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Simulation-Based Headway Optimization for the Bangkok Airport Railway System under Uncertainty by Pruk Sasithong; Amir Parnianifard; Nitinun Sinpan; Suvit Poomrittigul; Muhammad Saadi; Lunchakorn Wuttisittikulkij is a Engineering article available to read on EtoBox.

What is Simulation-Based Headway Optimization for the Bangkok Airport Railway System under Uncertainty about?

The ever-increasing demand for intercity travel, as well as competition among all modes of transportation, is an unavoidable reality that today’s urban rail transit system must deal with. To meet this problem, urban railway companies must try to make better use of their existing plans and resources. Analytical approaches or simulation modeling can be used to develop or change a rail schedule to reflect the appropriate passenger demand. However, in the case of complex railway networks with several interlocking zones, analytical methods frequently have drawbacks. The goal of this article is to create a new simulation-based optimization model for the Bangkok railway system that takes into account the real assumptions and requirements in the railway system, such as uncertainty. The common particle swarm optimization (PSO) technique is combined with the developed simulation model to optimize the headways for each period in each day. Two different objective functions are incorporated into the models to consider both customer satisfaction by reducing the average waiting time and railway management satisfaction by reducing needed energy usage (e.g., reducing operating trains). The results

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Author

Pruk Sasithong; Amir Parnianifard; Nitinun Sinpan; Suvit Poomrittigul; Muhammad Saadi; Lunchakorn Wuttisittikulkij

Publisher

MDPI AG

Published

2023

Language

EN

Field

Engineering (Physical Sciences)