Results 271 to 280 of about 11,119,065 (317)

Short-Term Traffic Flow Prediction Methods and the Correlation Analysis of Vehicle Speed and Traffic Flow

2008 International Conference on Computational Intelligence and Security, 2008
A technique based adaptive neuro-fuzzy inference system (ANFIS) has been applied into short-term traffic flow prediction. Considering random factors, a new forecast model is presented based on the dynamic traffic flow data. Firstly the actual observations were operated in traffic flow and vehicle speed on Yanan east road tunnel, then the correlation ...
Changhong Liu, Xintian Liu, Hu Huang 0002, Lihui Zhao   +3 more
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Fusion attention mechanism bidirectional LSTM for short-term traffic flow prediction

Journal of Intelligent Transportation Systems / Taylor & Francis, 2022
Short term forecasting is essential and challenging in time series data analysis for traffic flow research. A novel deep learning architecture on short-term traffic flow prediction was presented in this work.
Zhi-Hong Li, Han Xu, Xiuli Gao, Zinan Wang, W. Xu   +4 more
semanticscholar   +1 more source

Broad Learning for Optimal Short-Term Traffic Flow Prediction

2019
In this work, we explore the use of a Broad Learning System (BLS) as a way to replace deep learning architectures for traffic flow prediction. BLS is shown to not only outperforms standard learning algorithms (Least absolute shrinkage and selection operator (LASSO), shallow and deep neural networks, stacked autoencoders) in terms of training time, but ...
Di Liu 0001, Wenwu Yu, Simone Baldi
openaire   +1 more source

Analysis of Spectrum and Prediction for Short-term Traffic Flow

2007 Chinese Control Conference, 2006
In this paper, based on analysing spectrum of short-term traffic flow by FFT transformation in limited length, we make use of neutral network to forecast the direct data and every scales data which was decomposed and reconstructed by wavelet analysis.
Weng Xiaoxiong, Jian Jun
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Short Term Traffic Flow Prediction Based on LSTM

2018 Ninth International Conference on Intelligent Control and Information Processing (ICICIP), 2018
Traffic flow prediction is important in modern traffic control and induction. Short-term traffic flow prediction plays an important role in urban traffic navigation planning and traffic optimization control. Due to the advantage in processing of time series data, LSTM is very suitable for predicting short-term traffic flow.
Jinhong Li, Lei Gao, Wei Song, Lu Wei, Yaxing Shi   +4 more
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A Short-term Traffic Flow Prediction Model Based on AutoEncoder and GRU

2020 12th International Conference on Advanced Computational Intelligence (ICACI), 2020
To solve the problem of low prediction accuracy and poor robustness due to the short-term prediction only adopts the time series of current link traffic flow and fails to consider the spatial relationship in traffic flow data, this paper proposes a hybrid deep learning method considering the spatialtemporal correlation of traffic flow called ...
Dejun Chen, Hao Wang, Ming Zhong 0004
openaire   +2 more sources

Short-Term Traffic Flow Prediction Based on ANFIS

2009 International Conference on Communication Software and Networks, 2009
Accurate short-term traffic flow prediction has become a critical problem in intelligent transportation systems (ITS). In the paper, a kind of adaptive prediction method for short-term traffic flow based on ANFIS (adaptive-network-based fuzzy interference system) model was presented.
Chen Bao-ping, Ma Zeng-qiang
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Basis-Prediction Method for Short-Term Traffic Flow Prediction and Its Application

2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2019
Traffic flow forecasting is one of the key issues in smart traffic systems. The process of traffic flow changing involves a high degree of nonlinearity and randomness, environmental interference and measurement noise, which brings difficulties to accurate traffic flow prediction.
Zhiyang Gu, Sun Zhou 0001
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Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network

2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 2015
Intelligent Transportation System (ITS) is a significant part of smart city, and short-term traffic flow prediction plays an important role in intelligent transportation management and route guidance. A number of models and algorithms based on time series prediction and machine learning were applied to short-term traffic flow prediction and achieved ...
Yongxue Tian, Li Pan
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Application of Autoformer to Short-Term Traffic Flow Prediction

International Journal Of Scientific Advances
This paper investigates the application of Autoformer model in the field of short-term traffic flow prediction. Traffic flow prediction is crucial for urban planning and traffic management, and is important for relieving traffic congestion and improving traffic efficiency.
Shuncai Luo, Qingying Li
openaire   +1 more source