Prakash, Surya and Thompson, Russell G. (2021) Two phase Monte Carlo simulation approach for multimodal network routing problem. [Conference Proceedings]
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Abstract
Multimodal transportation is being increasingly adopted by a large number of freight companies. Multimodal transportation refers to using combinations of various transportation modes to move commodities from origin to destination. In this paper, a two phase Monte Carlo simulation approach is applied to find the best route(s) in a multimodal network for given origin and destination. The Monte Carlo model developed in this paper integrates total costs, including transfer costs from one mode of transportation to another, duration of routes and the availability of each mode for each leg to generate the most preferred routes. The results of the Monte Carlo simulations are then analysed to extract the pareto optimal front solutions to offer various routes having respective advantages in terms of duration and/or costs. The proposed approach is then applied to a simple situation to demonstrate its simplicity, versatility and practicality.
| Item Type: | Conference Proceedings |
|---|---|
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics |
| Divisions: | School of Information Technology, Engineering, Mathematics and Physics (STEMP) |
| Depositing User: | Surya Prakash |
| Date Deposited: | 17 Jan 2024 00:51 |
| Last Modified: | 17 Jan 2024 00:51 |
| URI: | https://repository.usp.ac.fj/id/eprint/14223 |
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