ABSTRACT

Liberalised railway markets bring into play the economic interactions amongst three dominant interest groups: passengers as system users; public entities providing the track; and private firms operating the trains. Problems that arise are multi-criteria with multi-decision-makers who may be in conflict. Our approach to this problem is similar to that of a cooperative game-theoretic non-transferable utility (NTU) to reach Pareto optimal resolutions in which the aspirations of all players are taken into account. The data are collected from the Istanbul-Ankara high-speed railway via a stated preference survey. A multi-agent system (MAS) is developed via GOLang, a programming language where the agents negotiate and interact with others based on a set of parameters such as ticket price setting and resource allocation. The results show better timetabling for trains and how to achieve higher compensation rates for the infrastructure provider by collecting higher amounts of track access charges from an optimised allocation of resources.

摘要

自由化的铁路市场发挥了三个主要利益集团之间的经济互动：作为系统用户的乘客；提供跟踪的公共实体；和私人公司经营火车。出现的问题是可能存在冲突的具有多个决策者的多准则。我们针对此问题的方法与合作博弈论不可转让的效用（NTU）相似，可以达到帕累托最优分辨率，其中考虑了所有玩家的愿望。数据是通过指定的偏好调查从伊斯坦布尔-安卡拉高速铁路收集的。多代理系统（MAS）是通过GOLang开发的，GOLang是一种编程语言，在该语言中，代理根据一组价格（例如票价设置和资源分配）与其他成员进行协商和交互。