ABSTRACT

It is crucial for policymakers to satisfy the expectation of network users in practice. It is a so-called responsive transport network design problem. It is curious that this important problem is rarely explored. This paper aims to propose a method to solve this problem. A novel bi-level programming model is formulated where the upper level is to minimize investment cost with desired travel time reduction target, while the lower level is transport system equilibrium that is a closed-loop feedback process between destination choice and traffic assignment. It is well known that the solution of bi-level programming model is challenging. A trial and error algorithm is designed to solve the proposed model. Finally, a computational experiment is carried out to demonstrate the effectiveness and operability of the proposed method and algorithm. Results show that they are useful tools for investment decision making on target-oriented transport network design.

摘要

政策制定者在实践中满足网络用户的期望至关重要。这是一个所谓的响应式传输网络设计问题。奇怪的是，很少有人探讨这个重要问题。本文旨在提出一种方法来解决这个问题。制定了一种新颖的双层规划模型，其中上层是最小化投资成本和期望的旅行时间减少目标，而下层是交通系统平衡，是目的地选择和交通分配之间的闭环反馈过程。众所周知，双层规划模型的解决方案具有挑战性。设计了一个试错算法来解决所提出的模型。最后通过计算实验验证了所提方法和算法的有效性和可操作性。