DocumentCode
2002547
Title
Short-Term Traffic Flow Prediction Methods and the Correlation Analysis of Vehicle Speed and Traffic Flow
Author
Liu, Changhong ; Liu, Xintian ; Huang, Hu ; Zhao, Lihui
Author_Institution
Coll. of Automobile Eng., Shanghai Univ. of Eng. Sci., Shanghai, China
Volume
2
fYear
2008
fDate
13-17 Dec. 2008
Firstpage
415
Lastpage
418
Abstract
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 analyses were calculated for traffic flow and vehicle speed in different driveways. The results shown, the correlation of traffic flow and vehicle speed was unconspicuous, but the traffic flows of the same direction in different driveways were correlated significantly. Finally according to the statistic results, some suggestions were presented.
Keywords
fuzzy neural nets; fuzzy reasoning; road traffic; statistical analysis; traffic engineering computing; tunnels; Yanan east road tunnel; adaptive neuro-fuzzy inference system; correlation analysis; short-term traffic flow prediction method; traffic flow; vehicle speed; Adaptive systems; Automotive engineering; Communication system traffic control; Fuzzy sets; Prediction methods; Predictive models; Road vehicles; Traffic control; Vehicle driving; Vehicle dynamics; Correlation; forecast model; fuzzy; traffic flow;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location
Suzhou
Print_ISBN
978-0-7695-3508-1
Type
conf
DOI
10.1109/CIS.2008.201
Filename
4724809
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