IMPUTATION PROCESS FOR MISSING DATA IN CARGO TRAIN SERVICES

S.Sarifah Radiah Shariff, Siti Nasuha Zubir, Wan Mazlina Wan Mohamed

Abstract


Derailments of cargo train have frequently occurred during the last decade. Many factors contribute to this incident, especially its total amount of carried weight. Severe derailments cause damage to both lives and properties every year. If the amount of carried weight of cargo train could be accurately forecasted in advance, then its detrimental effect could be greatly minimized. The major aim of the study is to model and predict the amount of carried weight of cargo train by routes in the rail transportation system, however, the unavailability of complete data is always a big problem. This study shows the process of handling missing values in the data. The data in carried cement in twelve (12) different routes by Keretapi Tanah Melayu Berhad (KTMB) cargo for 2016 -2018 is used as a case study.

Keywords


Carried weight, cargo derailment, data imputation, missing data

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DOI: https://doi.org/10.25292/atlr.v3i0.350

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