Short-Term Traffic Flow Prediction Based on Fuzzy Time Series

2002 ◽  
Author(s):  
Haijun Gao ◽  
Lingxi Li ◽  
Long Chen ◽  
Rui Liu
Keyword(s):  
Time Series ◽  
Traffic Flow ◽  
Fuzzy Time Series ◽  
Short Term ◽  
Traffic Flow Prediction ◽  
Flow Prediction

Short-Term Traffic Flow Prediction Based on Time Series Analysis

ICCTP 2011 ◽  
2011 ◽  
Author(s):  
Pei-feng Hu ◽  
Zong-zhong Tian ◽  
Fan Yang ◽  
Lynwood Johnson
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Traffic Flow ◽  
Short Term ◽  
Traffic Flow Prediction ◽  
Series Analysis ◽  
Flow Prediction

scholarly journals Research on Short-Term Traffic Flow Prediction Method Based on Similarity Search of Time Series

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Zhaosheng Yang ◽  
Qichun Bing ◽  
Ciyun Lin ◽  
Nan Yang ◽  
Duo Mei
Keyword(s):  
Time Series ◽  
Traffic Flow ◽  
Similarity Search ◽  
Prediction Method ◽  
Flow Data ◽  
Short Term ◽  
Similar Time ◽  
Traffic Flow Prediction ◽  
Flow Prediction ◽  
Advanced Traffic Management System

Short-time traffic flow prediction is necessary for advanced traffic management system (ATMS) and advanced traveler information system (ATIS). In order to improve the effect of short-term traffic flow prediction, this paper presents a short-term traffic flow multistep prediction method based on similarity search of time series. Firstly, the landmark model is used to represent time series of traffic flow data. Then the input data of prediction model are determined through searching similar time series. Finally, the echo state networks model is used for traffic flow multistep prediction. The performance of the proposed method is measured with expressway traffic flow data collected from loop detectors in Shanghai, China. The experimental results demonstrate that the proposed method can achieve better multistep prediction performance than conventional methods.

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