Estimation of train arrival punctuality using fuzzy logic approach / Nur Syafiqa Yusri

Yusri, Nur Syafiqa (2019) Estimation of train arrival punctuality using fuzzy logic approach / Nur Syafiqa Yusri. Degree thesis, Universiti Teknologi Mara Perlis.

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Abstract

Public transport plays a significant role in society. Nowadays, many people use public transport to save time and costs. KTM Commuter is one of the favourite public transport that people prefer to use. However, the punctuality of the train gives difficulties to KTM user. Any delays and disruptions would give bad consequences to its users. This research focuses on a commuter train that departs from Bukit Mertajam at 16:36 and arrive at Arau at 17:57. The objective of this study is to estimate the punctuality of the train arrival using fuzzy logic approach and MATLAB software was used for data analysis. There are three variables were considered to achieve the objective which is condition of the train, time of the train departure and total time the train travelled. Six linguistic variables are used which is punctual, late, too late, good, moderate and poor to interpret all the parameters. The result obtained from the MATLAB software was compared with the actual data based on TRUE or FALSE statement with accuracy rate is 87%. The result shows punctuality of the train arrival can be estimated by using fuzzy logic approach. Therefore, the model develop in this study has provided an advance method in estimating train punctuality.

Item Type: Thesis (Degree)
Creators:
CreatorsID Num.
Yusri, Nur SyafiqaUNSPECIFIED
Subjects: Q Science > QA Mathematics > Fuzzy logic
T Technology > TF Railroad engineering and operation > Railway operation and management
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences (R)
Item ID: 25385
Uncontrolled Keywords: punctuality ; fuzzy logic ; Public transport
Last Modified: 28 Aug 2019 07:16
Depositing User: Perpustakaan Dato' Jaafar Hassan UiTM Cawangan Perlis
URI: http://ir.uitm.edu.my/id/eprint/25385

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