The Trip Distribution Analysis of Water Trucks as Heavy Vehicles with PTV Visum Application

Zulfiani Ar, Anie Tuati, Amy Wadu

2022

Abstract

Water is the basic need of people and it supports the basic activities of the community in Kupang City. Therefore, in order to meet the need for clean water, communities purchase water that is delivered by water trucks and sold by private sectors. These heavy vehicles pass through public roads, increase the traffic volume and affect the road capacity. This study aims to determine the trip distribution of heavy water trucks using the Origin-Destination Matrix (ODM). The method used in analyzing the trip distribution is the Double Constrained Gravity (DCGR) model with a negative exponential impedance function, which is then used to assign the road network traffic in the PTV Visum Application. The resulting trip distribution model is Tid = Oi.Dd.Ai.Bd.exp(-0,6181.Cid) and the total trip distribution of water trucks is at the rate of 131 vehicles/day. The prediction of trip distribution shows that the highest traffic assignment is found on the Liliba village to Oepura village route

Paper Citation

in Harvard Style

Ar Z., Tuati A. and Wadu A. (2022). The Trip Distribution Analysis of Water Trucks as Heavy Vehicles with PTV Visum Application. In Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES; ISBN 978-989-758-619-4, SciTePress, pages 1056-1061. DOI: 10.5220/0012057300003575

in Bibtex Style

@conference{icast-es22,
author={Zulfiani Ar and Anie Tuati and Amy Wadu},
title={The Trip Distribution Analysis of Water Trucks as Heavy Vehicles with PTV Visum Application},
booktitle={Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES},
year={2022},
pages={1056-1061},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012057300003575},
isbn={978-989-758-619-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES
TI - The Trip Distribution Analysis of Water Trucks as Heavy Vehicles with PTV Visum Application
SN - 978-989-758-619-4
AU - Ar Z.
AU - Tuati A.
AU - Wadu A.
PY - 2022
SP - 1056
EP - 1061
DO - 10.5220/0012057300003575
PB - SciTePress