Traffic Light Control System for Four-Way Intersection and T-Crossing Using Fuzzy Logic

Maheen Firdous; Fasih Ud Din Iqbal; Nouman Ghafoor; Nauman Khalid Qureshi; Noman Naseer

doi:10.1109/ICAICA.2019.8873518

Traffic Light Control System for Four-Way Intersection and T-Crossing Using Fuzzy Logic

Maheen Firdous
, Fasih Ud Din Iqbal
, Nouman Ghafoor
, Nauman Khalid Qureshi
, Noman Naseer

Air University, Islamabad

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Traffic signals are vital for traffic management. It is essential to increase the efficiency of the traffic controller to alleviate traffic congestion. In this paper, the traffic light control system using fuzzy logic is designed to minimize queue count (QC) and waiting time (WT) for vehicles at the intersection. Real-time traffic is generated and a fuzzy logic controller is implemented to control the traffic light system. In the proposed fuzzy logic controller, trapezoidal membership functions are combined with the rules to generate green light time for input QC and WT. The improvement in QC, WT, and tailback is witnessed by using Static Phase Scheduling Traffic Light System (SPSTLS) as a benchmark to measure the performance of the proposed controller. The performance comparison records a significant improvement of 81.68% in QC, 87.04% in average WT and 18.05% in the tailback. The results show that fuzzy logic controlled Dynamic Phase Scheduling Traffic Light System (DPSTLS) has the potential to resolve the problem of QC, WT, travel cost, accident, and traffic congestion.

Original language	English
Title of host publication	Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	178-182
Number of pages	5
ISBN (Electronic)	9781728112220
DOIs	https://doi.org/10.1109/ICAICA.2019.8873518
Publication status	Published - Mar 2019
Externally published	Yes
Event	2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019 - Dalian, China Duration: 29 Mar 2019 → 31 Mar 2019

Publication series

Name	Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019

Conference

Conference	2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019
Country/Territory	China
City	Dalian
Period	29/03/19 → 31/03/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

DPSTLS
Fuzzy Logic Controller
SPSTLS
Traffic Light Control

Access to Document

10.1109/ICAICA.2019.8873518

Cite this

Firdous, M., Din Iqbal, F. U., Ghafoor, N., Qureshi, N. K., & Naseer, N. (2019). Traffic Light Control System for Four-Way Intersection and T-Crossing Using Fuzzy Logic. In Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019 (pp. 178-182). Article 8873518 (Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAICA.2019.8873518

Firdous, Maheen ; Din Iqbal, Fasih Ud ; Ghafoor, Nouman et al. / Traffic Light Control System for Four-Way Intersection and T-Crossing Using Fuzzy Logic. Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 178-182 (Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019).

@inproceedings{0d97975717e74f49a119754c0491392e,

title = "Traffic Light Control System for Four-Way Intersection and T-Crossing Using Fuzzy Logic",

abstract = "Traffic signals are vital for traffic management. It is essential to increase the efficiency of the traffic controller to alleviate traffic congestion. In this paper, the traffic light control system using fuzzy logic is designed to minimize queue count (QC) and waiting time (WT) for vehicles at the intersection. Real-time traffic is generated and a fuzzy logic controller is implemented to control the traffic light system. In the proposed fuzzy logic controller, trapezoidal membership functions are combined with the rules to generate green light time for input QC and WT. The improvement in QC, WT, and tailback is witnessed by using Static Phase Scheduling Traffic Light System (SPSTLS) as a benchmark to measure the performance of the proposed controller. The performance comparison records a significant improvement of 81.68\% in QC, 87.04\% in average WT and 18.05\% in the tailback. The results show that fuzzy logic controlled Dynamic Phase Scheduling Traffic Light System (DPSTLS) has the potential to resolve the problem of QC, WT, travel cost, accident, and traffic congestion.",

keywords = "DPSTLS, Fuzzy Logic Controller, SPSTLS, Traffic Light Control",

author = "Maheen Firdous and \{Din Iqbal\}, \{Fasih Ud\} and Nouman Ghafoor and Qureshi, \{Nauman Khalid\} and Noman Naseer",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019 ; Conference date: 29-03-2019 Through 31-03-2019",

year = "2019",

month = mar,

doi = "10.1109/ICAICA.2019.8873518",

language = "English",

series = "Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019",

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}

Firdous, M, Din Iqbal, FU, Ghafoor, N, Qureshi, NK & Naseer, N 2019, Traffic Light Control System for Four-Way Intersection and T-Crossing Using Fuzzy Logic. in Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019., 8873518, Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019, Institute of Electrical and Electronics Engineers Inc., pp. 178-182, 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019, Dalian, China, 29/03/19. https://doi.org/10.1109/ICAICA.2019.8873518

Traffic Light Control System for Four-Way Intersection and T-Crossing Using Fuzzy Logic. / Firdous, Maheen; Din Iqbal, Fasih Ud; Ghafoor, Nouman et al.
Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 178-182 8873518 (Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Traffic Light Control System for Four-Way Intersection and T-Crossing Using Fuzzy Logic

AU - Firdous, Maheen

AU - Din Iqbal, Fasih Ud

AU - Ghafoor, Nouman

AU - Qureshi, Nauman Khalid

AU - Naseer, Noman

PY - 2019/3

Y1 - 2019/3

N2 - Traffic signals are vital for traffic management. It is essential to increase the efficiency of the traffic controller to alleviate traffic congestion. In this paper, the traffic light control system using fuzzy logic is designed to minimize queue count (QC) and waiting time (WT) for vehicles at the intersection. Real-time traffic is generated and a fuzzy logic controller is implemented to control the traffic light system. In the proposed fuzzy logic controller, trapezoidal membership functions are combined with the rules to generate green light time for input QC and WT. The improvement in QC, WT, and tailback is witnessed by using Static Phase Scheduling Traffic Light System (SPSTLS) as a benchmark to measure the performance of the proposed controller. The performance comparison records a significant improvement of 81.68% in QC, 87.04% in average WT and 18.05% in the tailback. The results show that fuzzy logic controlled Dynamic Phase Scheduling Traffic Light System (DPSTLS) has the potential to resolve the problem of QC, WT, travel cost, accident, and traffic congestion.

AB - Traffic signals are vital for traffic management. It is essential to increase the efficiency of the traffic controller to alleviate traffic congestion. In this paper, the traffic light control system using fuzzy logic is designed to minimize queue count (QC) and waiting time (WT) for vehicles at the intersection. Real-time traffic is generated and a fuzzy logic controller is implemented to control the traffic light system. In the proposed fuzzy logic controller, trapezoidal membership functions are combined with the rules to generate green light time for input QC and WT. The improvement in QC, WT, and tailback is witnessed by using Static Phase Scheduling Traffic Light System (SPSTLS) as a benchmark to measure the performance of the proposed controller. The performance comparison records a significant improvement of 81.68% in QC, 87.04% in average WT and 18.05% in the tailback. The results show that fuzzy logic controlled Dynamic Phase Scheduling Traffic Light System (DPSTLS) has the potential to resolve the problem of QC, WT, travel cost, accident, and traffic congestion.

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ER -

Firdous M, Din Iqbal FU, Ghafoor N, Qureshi NK, Naseer N. Traffic Light Control System for Four-Way Intersection and T-Crossing Using Fuzzy Logic. In Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 178-182. 8873518. (Proceedings of 2019 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2019). doi: 10.1109/ICAICA.2019.8873518

Traffic Light Control System for Four-Way Intersection and T-Crossing Using Fuzzy Logic

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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