Traffic light control for multi intersection model in Istanbul/Altunizade

Ilhan Tunc, Ali Osman Koroglu, Ali Emre Edem, Serra Nur Akmese, Ozge Elmas, Mehmet Turan Soylemez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The traffic problem is a significant concern for many metropolitans around the world. Controlling the flow of traffic is problematic in terms of many complexities and uncertainties. Despite this situation, this problem needs to be solved as it reduces the productivity and living standards. Modern traffic control methods offer a more effective solution, unlike traditional methods. The regions with the highest traffic density in cities are the regions with many traffic intersections. In this paper, using the Simulation of Urban MObility (SUMO) program, a multi-traffic intersection simulation environment was created by gathering data from a crucial real-life region in Istanbul. Using Fuzzy Logic Control (FLC) and actuated control methods, traffic light controllers are designed for multiple intersections. The results are compared using the data obtained from the designed traffic light control methods and traditional traffic light control methods.

Original languageEnglish
Title of host publication2021 29th Mediterranean Conference on Control and Automation, MED 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages548-553
Number of pages6
ISBN (Electronic)9781665422581
DOIs
Publication statusPublished - 22 Jun 2021
Event29th Mediterranean Conference on Control and Automation, MED 2021 - Bari, Puglia, Italy
Duration: 22 Jun 202125 Jun 2021

Publication series

Name2021 29th Mediterranean Conference on Control and Automation, MED 2021

Conference

Conference29th Mediterranean Conference on Control and Automation, MED 2021
Country/TerritoryItaly
CityBari, Puglia
Period22/06/2125/06/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

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