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Minimizing Intersection Delays: A Novel Fuzzy Logic-Based Architecture for Traffic Signal Control

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Abstract

This paper proposes a new fuzzy architecture for the management of an isolated intersection. The challenge of this study is to reduce the waiting time of vehicles in the lanes compared to what exists in the state of the art. The proposed approach is based on five fuzzy logic-based controllers, four for phase management and one for phase selection. The priority of a phase is managed dynamically and intelligently through a flexible cycle. A significant gain in terms of average and cumulative vehicle waiting time is proven in the simulation results compared to other architectures presented in the literature. The performance of the developed system is proven in three different scenarios, the first one containing a low vehicle arrival rate, the second one with a medium arrival rate, and the last one in a critical case with a high arrival rate. Our findings highlight the potential of fuzzy logic-based approaches for the development of intelligent transportation systems that can help alleviate traffic congestion and improve overall urban mobility.

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Data Availability

The authors confirm that the data supporting the findings are available from the corresponding author, upon reasonable request.

Abbreviations

RA :

Road A

RB :

Road B

RC :

Road C

RD :

Road D

L1 :

Line 1

L2 :

Line 2

FLC1 :

Fuzzy Logic Controller for Phase 1

FLC2 :

Fuzzy Logic Controller for Phase 2

FLC3 :

Fuzzy Logic Controller for Phase 3

FLC4 :

Fuzzy Logic Controller for Phase 4

FLS :

Fuzzy Logic Selection controller

FT1A :

Traffic Lights of road A, Line 1

FT1C :

Traffic lights of road C, Line 1

ACTP1 :

Activation phase 1

ACTP2 :

Activation phase 2

ACTP3 :

Activation phase 3

ACTP4 :

Activation phase 4

CLR :

Clear

FLC :

Fuzzy Logic Controller

MIN :

Minimum

MDM :

Medium

MAX :

Maximum

MOY :

Average

ELV :

High

OMCA :

Optimal Multi Controller Approach

FC :

Fixed Cycle

FCS :

Fuzzy Controller of Shahraki

FCW :

Fuzzy Controller of Wu

FCZ :

Fuzzy Controller of Zaid

MCC :

Multi-controller approach of Collota

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Acknowledgements

This work was supported by the Research center of the Euro-Med University of fez, and the Digital Engineering and artificial intelligence school (EIDIA) of Euro-Med University.

Funding

This research is funded by the Euro-Med University of Fez.

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Authors

Contributions

BE: Conceptualization, Investigation, Writing-original draft, Writing—Review & Editing, Supervision, LO: Conceptualization, Writing-original draft. HS: Writing—Review & Editing., YC: Conceptualization, Investigation, Writing-original draft, Writing—Review & Editing, Supervision,

Corresponding author

Correspondence to Badr Elkari.

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Elkari, B., Ourabah, L., Sekkat, H. et al. Minimizing Intersection Delays: A Novel Fuzzy Logic-Based Architecture for Traffic Signal Control. Int. J. ITS Res. 22, 542–560 (2024). https://doi.org/10.1007/s13177-024-00415-2

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