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Intelligent Traffic Control System for Over-Saturated Signalized Intersections in Kuwait..

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

Artificial Intelligence

Abstract

This paper proposes a new intelligent traffic control (ITC) system which is more efficient than the traffic control system currently used in the state of Kuwait. The proposed ITC system is designed as a dynamic system by using a fuzzy expert system; the fuzzy rules are applied in the visual basic and computer-based program (Excel) to run the validation process. The developed control system applied on five intersections in the grid network at four periods. The results show that the number of vehicles passing the intersection phases is increased in most phases by an average of 12.9% at the first period, 23.3% at the second period, 10.4% at the third period and by 21.2% at the fourth period. For the same periods, the phases green time is increased by an average of 9.1%, 5.8%, 9.9% and 6.3%. And the number of intersection cycles remains constant at the most time which means that the developed control system distributes the phases green time dynamically based on the traffic situation.

DOI

10.21608/kjis.2018.3240.1003

Keywords

artificial intelligence, Fuzzy Logic, Intelligent Transportation Systems, Neural Networks, Traffic Control Systems

Authors

First Name

Woroud

Last Name

Alothman

MiddleName

-

Affiliation

Engineering, Mechanical, University of Bahrain, Bahrain.

Email

woroudalothman@gmail.com

City

-

Orcid

-

Volume

1

Article Issue

1

Related Issue

781

Issue Date

2018-01-01

Receive Date

2018-03-16

Publish Date

2018-01-01

Page Start

15

Page End

20

Print ISSN

2537-0677

Online ISSN

2535-1478

Link

https://kjis.journals.ekb.eg/article_8650.html

Detail API

https://kjis.journals.ekb.eg/service?article_code=8650

Order

2

Type

Original Article

Type Code

462

Publication Type

Journal

Publication Title

Kafrelsheikh Journal of Information Sciences

Publication Link

https://kjis.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023