Title :
Traffic light time adjustment based on interval type-2 fuzzy sets
Author :
Zhen Gao ; Hong Mo ; Fenghua Zhu
Author_Institution :
Coll. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
Abstract :
According to the actual circumstance of the intersection, reasonably adjusting traffic light time can help to ease traffic pressure and save transportation time. In this paper, Interval type - 2 fuzzy sets and matched-degree are applied to the time of intersection signal adjusting, and five words are used to cover the range of adjusting lights´ time, finally according to the average number of stranded vehicles, a query table is built to inquire and control the signal time during a certain period.
Keywords :
automobiles; fuzzy set theory; road traffic control; intersection signal; interval type-2 fuzzy sets; matched-degree; query table; signal time control; signal time inquiring; stranded vehicles; traffic light time adjustment; Educational institutions; Fuzzy control; Fuzzy logic; Fuzzy sets; Sensors; Uncertainty; Vehicles; Interval type-2 fuzzy sets; computing with words; footprint of uncertainty; traffic light time;
Conference_Titel :
Informative and Cybernetics for Computational Social Systems (ICCSS), 2014 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-4753-9
DOI :
10.1109/ICCSS.2014.6961808
