma, Guoguang He, Lanpu Du
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Short-Term Traffic Flow Prediction: Techniques and Methods

Applied and Computational Engineering
With 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 ...
openaire   +1 more source

A Piecewise Hybrid of ARIMA and SVMs for Short-Term Traffic Flow Prediction

2017
Short-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), 2023
Jun Nie   +3 more
openaire   +1 more source

The Application of Neuro-FDT in Urban Short-Term Traffic Flow Prediction

Third International Conference on Natural Computation (ICNC 2007) Vol V, 2007
Today, 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.
openaire   +1 more source

Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method

IEEE Transactions on Intelligent Transportation Systems, 2022
Changxi, Guowen Dai, Ji-biao Zhou
exaly  

A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network

IEEE Transactions on Intelligent Transportation Systems, 2022
Wanneng Shu, Ken Cai, Neal N. Xiong
exaly  

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