Fuzzy-logic-based traffic incident detection algorithm for freeway

Author

Binglei, Xie ; Zheng, Hu ; Hongwei, Ma

Author_Institution

Shenzhen Grad. Sch., Harbin Inst. of Technol., Harbin

Volume

3

fYear

2008

fDate

12-15 July 2008

Firstpage

1254

Lastpage

1259

Abstract

Automatic incident detection is an important portion of advanced traffic management systems. Based on real-time analysis of traffic parameters, automatic traffic incident detection transfers information to traffic managers, aimed at reducing traffic jam and lessening traffic accident. Based on fuzzy logic, a new traffic incident detection algorithm for freeway was provided. With traffic simulation, the parameters of the algorithm were calibrated. Finally, the algorithm was validated by the data from traffic simulation. Results showed that performance of the algorithm was encouraging.

Keywords

automated highways; fuzzy logic; real-time systems; road accidents; road traffic; traffic engineering computing; automatic traffic incident detection; freeway; fuzzy logic; real-time analysis; traffic accident; traffic jam; traffic management system; traffic parameter; traffic simulation; Analytical models; Automated highways; Automotive engineering; Clustering algorithms; Cybernetics; Detection algorithms; Fuzzy logic; Machine learning; Telecommunication traffic; Traffic control; Traffic engineering; fuzzy-logic; traffic incident detection; traffic simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620597

Filename

4620597