Title :
The route choice problem based on interval type-2 fuzzy logic inference
Author :
Bi Yunrui ; Lu Xiaobo ; Sun Zhe
Author_Institution :
Sch. of Autom., Southeast Univ., Nanjing, China
Abstract :
Drivers´ route choice problem is important to Advanced Traveler Information Systems (ATIS) whose purpose is to solve the traffic congestion problem. In this paper, we discuss the route choice problem and introduce Interval Type-2 Fuzzy Logic Theory. And a method based on the Interval Type-2 Fuzzy Logic Systems (IT2FLSs) is proposed to deal with the route choice problem. This method can handle the imprecision, uncertainties and vagueness lying in the dynamic choice process more efficiently.
Keywords :
fuzzy logic; fuzzy reasoning; fuzzy set theory; fuzzy systems; road traffic; ATIS; IT2FLS; advanced traveler information systems; interval type-2 fuzzy logic inference; interval type-2 fuzzy logic systems; interval type-2 fuzzy logic theory; route choice problem; traffic congestion problem; Analytical models; Fuzzy logic; Fuzzy sets; Fuzzy systems; Real time systems; Uncertainty; Vehicles; Gauss membership function; Interval Type-2 Fuzzy sets; route choice problem;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6233781
