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Grey number based methodology for non-homogeneous preference elicitation in fuzzy risk analysis management

Abu Bakar, Ahmad Syafadhli and Ku Khalif, Ku Muhammad Naim and Yaakob, Abdul Malek and Gegov, Alexander and Mohamad Amin, Ahmad Zaki (2019) Grey number based methodology for non-homogeneous preference elicitation in fuzzy risk analysis management. In: Applying Fuzzy Logic for the Digital Economy and Society. Springer Nature, Switzerland, pp. 135-148. ISBN 978-3-030-03367-5

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The significantly increase in the number of vehicles have become a major problem, that cause enormous problems such as congestion, pollution, wastage of money and time. Therefore, the simulating and optimizing traffic control algorithms are needed to accommodate the demand in order to solve traffic congestion problems. Predicting effective and optimal green time taken for the intersections will help minimizing the traffic congestion henceforth reducing the waiting time. In this study, fuzzy logic is used to find optimal traffic waiting time. The method determines the effective and optimal traffic signal timing that suits different traffic densities. In this case, the study has considered a four-way intersection. The results indicate that different road intersections require different effective and optimal of green time to reduce traffic congestion. The higher the number of cars at the intersection, the effective green time will be longer rather than the lesser number of cars. The flexibility feature of the fuzzy logic will provide suitable optimal green time for the intersection, which is cordially benefit the users. It is worth mentioning that fuzzy logic traffic lights controller performed better than the fixed-time controller due to its flexibility and the capability in reducing the waiting time.

Item Type: Book Section
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions: School of Business Management
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 04 Jun 2020 00:58
Last Modified: 04 Jun 2020 00:58
URI: http://repo.uum.edu.my/id/eprint/27071

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