期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2019
卷号：17
期号：1
页码：320-327
DOI：10.12928/telkomnika.v17i1.10129
出版社：Universitas Ahmad Dahlan
摘要：One of the main causes of traffic congestion, especially at intersections, is because traffic lights
have not been able to show the right time according to the existing traffic conditions. Time settings based
on peak/off-peak traffic lights are not enough to handle unexpected situations. The fuzzy mamdani method
makes decisions with several stages, the criteria used are the number of vehicles, the length of the queue
and the width of the road to be able to optimize the time settings based on the real-time conditions
required so that unwanted green signals (when there is no queue) can be avoided. The purpose of this
research is to create a simulator to optimize traffic time management, so that the timers on each track
have the intelligence to predict the right time, so that congestion at the intersection can be reduced by
adding up to 15 seconds of green light from the previous time in the path of many vehicles.
