Microsimulation-based decision support system for modern transit planning

拟议研究计划的总体目标是开发一种最先进的决策支持系统，用于现代交通系统的战略和服务规划。在过去的5年里，我们发展了基于微模拟学习的公交分配方法(MILATRAS)，这是一个非常有前途的公交分配问题的建模工具。它也是对其他旅行选择进行综合建模的创新框架。目前，MILATRAS仅限于公交分配问题。拟议的研究方案由两部分组成。在第一个组件中，我们将在MILATRAS框架内开发一个“模式转换”模型。第二个组成部分将涉及开发用于最佳路线规划的MILATRAS模块。

The overall objective of the proposed research program is to develop a state-of-the-art decision support system for strategic and service planning of modern transit systems. In the past 5 years, we developed MILATRAS (MIcrosimulation Learning-based Approach to TRansit ASsignment) which is a very promising tool for the modelling of the transit assignment problem. It is also an innovative framework for the integrated modelling of other travel choices. Currently, MILATRAS is restricted to the transit assignment problem only. The proposed research program consists of 2 components. In the first component, we will develop a "mode shift" model within the framework of MILATRAS. The second component will involve the development of a MILATRAS module for optimal route planning.