research-article

A hybrid traffic controller system based on flower pollination algorithm and type-2 fuzzy logic optimized with crow search algorithm for signalized intersections

Authors:

Ali Payıdar AkgüngörAuthors Info & Claims

Soft Computing, Volume 28, Issue 11-12

Pages 7227 - 7249

https://doi.org/10.1007/s00500-024-09643-w

Published: 07 February 2024 Publication History

Abstract

In this study, a hybrid traffic signal control (HTSC) system based on phase and time optimization was developed. The Flower Pollination Algorithm (FPA) approach was used for phase optimization, while Type-2 Fuzzy Logic, optimized with the Crow Search Algorithm (CSA), was utilized for time optimization. The hybrid system's performance was investigated using nine different traffic conditions and four different intersection geometries. The hybrid system was compared with three controller systems which are a fixed-time signal controller, a signal controller based on the FPA approach (FPA_TSC), and the optimized Type-1 fuzzy logic signal controller (Type-1 FL-TSC). The HTSC approach achieved the best performance with about 32% improvement over the fixed-time traffic controller and it showed 5% and 6% better performance than the FPA_TSC and Type-1 FL-TSC, respectively. Considering the performance of the new hybrid system, it is effective in minimizing delays and driver dissatisfaction occurring from signalization. It also contributes to the reduction of emissions and fuel consumption. The HTSC approach can be used as an alternative signal control method in the control of intersections with high traffic volume due to its fast and effective performance.

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Cited By

Wu Y(2024)Enhancing Urban Traffic Flow Through Fuzzy Logic-Based Signal Light Control OptimizationInternational Journal of e-Collaboration10.4018/IJeC.35874620:1(1-13)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.4018/IJeC.358746
Naidu Y(2024)A solution to common fixed point problems using a hybrid method of invasive weed optimization and jaya algorithmSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-024-10315-y28:23(13389-13406)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s00500-024-10315-y

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Published In

cover image Soft Computing - A Fusion of Foundations, Methodologies and Applications

Soft Computing - A Fusion of Foundations, Methodologies and Applications Volume 28, Issue 11-12

Jun 2024

615 pages

EISSN:1433-7479

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© The Author(s) 2024.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 07 February 2024

Accepted: 03 January 2024

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Cited By

Wu Y(2024)Enhancing Urban Traffic Flow Through Fuzzy Logic-Based Signal Light Control OptimizationInternational Journal of e-Collaboration10.4018/IJeC.35874620:1(1-13)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.4018/IJeC.358746
Naidu Y(2024)A solution to common fixed point problems using a hybrid method of invasive weed optimization and jaya algorithmSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-024-10315-y28:23(13389-13406)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s00500-024-10315-y

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