<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study presents design of traffic light system with feedback control that considers a crossroad in an urban area. Two types of controllers are designed – fuzzy and analytical, which have been tested separately on Aimsun platform through a simulation. The aim of the study is to compare the performance of both controllers in terms of increasing traffic flow and decreasing queue length. The controllers manage the duration of the green light according to the traffic flow. Two different formal models are designed, tested, and compared. They have produced adequate solutions in terms of developing controllers for modeling and simulation of transportation tasks.</p>
</abstract>

This study presents design of traffic light system with feedback control that considers a crossroad in an urban area. Two types of controllers are designed – fuzzy and analytical, which have been tested separately on Aimsun platform through a simulation. The aim of the study is to compare the performance of both controllers in terms of increasing traffic flow and decreasing queue length. The controllers manage the duration of the green light according to the traffic flow. Two different formal models are designed, tested, and compared. They have produced adequate solutions in terms of developing controllers for modeling and simulation of transportation tasks.

Modelling and Simulation of Traffic Light Control

School of Computing University of Portsmouth

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Modelling and Simulation of Traffic Light Control"}

This study presents design of traffic light system with feedback control that considers a crossroad in an urban area. Two types of controllers are designed –...

Modelling and Simulation of Traffic Light Control

Online veröffentlicht: 28. Sept. 2023

Seitenbereich: 179 - 191

Eingereicht: 31. Mai 2023

Akzeptiert: 02. Juli 2023

DOI: https://doi.org/10.2478/cait-2023-0032

Schlüsselwörter
Traffic light control, fuzzy logic, fuzzy controller, analytical controller, modeling, simulation, Aimsun platform

© 2023 Boriana Vatchova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Modelling and Simulation of Traffic Light Control

Online veröffentlicht: 28. Sept. 2023

Seitenbereich: 179 - 191

Eingereicht: 31. Mai 2023

Akzeptiert: 02. Juli 2023

DOI: https://doi.org/10.2478/cait-2023-0032

SchlüsselwörterTraffic light control, fuzzy logic, fuzzy controller, analytical controller, modeling, simulation, Aimsun platform

© 2023 Boriana Vatchova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Traffic light control, fuzzy logic, fuzzy controller, analytical controller, modeling, simulation, Aimsun platform