Estimating truck queue length at Nigeria seaport: State-Dependent Approximation Model

Akpudo Chijioke Udechukwu¹ , Nwachukwu Tochi Clement²

Section:Research Paper, Product Type: Journal-Paper
Vol.11 , Issue.2 , pp.1-5, Apr-2024

Online published on Apr 30, 2024

Copyright © Akpudo Chijioke Udechukwu, Nwachukwu Tochi Clement . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The aim of the study is to estimate the truck queue length calling at Nigeria seaport with a focus to determine the queue formation state and queue dispersion using State-Dependent Approximation Model. To do this, trucks traffic for calling truck at the Apapa complex ports was examined for a period of seven days starting from 12:01 midnight to 12:00 on each day. At the end of the assessment period, five thousand one hundred and two (5102) trucks were recorded and used for analysis. The data of the study was sorted and analyzed using Microsoft Excel analytical software. The regression result analysis for queue formation state show that it took less an hour for queue to reach its steady-state i.e. critical point for queue formation process shows a value of 0.6. The result on queue dispersion state show that it took a truck several hours to truck to dispersed or leave the gate with critical point of queue dispersion state shows a value of 40.16. the study recommended that Nigeria port authority need to implement gate appointment system (GAS) method of the management of truck arrival into the port in order to reduce the waiting time of truck (dispersion state) in Nigeria seaport.

Key-Words / Index Term :
State-Dependent Approximation Model, Arrive time, formation state, dispersion state, Apapa port

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