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

fYear

2014

fDate

9-10 Oct. 2014

Firstpage

13

Lastpage

17

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Informative and Cybernetics for Computational Social Systems (ICCSS), 2014 International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4799-4753-9

Type

conf

DOI

10.1109/ICCSS.2014.6961808

Filename

6961808