Application of Fuzzy Mamdani Model for Effective Prediction of Traffic Flow of Vehicles at Signalized Road Intersections

Isaac O. Olayode; Lagouge K. Tartibu; Modestus O. Okwu

doi:10.1109/ICMIMT52186.2021.9476201

Application of Fuzzy Mamdani Model for Effective Prediction of Traffic Flow of Vehicles at Signalized Road Intersections

Isaac O. Olayode
, Lagouge K. Tartibu
, Modestus O. Okwu

Mechanical and Industrial Engineering Technology

University of Johannesburg

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

9 Citations (Scopus)

Abstract

Over the last decade, the increase in urban population due to continuous migration from rural to urban parts of a country has led to the availability of more vehicles on the road, causing severe traffic bottlenecks, which is a big challenge in our society today. This study aims to develop an algorithm based on the signalized traffic control system to address the constant repetitive traffic congestion problem in South Africa. The Fuzzy Mamdani model (FMM) was implemented using MATLAB R2020. Within the investigation period, the number of connecting vehicles, the time taken for vehicles to navigate at road intersections, and the distance covered by the vehicles before the intersection were noted as input and output variables. Membership functions for input, output variables were defined, rules were developed based on available parameters, and traffic datasets were obtained. The result obtained from the FMM showed a significant improvement in the system. The model is capable of reducing the problem of traffic congestion significantly at signalized road intersections. However, further research can be conducted at different traffic conditions to prove the FMM Model's trustworthiness further.

Original language	English
Title of host publication	Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	219-224
Number of pages	6
ISBN (Electronic)	9780738144627
DOIs	https://doi.org/10.1109/ICMIMT52186.2021.9476201
Publication status	Published - 13 May 2021
Event	12th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021 - Cape Town, South Africa Duration: 13 May 2021 → 15 May 2021

Publication series

Name	Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021

Conference

Conference	12th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021
Country/Territory	South Africa
City	Cape Town
Period	13/05/21 → 15/05/21

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Fuzzy mamdani model
Signalized road intersection
Traffic congestion

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Mechanical Engineering
Mechanics of Materials
Metals and Alloys
Artificial Intelligence
Civil and Structural Engineering

Access to Document

10.1109/ICMIMT52186.2021.9476201

Cite this

Olayode, I. O., Tartibu, L. K., & Okwu, M. O. (2021). Application of Fuzzy Mamdani Model for Effective Prediction of Traffic Flow of Vehicles at Signalized Road Intersections. In Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021 (pp. 219-224). Article 9476201 (Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMIMT52186.2021.9476201

Olayode, Isaac O. ; Tartibu, Lagouge K. ; Okwu, Modestus O. / Application of Fuzzy Mamdani Model for Effective Prediction of Traffic Flow of Vehicles at Signalized Road Intersections. Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 219-224 (Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021).

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abstract = "Over the last decade, the increase in urban population due to continuous migration from rural to urban parts of a country has led to the availability of more vehicles on the road, causing severe traffic bottlenecks, which is a big challenge in our society today. This study aims to develop an algorithm based on the signalized traffic control system to address the constant repetitive traffic congestion problem in South Africa. The Fuzzy Mamdani model (FMM) was implemented using MATLAB R2020. Within the investigation period, the number of connecting vehicles, the time taken for vehicles to navigate at road intersections, and the distance covered by the vehicles before the intersection were noted as input and output variables. Membership functions for input, output variables were defined, rules were developed based on available parameters, and traffic datasets were obtained. The result obtained from the FMM showed a significant improvement in the system. The model is capable of reducing the problem of traffic congestion significantly at signalized road intersections. However, further research can be conducted at different traffic conditions to prove the FMM Model's trustworthiness further.",

keywords = "Fuzzy mamdani model, Signalized road intersection, Traffic congestion",

author = "Olayode, \{Isaac O.\} and Tartibu, \{Lagouge K.\} and Okwu, \{Modestus O.\}",

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Olayode, IO, Tartibu, LK & Okwu, MO 2021, Application of Fuzzy Mamdani Model for Effective Prediction of Traffic Flow of Vehicles at Signalized Road Intersections. in Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021., 9476201, Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021, Institute of Electrical and Electronics Engineers Inc., pp. 219-224, 12th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021, Cape Town, South Africa, 13/05/21. https://doi.org/10.1109/ICMIMT52186.2021.9476201

Application of Fuzzy Mamdani Model for Effective Prediction of Traffic Flow of Vehicles at Signalized Road Intersections. / Olayode, Isaac O.; Tartibu, Lagouge K.; Okwu, Modestus O.
Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 219-224 9476201 (Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021).

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

TY - GEN

T1 - Application of Fuzzy Mamdani Model for Effective Prediction of Traffic Flow of Vehicles at Signalized Road Intersections

AU - Olayode, Isaac O.

AU - Tartibu, Lagouge K.

AU - Okwu, Modestus O.

PY - 2021/5/13

Y1 - 2021/5/13

N2 - Over the last decade, the increase in urban population due to continuous migration from rural to urban parts of a country has led to the availability of more vehicles on the road, causing severe traffic bottlenecks, which is a big challenge in our society today. This study aims to develop an algorithm based on the signalized traffic control system to address the constant repetitive traffic congestion problem in South Africa. The Fuzzy Mamdani model (FMM) was implemented using MATLAB R2020. Within the investigation period, the number of connecting vehicles, the time taken for vehicles to navigate at road intersections, and the distance covered by the vehicles before the intersection were noted as input and output variables. Membership functions for input, output variables were defined, rules were developed based on available parameters, and traffic datasets were obtained. The result obtained from the FMM showed a significant improvement in the system. The model is capable of reducing the problem of traffic congestion significantly at signalized road intersections. However, further research can be conducted at different traffic conditions to prove the FMM Model's trustworthiness further.

AB - Over the last decade, the increase in urban population due to continuous migration from rural to urban parts of a country has led to the availability of more vehicles on the road, causing severe traffic bottlenecks, which is a big challenge in our society today. This study aims to develop an algorithm based on the signalized traffic control system to address the constant repetitive traffic congestion problem in South Africa. The Fuzzy Mamdani model (FMM) was implemented using MATLAB R2020. Within the investigation period, the number of connecting vehicles, the time taken for vehicles to navigate at road intersections, and the distance covered by the vehicles before the intersection were noted as input and output variables. Membership functions for input, output variables were defined, rules were developed based on available parameters, and traffic datasets were obtained. The result obtained from the FMM showed a significant improvement in the system. The model is capable of reducing the problem of traffic congestion significantly at signalized road intersections. However, further research can be conducted at different traffic conditions to prove the FMM Model's trustworthiness further.

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M3 - Conference contribution

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BT - Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th IEEE International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021

Y2 - 13 May 2021 through 15 May 2021

ER -

Olayode IO, Tartibu LK, Okwu MO. Application of Fuzzy Mamdani Model for Effective Prediction of Traffic Flow of Vehicles at Signalized Road Intersections. In Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 219-224. 9476201. (Proceedings of 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2021). doi: 10.1109/ICMIMT52186.2021.9476201

Application of Fuzzy Mamdani Model for Effective Prediction of Traffic Flow of Vehicles at Signalized Road Intersections

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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