Short-term traffic prediction using fuzzy c-means and cellular automata in a wide-area road network

Author

Kanoh, Hitoshi ; Furukawa, Takeshi ; Tsukahara, Souichi ; Hara, Kenta ; Nishi, Hirotaka ; Kurokawa, Hisashi

Author_Institution

Dept. of Comput. Sci., Tsukuba Univ., Ibaraki, Japan

fYear

2005

fDate

13-15 Sept. 2005

Firstpage

381

Lastpage

385

Abstract

In this paper, we propose a short-term prediction method for forecasting traffic in a time-series manner for up to one hour ahead for all roads in a wide-area road network. The results of our research enable traffic to be simulated for a wide-area road network based on actual traffic data by combining fuzzy clustering and cellular automata. On application to an actual road network with 3,405 links, the proposed technique was found to be superior to the nearest neighborhood method for traffic prediction at times of congestion outbreak and alleviation and heavy congestion.

Keywords

cellular automata; pattern clustering; prediction theory; road traffic; time series; cellular automata; fuzzy c-means; fuzzy clustering; short-term traffic prediction; time-series; wide-area road network; Computational modeling; Computer networks; Distributed computing; Intelligent networks; Navigation; Prediction methods; Predictive models; Roads; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems, 2005. Proceedings. 2005 IEEE

Print_ISBN

0-7803-9215-9

Type

conf

DOI

10.1109/ITSC.2005.1520184

Filename

1520184