Home > Published Issues > 2024 > Volume 15, No. 3, 2024 >
JAIT 2024 Vol.15(3): 414-421
doi: 10.12720/jait.15.3.414-421

A Biobjective Hub Location Model with Consideration of Congestion for Railway Transportation Planning

Sunarin Chanta 1,*, Ornurai Sangsawang 1, Margaret M. Wiecek 2, and Norio Tomii 3
1. Department of Industrial Management, Faculty of Industrial Technology and Management,
King Mongkut’s University of Technology North Bangkok, Prachinburi, Thailand
2. School of Mathematical and Statistical Sciences, Clemson University, Clemson, USA
3. Department of Mechanical Engineering, College of Industrial Technology, Nihon University, Chiba, Japan
Email: sunarin.c@itm.kmutnb.ac.th (S.C.); ornurai.s@itm.kmutnb.ac.th (O.S.); wmalgor@clemson.edu (M.M.W.); tomii.norio@nihon-u.ac.jp (N.T.)
*Corresponding author

Manuscript received September 18, 2023; revised October 12, 2023; accepted October 26, 2023; published March 26, 2024.

Abstract—Transportation planning is highly essential and important, especially for railway systems. In this paper, we propose an optimization model to determine optimal station locations in a rail network. The objective is to minimize the total transportation cost, which is composed of operation costs and fixed costs. Congestion of the system is considered as the second objective, which is to minimize the longest travel time that a passenger spends on the trip. The problem is formulated as a multi-objective programming model and solved by the epsilon-constraint method. A case study of railway transportation is presented. By using the proposed optimization model, we are able to obtain all non-dominated solution points, which provides alternatives for decision-makers. The results are beneficial and support decision-making in railway transportation planning.
Keywords—hub location, railway, transportation planning, optimization, congestion

Cite: Sunarin Chanta, Ornurai Sangsawang, Margaret M. Wiecek, and Norio Tomii, "A Biobjective Hub Location Model with Consideration of Congestion for Railway Transportation Planning," Journal of Advances in Information Technology, Vol. 15, No. 3, pp. 414-421, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.