Title :
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
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;
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
DOI :
10.1109/ICMLC.2008.4620597
