Results 251 to 260 of about 10,094,639 (283)

Short-Term Traffic Flow Forecasting of Road Network Based on Spatial-Temporal Characteristics of Traffic Flow

2009 WRI World Congress on Computer Science and Information Engineering, 2009
This paper has presented a novel approach designed to realize multi-section short-term traffic flow synchronization forecasting in terms of road network. First, the road network is split into sub networks in accordance with traffic flow spatial-temporal characteristics.
Chunjiao Dong, Chunfu Shao, Xia Li
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Freeway Traffic Modelling: A New Approach for Short Term Flow Forecasting and Assignment

IFAC Proceedings Volumes, 1997
Abstract This paper deals with the problems of highway monitoring and control. For these problems a new approach is proposed which is made up by a simulation modelbased on the stochastic description of the system behaviour. It may be very useful in order to define control strategies such as ramp metering and speed limitations.
CAMUS, ROBERTO, LONGO, GIOVANNI, SANTORINI, FABIO   +2 more
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Research on the Combination Model of Short-Term Traffic Flow Forecasting

Applied Mechanics and Materials, 2012
Short-term traffic flow is difficult to predict accurately and real-time, owing to the characteristics of very complexity, randomness, nonlinearity and uncertainty, etc.. In this paper, the method of combining multiple linear regression with back propagation (BP) neural network was proposed, using BP neural network to compensate the model error of ...
Yuan Lin Liu, Wu Sheng Hu, Su Lan Li, Hong Wei Li   +3 more
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Forecasting of Short-Term Traffic Flow Based on SVR with SFLA

ICTE 2011, 2011
The forecasting of accurate short-term traffic flow is the key issue in intelligent transportation systems(ITS), and it is also an important prerequisite of real-time traffic signal control, traffic assignment, route guidance, incident detection, ect. In this paper, a SFLA-SVR forecasting model of short-term traffic flow is proposed combining with the ...
Hongfei Ding, Ming Lu, Li Tang
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An Adaptive Kalman Filter for Short-Term Traffic Flow Forecasting

ICTE 2011, 2011
The paper presents an adaptive model based on the Kalman Filter Model (AKFM) for short-term traffic flow forecasting. Simultaneously, it expounds the basic principles and the implementation process of AKFM in detail. In addition, the paper has implemented AKFM and Classical Kalman Filter Model (CKFM) in C++ and evaluated them by three kinds of ...
Liyan Zhang, Yan Sun, Jian Ma
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Short-Term Traffic Flow Forecasting Based on Grey Delay Model

2012
Under the real circumstances of traffic flow's grey features and traffic system's delay effect, this paper construct a grey delay model (GM (1,1,τ) model) and investigate relevant properties, Finally, we complete a traffic experiment on the section of Youyi Avenue, estimate the delay time of the system and establish the delay model.
Huan Guo, Xinping Xiao, Yuxiao Tang
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Nonlinear Characteristics of Short - term Traffic Flow and Their Influences to Forecasting

2007 IEEE International Conference on Automation and Logistics, 2007
To improve the forecasting accuracy and reliability of short-term traffic flow, the influence of length of historical data was reevaluated from the viewpoints of identification forecasting. Correlation dimensions and recurrence plots were calculated to analyze a freeway traffic flow.
Zhang Jun, Liu Jun
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A Data Grouping CNN Algorithm for Short-Term Traffic Flow Forecasting

2016
In this paper, a data grouping approach based on convolutional neural network (DGCNN) is proposed for forecasting urban short-term traffic flow. This approach includes the consideration of spatial relations between traffic locations, and utilizes such information to train a convolutional neural network for forecasting. There are three advantages of our
Donghai Yu, Yang Liu 0008, Xiaohui Yu 0001   +2 more
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LSTN:Long Short-Term Traffic Flow Forecasting with Transformer Networks

2022 26th International Conference on Pattern Recognition (ICPR), 2022
Yang Li 0214, Qianqian Ren, Hu Jin, Meng Han   +3 more
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On Application of Regime-Switching Models for Short-Term Traffic Flow Forecasting

2017
This paper contributes to the identification of spatial dependency regimes in urban traffic flows. Importance of traffic flow regimes for forecasting and presence of spatial relationships between road network nodes are widely acknowledged both in traffic flow theory and empirical studies.
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