Matlab algorithms for traffic light assignment using fuzzy graph, fuzzy chromatic number, and fuzzy inference system

被引：3
|
作者：
Rosyida, Isnaini [1 ]
Nurhaida [2 ]
Narendra, Alfa [1 ]
Widodo [3 ]
机构：
[1] Univ Negeri Semarang, Semarang, Indonesia
[2] Univ Papua, Manokwari, Indonesia
[3] Univ Gadjah Mada, Yogyakarta, Indonesia
来源：
METHODSX | 2020年 / 7卷
关键词：
Fuzzy graph; Fuzzy chromatic number (FCN); Phase; Mamdani-FIS; Traffic light; Matlab; SIGNAL CONTROL;
D O I：
10.1016/j.mex.2020.101136
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
We propose algorithms in Matlab that combine fuzzy graph, fuzzy chromatic number (FCN), and fuzzy inference system (FIS) to create traffic light assignment based on traffic flow, conflict, and queue length in an intersection. We evaluate the algorithms through two case studies each on a signalized intersection at Semarang City (Indonesia) and compare the result to the existing systems. The case studies show that the algorithm based on fuzzy graph-FCN-FIS could reduce traffic light cycle time on the intersections. We provide three results as follows: A pseudocode to construct fuzzy graph of traffic data in an intersection. Algorithm 1 is to Determine fuzzy graph model of a traffic light data and phase scheduling using FCN function which is presented using Matlab programming language. Algorithm 2 is to Determine duration of green lights of each phase using Mamdani-FIS codes in Matlab.(C) 2020 The Author(s). Published by Elsevier B.V.
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页数：24
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