Transit Network Planning Problem data

This dataset contains research output from studying the Transit Network Design Problem (TNDP). At a high level, the dataset includes: a novel transit network based on the Brisbane transport infrastructure, and results from the testing of new methods on the Brisbane network and existing benchmark networks (Mandl and Mumford).

This dataset contains four subsets of data, and are related to Joshua Rosentreter's PhD Thesis. These are outlined below:

Transit Network Dataset: A novel transit network for researchers to use when addressing the Transit Network Planning Problem. The network is based on the Brisbane City transportation infrastructure.
MIP Model for TNFSP: Evaluations of existing solutions to the TNDP and TNDFSP using a variety of existing methods and a proposed mixed integer programming (MIP) model.
Meta-Heuristic Method for TNDFSP: Results from a novel (adapted from existing) method designed to target the hub-and- spoke style structure of the demand within a metropolitan city based network.
Hybrid Method for TNDFSP: Results from a novel method created through the hybridisation of the MIP model and meta-heuristic method.

Further descriptions of the data are contained in the subfolders within.

本数据集汇集了关于通行网络设计问题（TNDP）的研究成果。概而言之，该数据集包含以下内容：一个基于布里斯班交通基础设施的新型通行网络，以及在该网络及现有基准网络（Mandl 和 Mumford）上对新方法测试的结果。该数据集包含四个数据子集，与 Joshua Rosentreter 的博士论文相关，具体如下：

通行网络数据集：为研究者解决通行网络规划问题时提供的新型通行网络。该网络以布里斯班城市交通基础设施为基础。
TNFSP 的混合整数规划（MIP）模型：使用多种现有方法和所提出的混合整数规划（MIP）模型对 TNDP 和 TNDFSP 的现有解决方案进行评估。
TNDFSP 的元启发式方法：一种新型（源自现有方法）方法的测试结果，旨在针对大城市网络中需求集中式结构进行优化。
TNDFSP 的混合方法：通过混合 MIP 模型和元启发式方法创造的新型方法的测试结果。

数据的具体描述包含在子文件夹中。