ABSTRACT

Continuous Approximation (CA) models have been used to solve transportation problems due to their ability to efficiently model complex transportation systems and offer flexibility in testing alternative policies. The current study develops a CA model for optimizing transportation planning for ferry services. The model is tested in a case study for a ferry network in the Aegean Sea, Greece. The specific network is chosen due to the high seasonal demand changes that the network experiences. For this reason, three strategies and three scenarios for each strategy are modeled, resulting in nine cases, to test the developed method. The three strategies reflect fleet size and ferry trip variations, while the three scenarios reflect variations in demand for each quarter of the year. The analysis shows that the estimated impacts provide an understanding of the relationship between time delay and operational costs, and the trade-offs between different strategies.

摘要

连续近似 (CA) 模型已被用于解决交通问题，因为它们能够有效地模拟复杂的交通系统并在测试替代政策时提供灵活性。目前的研究开发了一种 CA 模型，用于优化渡轮服务的运输规划。该模型在希腊爱琴海的渡轮网络案例研究中进行了测试。选择特定网络是因为网络经历的高季节性需求变化。为此，对三个策略和每个策略的三个场景进行了建模，产生了九个案例，以测试所开发的方法。这三种策略反映了船队规模和渡轮行程的变化，而三种情景反映了一年中每个季度的需求变化。